analysis of interpretation thesis

How To Write The Results/Findings Chapter

For quantitative studies (dissertations & theses).

By: Derek Jansen (MBA) | Expert Reviewed By: Kerryn Warren (PhD) | July 2021

So, you’ve completed your quantitative data analysis and it’s time to report on your findings. But where do you start? In this post, we’ll walk you through the results chapter (also called the findings or analysis chapter), step by step, so that you can craft this section of your dissertation or thesis with confidence. If you’re looking for information regarding the results chapter for qualitative studies, you can find that here .

Overview: Quantitative Results Chapter

• What exactly the results chapter is
• What you need to include in your chapter
• How to structure the chapter
• Tips and tricks for writing a top-notch chapter
• Free results chapter template

What exactly is the results chapter?

The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you’ve found in terms of the quantitative data you’ve collected. It presents the data using a clear text narrative, supported by tables, graphs and charts. In doing so, it also highlights any potential issues (such as outliers or unusual findings) you’ve come across.

But how’s that different from the discussion chapter?

Well, in the results chapter, you only present your statistical findings. Only the numbers, so to speak – no more, no less. Contrasted to this, in the discussion chapter , you interpret your findings and link them to prior research (i.e. your literature review), as well as your research objectives and research questions . In other words, the results chapter presents and describes the data, while the discussion chapter interprets the data.

Let’s look at an example.

In your results chapter, you may have a plot that shows how respondents to a survey  responded: the numbers of respondents per category, for instance. You may also state whether this supports a hypothesis by using a p-value from a statistical test. But it is only in the discussion chapter where you will say why this is relevant or how it compares with the literature or the broader picture. So, in your results chapter, make sure that you don’t present anything other than the hard facts – this is not the place for subjectivity.

It’s worth mentioning that some universities prefer you to combine the results and discussion chapters. Even so, it is good practice to separate the results and discussion elements within the chapter, as this ensures your findings are fully described. Typically, though, the results and discussion chapters are split up in quantitative studies. If you’re unsure, chat with your research supervisor or chair to find out what their preference is.

What should you include in the results chapter?

Following your analysis, it’s likely you’ll have far more data than are necessary to include in your chapter. In all likelihood, you’ll have a mountain of SPSS or R output data, and it’s your job to decide what’s most relevant. You’ll need to cut through the noise and focus on the data that matters.

This doesn’t mean that those analyses were a waste of time – on the contrary, those analyses ensure that you have a good understanding of your dataset and how to interpret it. However, that doesn’t mean your reader or examiner needs to see the 165 histograms you created! Relevance is key.

How do I decide what’s relevant?

At this point, it can be difficult to strike a balance between what is and isn’t important. But the most important thing is to ensure your results reflect and align with the purpose of your study .  So, you need to revisit your research aims, objectives and research questions and use these as a litmus test for relevance. Make sure that you refer back to these constantly when writing up your chapter so that you stay on track.

As a general guide, your results chapter will typically include the following:

• Some demographic data about your sample
• Reliability tests (if you used measurement scales)
• Descriptive statistics
• Inferential statistics (if your research objectives and questions require these)
• Hypothesis tests (again, if your research objectives and questions require these)

We’ll discuss each of these points in more detail in the next section.

Importantly, your results chapter needs to lay the foundation for your discussion chapter . This means that, in your results chapter, you need to include all the data that you will use as the basis for your interpretation in the discussion chapter.

For example, if you plan to highlight the strong relationship between Variable X and Variable Y in your discussion chapter, you need to present the respective analysis in your results chapter – perhaps a correlation or regression analysis.

Need a helping hand?

How do I write the results chapter?

There are multiple steps involved in writing up the results chapter for your quantitative research. The exact number of steps applicable to you will vary from study to study and will depend on the nature of the research aims, objectives and research questions . However, we’ll outline the generic steps below.

Step 1 – Revisit your research questions

The first step in writing your results chapter is to revisit your research objectives and research questions . These will be (or at least, should be!) the driving force behind your results and discussion chapters, so you need to review them and then ask yourself which statistical analyses and tests (from your mountain of data) would specifically help you address these . For each research objective and research question, list the specific piece (or pieces) of analysis that address it.

At this stage, it’s also useful to think about the key points that you want to raise in your discussion chapter and note these down so that you have a clear reminder of which data points and analyses you want to highlight in the results chapter. Again, list your points and then list the specific piece of analysis that addresses each point. 

Next, you should draw up a rough outline of how you plan to structure your chapter . Which analyses and statistical tests will you present and in what order? We’ll discuss the “standard structure” in more detail later, but it’s worth mentioning now that it’s always useful to draw up a rough outline before you start writing (this advice applies to any chapter).

Step 2 – Craft an overview introduction

As with all chapters in your dissertation or thesis, you should start your quantitative results chapter by providing a brief overview of what you’ll do in the chapter and why . For example, you’d explain that you will start by presenting demographic data to understand the representativeness of the sample, before moving onto X, Y and Z.

This section shouldn’t be lengthy – a paragraph or two maximum. Also, it’s a good idea to weave the research questions into this section so that there’s a golden thread that runs through the document.

Step 3 – Present the sample demographic data

The first set of data that you’ll present is an overview of the sample demographics – in other words, the demographics of your respondents.

For example:

• What age range are they?
• How is gender distributed?
• How is ethnicity distributed?
• What areas do the participants live in?

The purpose of this is to assess how representative the sample is of the broader population. This is important for the sake of the generalisability of the results. If your sample is not representative of the population, you will not be able to generalise your findings. This is not necessarily the end of the world, but it is a limitation you’ll need to acknowledge.

Of course, to make this representativeness assessment, you’ll need to have a clear view of the demographics of the population. So, make sure that you design your survey to capture the correct demographic information that you will compare your sample to.

But what if I’m not interested in generalisability?

Well, even if your purpose is not necessarily to extrapolate your findings to the broader population, understanding your sample will allow you to interpret your findings appropriately, considering who responded. In other words, it will help you contextualise your findings . For example, if 80% of your sample was aged over 65, this may be a significant contextual factor to consider when interpreting the data. Therefore, it’s important to understand and present the demographic data.

 Step 4 – Review composite measures and the data “shape”.

Before you undertake any statistical analysis, you’ll need to do some checks to ensure that your data are suitable for the analysis methods and techniques you plan to use. If you try to analyse data that doesn’t meet the assumptions of a specific statistical technique, your results will be largely meaningless. Therefore, you may need to show that the methods and techniques you’ll use are “allowed”.

Most commonly, there are two areas you need to pay attention to:

#1: Composite measures

The first is when you have multiple scale-based measures that combine to capture one construct – this is called a composite measure .  For example, you may have four Likert scale-based measures that (should) all measure the same thing, but in different ways. In other words, in a survey, these four scales should all receive similar ratings. This is called “ internal consistency ”.

Internal consistency is not guaranteed though (especially if you developed the measures yourself), so you need to assess the reliability of each composite measure using a test. Typically, Cronbach’s Alpha is a common test used to assess internal consistency – i.e., to show that the items you’re combining are more or less saying the same thing. A high alpha score means that your measure is internally consistent. A low alpha score means you may need to consider scrapping one or more of the measures.

#2: Data shape

The second matter that you should address early on in your results chapter is data shape. In other words, you need to assess whether the data in your set are symmetrical (i.e. normally distributed) or not, as this will directly impact what type of analyses you can use. For many common inferential tests such as T-tests or ANOVAs (we’ll discuss these a bit later), your data needs to be normally distributed. If it’s not, you’ll need to adjust your strategy and use alternative tests.

To assess the shape of the data, you’ll usually assess a variety of descriptive statistics (such as the mean, median and skewness), which is what we’ll look at next.

Step 5 – Present the descriptive statistics

Now that you’ve laid the foundation by discussing the representativeness of your sample, as well as the reliability of your measures and the shape of your data, you can get started with the actual statistical analysis. The first step is to present the descriptive statistics for your variables.

For scaled data, this usually includes statistics such as:

• The mean – this is simply the mathematical average of a range of numbers.
• The median – this is the midpoint in a range of numbers when the numbers are arranged in order.
• The mode – this is the most commonly repeated number in the data set.
• Standard deviation – this metric indicates how dispersed a range of numbers is. In other words, how close all the numbers are to the mean (the average).
• Skewness – this indicates how symmetrical a range of numbers is. In other words, do they tend to cluster into a smooth bell curve shape in the middle of the graph (this is called a normal or parametric distribution), or do they lean to the left or right (this is called a non-normal or non-parametric distribution).
• Kurtosis – this metric indicates whether the data are heavily or lightly-tailed, relative to the normal distribution. In other words, how peaked or flat the distribution is.

A large table that indicates all the above for multiple variables can be a very effective way to present your data economically. You can also use colour coding to help make the data more easily digestible.

For categorical data, where you show the percentage of people who chose or fit into a category, for instance, you can either just plain describe the percentages or numbers of people who responded to something or use graphs and charts (such as bar graphs and pie charts) to present your data in this section of the chapter.

When using figures, make sure that you label them simply and clearly , so that your reader can easily understand them. There’s nothing more frustrating than a graph that’s missing axis labels! Keep in mind that although you’ll be presenting charts and graphs, your text content needs to present a clear narrative that can stand on its own. In other words, don’t rely purely on your figures and tables to convey your key points: highlight the crucial trends and values in the text. Figures and tables should complement the writing, not carry it .

Depending on your research aims, objectives and research questions, you may stop your analysis at this point (i.e. descriptive statistics). However, if your study requires inferential statistics, then it’s time to deep dive into those .

Step 6 – Present the inferential statistics

Inferential statistics are used to make generalisations about a population , whereas descriptive statistics focus purely on the sample . Inferential statistical techniques, broadly speaking, can be broken down into two groups .

First, there are those that compare measurements between groups , such as t-tests (which measure differences between two groups) and ANOVAs (which measure differences between multiple groups). Second, there are techniques that assess the relationships between variables , such as correlation analysis and regression analysis. Within each of these, some tests can be used for normally distributed (parametric) data and some tests are designed specifically for use on non-parametric data.

There are a seemingly endless number of tests that you can use to crunch your data, so it’s easy to run down a rabbit hole and end up with piles of test data. Ultimately, the most important thing is to make sure that you adopt the tests and techniques that allow you to achieve your research objectives and answer your research questions .

In this section of the results chapter, you should try to make use of figures and visual components as effectively as possible. For example, if you present a correlation table, use colour coding to highlight the significance of the correlation values, or scatterplots to visually demonstrate what the trend is. The easier you make it for your reader to digest your findings, the more effectively you’ll be able to make your arguments in the next chapter.

Step 7 – Test your hypotheses

If your study requires it, the next stage is hypothesis testing. A hypothesis is a statement , often indicating a difference between groups or relationship between variables, that can be supported or rejected by a statistical test. However, not all studies will involve hypotheses (again, it depends on the research objectives), so don’t feel like you “must” present and test hypotheses just because you’re undertaking quantitative research.

The basic process for hypothesis testing is as follows:

• Specify your null hypothesis (for example, “The chemical psilocybin has no effect on time perception).
• Specify your alternative hypothesis (e.g., “The chemical psilocybin has an effect on time perception)
• Set your significance level (this is usually 0.05)
• Calculate your statistics and find your p-value (e.g., p=0.01)
• Draw your conclusions (e.g., “The chemical psilocybin does have an effect on time perception”)

Finally, if the aim of your study is to develop and test a conceptual framework , this is the time to present it, following the testing of your hypotheses. While you don’t need to develop or discuss these findings further in the results chapter, indicating whether the tests (and their p-values) support or reject the hypotheses is crucial.

Step 8 – Provide a chapter summary

To wrap up your results chapter and transition to the discussion chapter, you should provide a brief summary of the key findings . “Brief” is the keyword here – much like the chapter introduction, this shouldn’t be lengthy – a paragraph or two maximum. Highlight the findings most relevant to your research objectives and research questions, and wrap it up.

Some final thoughts, tips and tricks

Now that you’ve got the essentials down, here are a few tips and tricks to make your quantitative results chapter shine:

• When writing your results chapter, report your findings in the past tense . You’re talking about what you’ve found in your data, not what you are currently looking for or trying to find.
• Structure your results chapter systematically and sequentially . If you had two experiments where findings from the one generated inputs into the other, report on them in order.
• Make your own tables and graphs rather than copying and pasting them from statistical analysis programmes like SPSS. Check out the DataIsBeautiful reddit for some inspiration.
• Once you’re done writing, review your work to make sure that you have provided enough information to answer your research questions , but also that you didn’t include superfluous information.

If you’ve got any questions about writing up the quantitative results chapter, please leave a comment below. If you’d like 1-on-1 assistance with your quantitative analysis and discussion, check out our hands-on coaching service , or book a free consultation with a friendly coach.

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11 Tips For Writing a Dissertation Data Analysis

Since the evolution of the fourth industrial revolution – the Digital World; lots of data have surrounded us. There are terabytes of data around us or in data centers that need to be processed and used. The data needs to be appropriately analyzed to process it, and Dissertation data analysis forms its basis. If data analysis is valid and free from errors, the research outcomes will be reliable and lead to a successful dissertation. 

So, in today’s topic, we will cover the need to analyze data, dissertation data analysis, and mainly the tips for writing an outstanding data analysis dissertation. If you are a doctoral student and plan to perform dissertation data analysis on your data, make sure that you give this article a thorough read for the best tips!

What is Data Analysis in Dissertation?

Even f you have the data collected and compiled in the form of facts and figures, it is not enough for proving your research outcomes. There is still a need to apply dissertation data analysis on your data; to use it in the dissertation. It provides scientific support to the thesis and conclusion of the research.

Data Analysis Tools

There are plenty of indicative tests used to analyze data and infer relevant results for the discussion part. Following are some tests  used to perform analysis of data leading to a scientific conclusion:

11 Most Useful Tips for Dissertation Data Analysis

Doctoral students need to perform dissertation data analysis and then dissertation to receive their degree. Many Ph.D. students find it hard to do dissertation data analysis because they are not trained in it.

1. Dissertation Data Analysis Services

The first tip applies to those students who can afford to look for help with their dissertation data analysis work. It’s a viable option, and it can help with time management and with building the other elements of the dissertation with much detail.

Dissertation Analysis services are professional services that help doctoral students with all the basics of their dissertation work, from planning, research and clarification, methodology, dissertation data analysis and review, literature review, and final powerpoint presentation.

One great reference for dissertation data analysis professional services is Statistics Solutions , they’ve been around for over 22 years helping students succeed in their dissertation work. You can find the link to their website here .

Following are some helpful tips for writing a splendid dissertation data analysis:

2. Relevance of Collected Data

3. data analysis.

For analysis, it is crucial to use such methods that fit best with the types of data collected and the research objectives. Elaborate on these methods and the ones that justify your data collection methods thoroughly. Make sure to make the reader believe that you did not choose your method randomly. Instead, you arrived at it after critical analysis and prolonged research.

The overall objective of data analysis is to detect patterns and inclinations in data and then present the outcomes implicitly.  It helps in providing a solid foundation for critical conclusions and assisting the researcher to complete the dissertation proposal. 

4. Qualitative Data Analysis

Qualitative data refers to data that does not involve numbers. You are required to carry out an analysis of the data collected through experiments, focus groups, and interviews. This can be a time-taking process because it requires iterative examination and sometimes demanding the application of hermeneutics. Note that using qualitative technique doesn’t only mean generating good outcomes but to unveil more profound knowledge that can be transferrable.

Presenting qualitative data analysis in a dissertation  can also be a challenging task. It contains longer and more detailed responses. Placing such comprehensive data coherently in one chapter of the dissertation can be difficult due to two reasons. Firstly, we cannot figure out clearly which data to include and which one to exclude. Secondly, unlike quantitative data, it becomes problematic to present data in figures and tables. Making information condensed into a visual representation is not possible. As a writer, it is of essence to address both of these challenges.

This method involves analyzing qualitative data based on an argument that a researcher already defines. It’s a comparatively easy approach to analyze data. It is suitable for the researcher with a fair idea about the responses they are likely to receive from the questionnaires.

In this method, the researcher analyzes the data not based on any predefined rules. It is a time-taking process used by students who have very little knowledge of the research phenomenon.

5. Quantitative Data Analysis

The Presentation of quantitative data  depends on the domain to which it is being presented. It is beneficial to consider your audience while writing your findings. Quantitative data for  hard sciences  might require numeric inputs and statistics. As for  natural sciences , such comprehensive analysis is not required.

Following are some of the methods used to perform quantitative data analysis. 

6. Data Presentation Tools

Since large volumes of data need to be represented, it becomes a difficult task to present such an amount of data in coherent ways. To resolve this issue, consider all the available choices you have, such as tables, charts, diagrams, and graphs. 

7. Include Appendix or Addendum

After presenting a large amount of data, your dissertation analysis part might get messy and look disorganized. Also, you would not be cutting down or excluding the data you spent days and months collecting. To avoid this, you should include an appendix part. 

The data you find hard to arrange within the text, include that in the  appendix part of a dissertation . And place questionnaires, copies of focus groups and interviews, and data sheets in the appendix. On the other hand, one must put the statistical analysis and sayings quoted by interviewees within the dissertation. 

8. Thoroughness of Data

Thoroughly demonstrate the ideas and critically analyze each perspective taking care of the points where errors can occur. Always make sure to discuss the anomalies and strengths of your data to add credibility to your research.

9. Discussing Data

Discussion of data involves elaborating the dimensions to classify patterns, themes, and trends in presented data. In addition, to balancing, also take theoretical interpretations into account. Discuss the reliability of your data by assessing their effect and significance. Do not hide the anomalies. While using interviews to discuss the data, make sure you use relevant quotes to develop a strong rationale. 

10. Findings and Results

Findings refer to the facts derived after the analysis of collected data. These outcomes should be stated; clearly, their statements should tightly support your objective and provide logical reasoning and scientific backing to your point. This part comprises of majority part of the dissertation. 

11. Connection with Literature Review

The role of data analytics at the senior management level.

From small and medium-sized businesses to Fortune 500 conglomerates, the success of a modern business is now increasingly tied to how the company implements its data infrastructure and data-based decision-making. According

The Decision-Making Model Explained (In Plain Terms)

Any form of the systematic decision-making process is better enhanced with data. But making sense of big data or even small data analysis when venturing into a decision-making process might

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Wrapping up.

Writing data analysis in the dissertation involves dedication, and its implementations demand sound knowledge and proper planning. Choosing your topic, gathering relevant data, analyzing it, presenting your data and findings correctly, discussing the results, connecting with the literature and conclusions are milestones in it. Among these checkpoints, the Data analysis stage is most important and requires a lot of keenness.

As an IT Engineer, who is passionate about learning and sharing. I have worked and learned quite a bit from Data Engineers, Data Analysts, Business Analysts, and Key Decision Makers almost for the past 5 years. Interested in learning more about Data Science and How to leverage it for better decision-making in my business and hopefully help you do the same in yours.

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The Beginner's Guide to Statistical Analysis | 5 Steps & Examples

Statistical analysis means investigating trends, patterns, and relationships using quantitative data . It is an important research tool used by scientists, governments, businesses, and other organizations.

To draw valid conclusions, statistical analysis requires careful planning from the very start of the research process . You need to specify your hypotheses and make decisions about your research design, sample size, and sampling procedure.

After collecting data from your sample, you can organize and summarize the data using descriptive statistics . Then, you can use inferential statistics to formally test hypotheses and make estimates about the population. Finally, you can interpret and generalize your findings.

This article is a practical introduction to statistical analysis for students and researchers. We’ll walk you through the steps using two research examples. The first investigates a potential cause-and-effect relationship, while the second investigates a potential correlation between variables.

Table of contents

Step 1: write your hypotheses and plan your research design, step 2: collect data from a sample, step 3: summarize your data with descriptive statistics, step 4: test hypotheses or make estimates with inferential statistics, step 5: interpret your results, other interesting articles.

To collect valid data for statistical analysis, you first need to specify your hypotheses and plan out your research design.

Writing statistical hypotheses

The goal of research is often to investigate a relationship between variables within a population . You start with a prediction, and use statistical analysis to test that prediction.

A statistical hypothesis is a formal way of writing a prediction about a population. Every research prediction is rephrased into null and alternative hypotheses that can be tested using sample data.

While the null hypothesis always predicts no effect or no relationship between variables, the alternative hypothesis states your research prediction of an effect or relationship.

• Null hypothesis: A 5-minute meditation exercise will have no effect on math test scores in teenagers.
• Alternative hypothesis: A 5-minute meditation exercise will improve math test scores in teenagers.
• Null hypothesis: Parental income and GPA have no relationship with each other in college students.
• Alternative hypothesis: Parental income and GPA are positively correlated in college students.

Planning your research design

A research design is your overall strategy for data collection and analysis. It determines the statistical tests you can use to test your hypothesis later on.

First, decide whether your research will use a descriptive, correlational, or experimental design. Experiments directly influence variables, whereas descriptive and correlational studies only measure variables.

• In an experimental design , you can assess a cause-and-effect relationship (e.g., the effect of meditation on test scores) using statistical tests of comparison or regression.
• In a correlational design , you can explore relationships between variables (e.g., parental income and GPA) without any assumption of causality using correlation coefficients and significance tests.
• In a descriptive design , you can study the characteristics of a population or phenomenon (e.g., the prevalence of anxiety in U.S. college students) using statistical tests to draw inferences from sample data.

Your research design also concerns whether you’ll compare participants at the group level or individual level, or both.

• In a between-subjects design , you compare the group-level outcomes of participants who have been exposed to different treatments (e.g., those who performed a meditation exercise vs those who didn’t).
• In a within-subjects design , you compare repeated measures from participants who have participated in all treatments of a study (e.g., scores from before and after performing a meditation exercise).
• In a mixed (factorial) design , one variable is altered between subjects and another is altered within subjects (e.g., pretest and posttest scores from participants who either did or didn’t do a meditation exercise).
• Experimental
• Correlational

First, you’ll take baseline test scores from participants. Then, your participants will undergo a 5-minute meditation exercise. Finally, you’ll record participants’ scores from a second math test.

In this experiment, the independent variable is the 5-minute meditation exercise, and the dependent variable is the math test score from before and after the intervention. Example: Correlational research design In a correlational study, you test whether there is a relationship between parental income and GPA in graduating college students. To collect your data, you will ask participants to fill in a survey and self-report their parents’ incomes and their own GPA.

Measuring variables

When planning a research design, you should operationalize your variables and decide exactly how you will measure them.

For statistical analysis, it’s important to consider the level of measurement of your variables, which tells you what kind of data they contain:

• Categorical data represents groupings. These may be nominal (e.g., gender) or ordinal (e.g. level of language ability).
• Quantitative data represents amounts. These may be on an interval scale (e.g. test score) or a ratio scale (e.g. age).

Many variables can be measured at different levels of precision. For example, age data can be quantitative (8 years old) or categorical (young). If a variable is coded numerically (e.g., level of agreement from 1–5), it doesn’t automatically mean that it’s quantitative instead of categorical.

Identifying the measurement level is important for choosing appropriate statistics and hypothesis tests. For example, you can calculate a mean score with quantitative data, but not with categorical data.

In a research study, along with measures of your variables of interest, you’ll often collect data on relevant participant characteristics.

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In most cases, it’s too difficult or expensive to collect data from every member of the population you’re interested in studying. Instead, you’ll collect data from a sample.

Statistical analysis allows you to apply your findings beyond your own sample as long as you use appropriate sampling procedures . You should aim for a sample that is representative of the population.

Sampling for statistical analysis

There are two main approaches to selecting a sample.

• Probability sampling: every member of the population has a chance of being selected for the study through random selection.
• Non-probability sampling: some members of the population are more likely than others to be selected for the study because of criteria such as convenience or voluntary self-selection.

In theory, for highly generalizable findings, you should use a probability sampling method. Random selection reduces several types of research bias , like sampling bias , and ensures that data from your sample is actually typical of the population. Parametric tests can be used to make strong statistical inferences when data are collected using probability sampling.

But in practice, it’s rarely possible to gather the ideal sample. While non-probability samples are more likely to at risk for biases like self-selection bias , they are much easier to recruit and collect data from. Non-parametric tests are more appropriate for non-probability samples, but they result in weaker inferences about the population.

If you want to use parametric tests for non-probability samples, you have to make the case that:

• your sample is representative of the population you’re generalizing your findings to.
• your sample lacks systematic bias.

Keep in mind that external validity means that you can only generalize your conclusions to others who share the characteristics of your sample. For instance, results from Western, Educated, Industrialized, Rich and Democratic samples (e.g., college students in the US) aren’t automatically applicable to all non-WEIRD populations.

If you apply parametric tests to data from non-probability samples, be sure to elaborate on the limitations of how far your results can be generalized in your discussion section .

Create an appropriate sampling procedure

Based on the resources available for your research, decide on how you’ll recruit participants.

• Will you have resources to advertise your study widely, including outside of your university setting?
• Will you have the means to recruit a diverse sample that represents a broad population?
• Do you have time to contact and follow up with members of hard-to-reach groups?

Your participants are self-selected by their schools. Although you’re using a non-probability sample, you aim for a diverse and representative sample. Example: Sampling (correlational study) Your main population of interest is male college students in the US. Using social media advertising, you recruit senior-year male college students from a smaller subpopulation: seven universities in the Boston area.

Calculate sufficient sample size

Before recruiting participants, decide on your sample size either by looking at other studies in your field or using statistics. A sample that’s too small may be unrepresentative of the sample, while a sample that’s too large will be more costly than necessary.

There are many sample size calculators online. Different formulas are used depending on whether you have subgroups or how rigorous your study should be (e.g., in clinical research). As a rule of thumb, a minimum of 30 units or more per subgroup is necessary.

To use these calculators, you have to understand and input these key components:

• Significance level (alpha): the risk of rejecting a true null hypothesis that you are willing to take, usually set at 5%.
• Statistical power : the probability of your study detecting an effect of a certain size if there is one, usually 80% or higher.
• Expected effect size : a standardized indication of how large the expected result of your study will be, usually based on other similar studies.
• Population standard deviation: an estimate of the population parameter based on a previous study or a pilot study of your own.

Once you’ve collected all of your data, you can inspect them and calculate descriptive statistics that summarize them.

Inspect your data

There are various ways to inspect your data, including the following:

• Organizing data from each variable in frequency distribution tables .
• Displaying data from a key variable in a bar chart to view the distribution of responses.
• Visualizing the relationship between two variables using a scatter plot .

By visualizing your data in tables and graphs, you can assess whether your data follow a skewed or normal distribution and whether there are any outliers or missing data.

A normal distribution means that your data are symmetrically distributed around a center where most values lie, with the values tapering off at the tail ends.

In contrast, a skewed distribution is asymmetric and has more values on one end than the other. The shape of the distribution is important to keep in mind because only some descriptive statistics should be used with skewed distributions.

Extreme outliers can also produce misleading statistics, so you may need a systematic approach to dealing with these values.

Calculate measures of central tendency

Measures of central tendency describe where most of the values in a data set lie. Three main measures of central tendency are often reported:

• Mode : the most popular response or value in the data set.
• Median : the value in the exact middle of the data set when ordered from low to high.
• Mean : the sum of all values divided by the number of values.

However, depending on the shape of the distribution and level of measurement, only one or two of these measures may be appropriate. For example, many demographic characteristics can only be described using the mode or proportions, while a variable like reaction time may not have a mode at all.

Calculate measures of variability

Measures of variability tell you how spread out the values in a data set are. Four main measures of variability are often reported:

• Range : the highest value minus the lowest value of the data set.
• Interquartile range : the range of the middle half of the data set.
• Standard deviation : the average distance between each value in your data set and the mean.
• Variance : the square of the standard deviation.

Once again, the shape of the distribution and level of measurement should guide your choice of variability statistics. The interquartile range is the best measure for skewed distributions, while standard deviation and variance provide the best information for normal distributions.

Using your table, you should check whether the units of the descriptive statistics are comparable for pretest and posttest scores. For example, are the variance levels similar across the groups? Are there any extreme values? If there are, you may need to identify and remove extreme outliers in your data set or transform your data before performing a statistical test.

From this table, we can see that the mean score increased after the meditation exercise, and the variances of the two scores are comparable. Next, we can perform a statistical test to find out if this improvement in test scores is statistically significant in the population. Example: Descriptive statistics (correlational study) After collecting data from 653 students, you tabulate descriptive statistics for annual parental income and GPA.

It’s important to check whether you have a broad range of data points. If you don’t, your data may be skewed towards some groups more than others (e.g., high academic achievers), and only limited inferences can be made about a relationship.

A number that describes a sample is called a statistic , while a number describing a population is called a parameter . Using inferential statistics , you can make conclusions about population parameters based on sample statistics.

Researchers often use two main methods (simultaneously) to make inferences in statistics.

• Estimation: calculating population parameters based on sample statistics.
• Hypothesis testing: a formal process for testing research predictions about the population using samples.

You can make two types of estimates of population parameters from sample statistics:

• A point estimate : a value that represents your best guess of the exact parameter.
• An interval estimate : a range of values that represent your best guess of where the parameter lies.

If your aim is to infer and report population characteristics from sample data, it’s best to use both point and interval estimates in your paper.

You can consider a sample statistic a point estimate for the population parameter when you have a representative sample (e.g., in a wide public opinion poll, the proportion of a sample that supports the current government is taken as the population proportion of government supporters).

There’s always error involved in estimation, so you should also provide a confidence interval as an interval estimate to show the variability around a point estimate.

A confidence interval uses the standard error and the z score from the standard normal distribution to convey where you’d generally expect to find the population parameter most of the time.

Hypothesis testing

Using data from a sample, you can test hypotheses about relationships between variables in the population. Hypothesis testing starts with the assumption that the null hypothesis is true in the population, and you use statistical tests to assess whether the null hypothesis can be rejected or not.

Statistical tests determine where your sample data would lie on an expected distribution of sample data if the null hypothesis were true. These tests give two main outputs:

• A test statistic tells you how much your data differs from the null hypothesis of the test.
• A p value tells you the likelihood of obtaining your results if the null hypothesis is actually true in the population.

Statistical tests come in three main varieties:

• Comparison tests assess group differences in outcomes.
• Regression tests assess cause-and-effect relationships between variables.
• Correlation tests assess relationships between variables without assuming causation.

Your choice of statistical test depends on your research questions, research design, sampling method, and data characteristics.

Parametric tests

Parametric tests make powerful inferences about the population based on sample data. But to use them, some assumptions must be met, and only some types of variables can be used. If your data violate these assumptions, you can perform appropriate data transformations or use alternative non-parametric tests instead.

A regression models the extent to which changes in a predictor variable results in changes in outcome variable(s).

• A simple linear regression includes one predictor variable and one outcome variable.
• A multiple linear regression includes two or more predictor variables and one outcome variable.

Comparison tests usually compare the means of groups. These may be the means of different groups within a sample (e.g., a treatment and control group), the means of one sample group taken at different times (e.g., pretest and posttest scores), or a sample mean and a population mean.

• A t test is for exactly 1 or 2 groups when the sample is small (30 or less).
• A z test is for exactly 1 or 2 groups when the sample is large.
• An ANOVA is for 3 or more groups.

The z and t tests have subtypes based on the number and types of samples and the hypotheses:

• If you have only one sample that you want to compare to a population mean, use a one-sample test .
• If you have paired measurements (within-subjects design), use a dependent (paired) samples test .
• If you have completely separate measurements from two unmatched groups (between-subjects design), use an independent (unpaired) samples test .
• If you expect a difference between groups in a specific direction, use a one-tailed test .
• If you don’t have any expectations for the direction of a difference between groups, use a two-tailed test .

The only parametric correlation test is Pearson’s r . The correlation coefficient ( r ) tells you the strength of a linear relationship between two quantitative variables.

However, to test whether the correlation in the sample is strong enough to be important in the population, you also need to perform a significance test of the correlation coefficient, usually a t test, to obtain a p value. This test uses your sample size to calculate how much the correlation coefficient differs from zero in the population.

You use a dependent-samples, one-tailed t test to assess whether the meditation exercise significantly improved math test scores. The test gives you:

• a t value (test statistic) of 3.00
• a p value of 0.0028

Although Pearson’s r is a test statistic, it doesn’t tell you anything about how significant the correlation is in the population. You also need to test whether this sample correlation coefficient is large enough to demonstrate a correlation in the population.

A t test can also determine how significantly a correlation coefficient differs from zero based on sample size. Since you expect a positive correlation between parental income and GPA, you use a one-sample, one-tailed t test. The t test gives you:

• a t value of 3.08
• a p value of 0.001

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The final step of statistical analysis is interpreting your results.

Statistical significance

In hypothesis testing, statistical significance is the main criterion for forming conclusions. You compare your p value to a set significance level (usually 0.05) to decide whether your results are statistically significant or non-significant.

Statistically significant results are considered unlikely to have arisen solely due to chance. There is only a very low chance of such a result occurring if the null hypothesis is true in the population.

This means that you believe the meditation intervention, rather than random factors, directly caused the increase in test scores. Example: Interpret your results (correlational study) You compare your p value of 0.001 to your significance threshold of 0.05. With a p value under this threshold, you can reject the null hypothesis. This indicates a statistically significant correlation between parental income and GPA in male college students.

Note that correlation doesn’t always mean causation, because there are often many underlying factors contributing to a complex variable like GPA. Even if one variable is related to another, this may be because of a third variable influencing both of them, or indirect links between the two variables.

Effect size

A statistically significant result doesn’t necessarily mean that there are important real life applications or clinical outcomes for a finding.

In contrast, the effect size indicates the practical significance of your results. It’s important to report effect sizes along with your inferential statistics for a complete picture of your results. You should also report interval estimates of effect sizes if you’re writing an APA style paper .

With a Cohen’s d of 0.72, there’s medium to high practical significance to your finding that the meditation exercise improved test scores. Example: Effect size (correlational study) To determine the effect size of the correlation coefficient, you compare your Pearson’s r value to Cohen’s effect size criteria.

Decision errors

Type I and Type II errors are mistakes made in research conclusions. A Type I error means rejecting the null hypothesis when it’s actually true, while a Type II error means failing to reject the null hypothesis when it’s false.

You can aim to minimize the risk of these errors by selecting an optimal significance level and ensuring high power . However, there’s a trade-off between the two errors, so a fine balance is necessary.

Frequentist versus Bayesian statistics

Traditionally, frequentist statistics emphasizes null hypothesis significance testing and always starts with the assumption of a true null hypothesis.

However, Bayesian statistics has grown in popularity as an alternative approach in the last few decades. In this approach, you use previous research to continually update your hypotheses based on your expectations and observations.

Bayes factor compares the relative strength of evidence for the null versus the alternative hypothesis rather than making a conclusion about rejecting the null hypothesis or not.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Student’s  t -distribution
• Normal distribution
• Null and Alternative Hypotheses
• Chi square tests
• Confidence interval

Methodology

• Cluster sampling
• Stratified sampling
• Data cleansing
• Reproducibility vs Replicability
• Peer review
• Likert scale

Research bias

• Implicit bias
• Framing effect
• Cognitive bias
• Placebo effect
• Hawthorne effect
• Hostile attribution bias
• Affect heuristic

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Writing the Data Analysis Chapter(s): Results and Evidence

Posted by Rene Tetzner | Oct 19, 2023 | PhD Success | 0 |

4.4 Writing the Data Analysis Chapter(s): Results and Evidence

Unlike the introduction, literature review and methodology chapter(s), your results chapter(s) will need to be written for the first time as you draft your thesis even if you submitted a proposal, though this part of your thesis will certainly build upon the preceding chapters. You should have carefully recorded and collected the data (test results, participant responses, computer print outs, observations, transcriptions, notes of various kinds etc.) from your research as you conducted it, so now is the time to review, organise and analyse the data. If your study is quantitative in nature, make sure that you know what all the numbers mean and that you consider them in direct relation to the topic, problem or phenomenon you are investigating, and especially in relation to your research questions and hypotheses. You may find that you require the services of a statistician to help make sense of the data, in which case, obtaining that help sooner rather than later is advisable, because you need to understand your results thoroughly before you can write about them. If, on the other hand, your study is qualitative, you will need to read through the data you have collected several times to become familiar with them both as a whole and in detail so that you can establish important themes, patterns and categories. Remember that ‘qualitative analysis is a creative process and requires thoughtful judgments about what is significant and meaningful in the data’ (Roberts, 2010, p.174; see also Miles & Huberman, 1994) – judgements that often need to be made before the findings can be effectively analysed and presented. If you are combining methodologies in your research, you will also need to consider relationships between the results obtained from the different methods, integrating all the data you have obtained and discovering how the results of one approach support or correlate with the results of another. Ideally, you will have taken careful notes recording your initial thoughts and analyses about the sources you consulted and the results and evidence provided by particular methods and instruments as you put them into practice (as suggested in Sections 2.1.2 and 2.1.4), as these will prove helpful while you consider how best to present your results in your thesis.

Although the ways in which to present and organise the results of doctoral research differ markedly depending on the nature of the study and its findings, as on author and committee preferences and university and department guidelines, there are several basic principles that apply to virtually all theses. First and foremost is the need to present the results of your research both clearly and concisely, and in as objective and factual a manner as possible. There will be time and space to elaborate and interpret your results and speculate on their significance and implications in the final discussion chapter(s) of your thesis, but, generally speaking, such reflection on the meaning of the results should be entirely separate from the factual report of your research findings. There are exceptions, of course, and some candidates, supervisors and departments may prefer the factual presentation and interpretive discussion of results to be blended, just as some thesis topics may demand such treatment, but this is rare and best avoided unless there are persuasive reasons to avoid separating the facts from your thoughts about them. If you do find that you need to blend facts and interpretation in reporting your results, make sure that your language leaves no doubt about the line between the two: words such as ‘seems,’ ‘appears,’ ‘may,’ ‘might,’ probably’ and the like will effectively distinguish analytical speculation from more factual reporting (see also Section 4.5).

You need not dedicate much space in this part of the thesis to the methods you used to arrive at your results because these have already been described in your methodology chapter(s), but they can certainly be revisited briefly to clarify or lend structure to your report. Results are most often presented in a straightforward narrative form which is often supplemented by tables and perhaps by figures such as graphs, charts and maps. An effective approach is to decide immediately which information would be best included in tables and figures, and then to prepare those tables and figures before you begin writing the text for the chapter (see Section 4.4.1 on designing effective tables and figures). Arranging your data into the visually immediate formats provided by tables and figures can, for one, produce interesting surprises by enabling you to see trends and details that you may not have noticed previously, and writing the report of your results will prove easier when you have the tables and figures to work with just as your readers ultimately will. In addition, while the text of the results chapter(s) should certainly highlight the most notable data included in tables and figures, it is essential not to repeat information unnecessarily, so writing with the tables and figures already constructed will help you keep repetition to a minimum. Finally, writing about the tables and figures you create will help you test their clarity and effectiveness for your readers, and you can make any necessary adjustments to the tables and figures as you work. Be sure to refer to each table and figure by number in your text and to make it absolutely clear what you want your readers to see or understand in the table or figure (e.g., ‘see Table 1 for the scores’ and ‘Figure 2 shows this relationship’).

Beyond combining textual narration with the data presented in tables and figures, you will need to organise your report of the results in a manner best suited to the material. You may choose to arrange the presentation of your results chronologically or in a hierarchical order that represents their importance; you might subdivide your results into sections (or separate chapters if there is a great deal of information to accommodate) focussing on the findings of different kinds of methodology (quantitative versus qualitative, for instance) or of different tests, trials, surveys, reviews, case studies and so on; or you may want to create sections (or chapters) focussing on specific themes, patterns or categories or on your research questions and/or hypotheses. The last approach allows you to cluster results that relate to a particular question or hypothesis into a single section and can be particularly useful because it provides cohesion for the thesis as a whole and forces you to focus closely on the issues central to the topic, problem or phenomenon you are investigating. You will, for instance, be able to refer back to the questions and hypotheses presented in your introduction (see Section 3.1), to answer the questions and confirm or dismiss the hypotheses and to anticipate in relation to those questions and hypotheses the discussion and interpretation of your findings that will appear in the next part of the thesis (see Section 4.5). Less effective is an approach that organises the presentation of results according to the items of a survey or questionnaire, because these lend the structure of the instrument used to the results instead of connecting those results directly to the aims, themes and argument of your thesis, but such an organisation can certainly be an important early step in your analysis of the findings and might even be valid for the final thesis if, for instance, your work focuses on developing the instrument involved.

The results generated by doctoral research are unique, and this book cannot hope to outline all the possible approaches for presenting the data and analyses that constitute research results, but it is essential that you devote considerable thought and special care to the way in which you structure the report of your results (Section 6.1 on headings may prove helpful). Whatever structure you choose should accurately reflect the nature of your results and highlight their most important and interesting trends, and it should also effectively allow you (in the next part of the thesis) to discuss and speculate upon your findings in ways that will test the premises of your study, work well in the overall argument of your thesis and lead to significant implications for your research. Regardless of how you organise the main body of your results chapter(s), however, you should include a final paragraph (or more than one paragraph if necessary) that briefly summarises and explains the key results and also guides the reader on to the discussion and interpretation of those results in the following chapter(s).

Why PhD Success?

To Graduate Successfully

This article is part of a book called "PhD Success" which focuses on the writing process of a phd thesis, with its aim being to provide sound practices and principles for reporting and formatting in text the methods, results and discussion of even the most innovative and unique research in ways that are clear, correct, professional and persuasive.

The assumption of the book is that the doctoral candidate reading it is both eager to write and more than capable of doing so, but nonetheless requires information and guidance on exactly what he or she should be writing and how best to approach the task. The basic components of a doctoral thesis are outlined and described, as are the elements of complete and accurate scholarly references, and detailed descriptions of writing practices are clarified through the use of numerous examples.

The basic components of a doctoral thesis are outlined and described, as are the elements of complete and accurate scholarly references, and detailed descriptions of writing practices are clarified through the use of numerous examples. PhD Success provides guidance for students familiar with English and the procedures of English universities, but it also acknowledges that many theses in the English language are now written by candidates whose first language is not English, so it carefully explains the scholarly styles, conventions and standards expected of a successful doctoral thesis in the English language.

Individual chapters of this book address reflective and critical writing early in the thesis process; working successfully with thesis supervisors and benefiting from commentary and criticism; drafting and revising effective thesis chapters and developing an academic or scientific argument; writing and formatting a thesis in clear and correct scholarly English; citing, quoting and documenting sources thoroughly and accurately; and preparing for and excelling in thesis meetings and examinations. 

Completing a doctoral thesis successfully requires long and penetrating thought, intellectual rigour and creativity, original research and sound methods (whether established or innovative), precision in recording detail and a wide-ranging thoroughness, as much perseverance and mental toughness as insight and brilliance, and, no matter how many helpful writing guides are consulted, a great deal of hard work over a significant period of time. Writing a thesis can be an enjoyable as well as a challenging experience, however, and even if it is not always so, the personal and professional rewards of achieving such an enormous goal are considerable, as all doctoral candidates no doubt realise, and will last a great deal longer than any problems that may be encountered during the process.

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Rene Tetzner's blog posts dedicated to academic writing. Although the focus is on How To Write a Doctoral Thesis, many other important aspects of research-based writing, editing and publishing are addressed in helpful detail.

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18.3 Writing a Strong Thesis Statement That Makes an Interpretive Argument

In organizing your Literary Interpretation Essay, you need to develop a unique, focused topic and a thesis statement that makes an interpretive argument. When coming up with your thesis statement about a literary work, you want your argument to be relevant, focused, and unique. A strong thesis statement avoids the obvious. In other words, you won’t try to argue a conclusion that most readers could reach on their own from a general knowledge of the work. In choosing your topic, you want your essay to be about something that matters —to you, to the human condition. This may involve larger issues that relate to social class, family dynamics, gender, race, economics, education, religion, psychology, politics, law, history, and so on.

A strong literary thesis statement should be

Example : “While most people reading Hamlet think he is the tragic hero , Ophelia is the real hero of the play as demonstrated through her critique of Elsinore’s court through the language of flowers.”

This thesis takes a position. There are those who could argue against this idea.

Example : Through his portrayal of contrasting river and shore scenes in Huckleberry Finn , Mark Twain suggests that to find the true expression of American ideals, one must leave ‘civilized’ society and go back to nature.

Through this very specific yet concise sentence, readers can anticipate the text to be examined ( Huckleberry Finn ), the author (Mark Twain), the literary device that will be focused upon (description of river and shore scenes) and what these scenes show (true expression of American ideals can be found in nature).

Rooted in observations about how the author used formalist elements in the literary work

Example :  The simplistic symbolism of the letter “A” in Nathaniel Hawthorne’s The Scarlet Letter breaks down as the novel progresses, which illustrates the complexity of Hester and Pearl.

In this thesis statement, the literary device of symbolism provides the focus for the interpretive argument (the complexity of the main character and her daughter).

A literary thesis statement should not be

Overly broad or generalized.

Example : “I am going to be writing about “The Raven” by Edgar Allan Poe.”

While we know what text and author will be the focus of the essay, we know nothing about what aspect of the essay the author will be focusing upon, nor is there an argument here.

More about society than the work of literature

Example : “Gender roles are bad and should be abolished.”

This may be well and true, but this thesis does not appear to be about a work of literature. This could be turned into a thesis statement if the writer is able to show how this is the theme of a literary work (like “Girl” by Jamaica Kincaid) and root that interpretation in observable data from the story in the form of literary devices.

A statement about history rather than about literature

Example : Ophelia in Hamlet represents how women did not have any power back then.

Students sometimes want to try to make an argument about “life back then.” This sets up an impossible dilemma in that we can’t prove a history-based argument using only a literary text. Additionally, this statement does not specify the historical period and location: does “back then” refer to the setting and time period of the play: Denmark at some point in the 14th century? does it refer to Shakespeare’s England under the reign of Elizabeth I when the play was written and first performed? or does it refer to England under the reign of James I when the play was first published? Finally, the beliefs about history are overgeneralized—some women did have some political and economic power in all of these time periods; categories like age, ability, rank, social class, and race come into play as well; and the term “power” is not clearly defined. When you craft your interpretation essay, compose an argument that hinges upon collecting evidence from the literary work, and, if you do make some claims about history, be sure that you have scholarly sources to support them.

A summary or obvious statement about the text

Example : “ Hamlet is about a prince, and his father has died.”

Yes, this is true, but it is not debatable. You would be hard-pressed to find someone who could argue against this statement.

An evaluation, or judgment, about the quality of the work

Example : “‘La Migra’ by Pat Mora is a really powerful poem.”

This may very well be true. But the purpose of a literary critic is not to judge the quality of a literary work, but to make analyses and interpretations of the work based on observable structural aspects of that work.

About the author rather than about literature

Example : “Edgar Allan Poe and Washington Irving were both creepy towards women in their personal lives but in different ways.”

Again, this might be true, and might make an interesting essay topic, but unless it is rooted in textual analysis, it is not within the scope of a literary analysis essay.

Sample Thesis Statements

So what does a strong thesis statement look like? Below, we provide some examples. These sample thesis statements are presented as guides, not as required forms or prescriptions.

As a reminder, literary interpretation is grounded in formalist analysis.  A formalist analysis considers the elements that make up a literary work, such as genre, character, structure, theme, setting, and literary devices. One strategy for composing your thesis statement, then, is to frame it as an analysis of how the author has crafted one or more of the formalist elements of the literary work.

An additional component of literary interpretation can be the application of theoretical lens, such as Postcolonial or Feminist.

Examples of Strong Thesis Statements

In Romeo and Juliet , Shakespeare’s famous play about star-crossed lovers, Rosaline is a catalyst. Though she never appears onstage, Rosaline’s disinterest in passion and romantic love drives Romeo’s affair with Juliet.

In late 2021, Amazon Prime released an adaptation of Cinderella  starring Camila Cabello as a would-be fashion designer who makes “Dresses by Ella.” Josefina Lopez’s play  Real Women Have Curves , which proceeds the Amazon movie by decades, could also be defined as a Latina Cinderella story in terms of the characters (Estela and Ana, in particular), the premise of the plot, the setting of the sewing factory and the work and discussions centered on the dresses, and the theme of dreams.

Samuel Beckett’s Endgame reflects characteristics of Theatre of the Absurd to comment on society’s dissatisfaction with modernity.

Kate Chopin’s short story “The Story of an Hour” employs the “unity of effect” that Poe outlines in his essay “Philosophy of Composition,” wherein he sets forth guidelines for writing short fiction.

August Wilson’s Fences uses the dramatic conventions of dialogue and monologue to portray generational perspectives when it comes to Troy’s and Cory’s ideas about race and social mobility.

There is a division between the women characters in Real Women Have Curves when it comes to career, education, sex, and self-image: Ana defines herself as a feminist, college student, and aspiring writer. Estela is an aspiring businesswoman. The older women define themselves as wives and mothers. In Lopez’s play, the common challenges that unite these women come from men: abusive partners, threatening ICE agents, and exploitative employers. It is significant to the feminist message of the play that these characters are only discussed by the women; they never appear onstage.

The Process of Discovery Includes Asking Questions

A challenging aspect of composing a thesis statement is that you’re asked to write it before you know what you think, while you’re still in the process of discovery. One strategy, then, can be to write your potential interpretive argument not as a declarative statement but as a list of observations and any questions that are prompted by those observations. For example:

Examples of Observations and Questions

OBSERVATIONS : The play Real Women Have Curves pays attention to women’s bodies—from the title on the cover page to the end tableau on the stage. At several points in the play, the women suggest their awareness of the potential for their bodies to be exploited, used, and unappreciated—by men, by the dress company owners, and even by themselves.  When the machines break down, and they do so frequently, the women rely upon their bodies to get the work done instead.

QUESTION : What is this play saying about women’s bodies, power, and control?

OBSERVATIONS : Although they are all members of the same family, Carmen, Ana, and Estela have varied experiences with to immigration when it comes to: their journeys from Mexico (keeping in mind that the play suggests they did not make the journey together), their experiences getting their green cards (or not), their feelings about themselves, their feelings toward others, their level of internalized fear of la migra  / fear of being deported, their progress toward their dreams, and their comfort level with movement at all (e.g. going away to college, leaving the sewing factory).

QUESTIONS : What arguments can be made about how their experiences with immigration compare and contrast? Does the playwright craft the play this way in order to have multiple messages when it comes to immigration? Do their experiences depend upon their age? their birth order?

OBSERVATIONS : Food is ever-present in  Real Women Have Curves —homemade foods are brought to work; McDonald’s, Burger King, and other fast foods are mentioned; characters run to the bakery or the lunch truck to buy food for themselves and others.

QUESTIONS : Is food even more present in the play than the fear of being taken by ICE agents? Does food come into the scenes as the ultimate comfort food when the women fear for their safety? Is food there in times of celebration and happiness as well? Are there multiple functions of food in  Real Women Have Curves , and, if so, what are they?

Committing to a Thesis Statement: Say Yes to the Speed-Dating Exercise

This exercise can be productive at any point of the writing process, but it is particularly productive in the early stages of writing, when you are trying to figure out your argument. Here’s how it works. Your instructor sets up the classroom so that desks are facing each other in pairs. The students in one row will remain stationary; the students in the other row will move.

The speed dating exercise happens rapidly. You will have one minute to explain your thesis to the person sitting across from you. Then you will have one minute to listen to the person across from you explain their thesis. After that, you will move on to the next person and start all over again.

At first you may have difficulty nailing down your argument in 60 seconds. You may do too much throat clearing or providing of irrelevant information. You may want to talk about your frustrations or hesitancies rather than your argument. But eventually, you should have stated your thesis so many times that you have achieved greater conciseness and clarity. At this point, grab a piece of paper and write down your thesis so that you can transpose it into your paper.

This technique can also work for counterarguments, concluding thoughts, or points in your paper that are giving you particular trouble.

Continue Reading: 18.4 Outlining Your Main Points

Composition for Commodores Copyright © 2024 by Mollie Chambers; Karin Hooks; Donna Hunt; Kim Karshner; Josh Kesterson; Geoff Polk; Amy Scott-Douglass; Justin Sevenker; Jewon Woo; and other LCCC Faculty is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Analytical Essay Thesis

Analytical essay thesis statement generator.

Analytical essays delve deep into the intricacies of a subject, offering insightful interpretations and evaluations. At the heart of these essays lies the analytical thesis statement – a crucial element that encapsulates the analytical perspective you’ll explore. This guide explores a range of analytical thesis statement examples, guiding you through the process of creating thought-provoking statements. Learn to dissect complex subjects, develop critical arguments, and master the art of crafting compelling analytical thesis statements.

What is an Analytical Thesis Statement? – Definition

An analytical thesis statement is a concise declaration that outlines the main focus of an analytical essay. It presents the central argument or analysis the essay will explore, providing a roadmap for readers to understand the specific perspective, interpretation, or evaluation the writer intends to present. Unlike other types of thesis statements, an analytical thesis statement does not simply present a fact but delves into the “how” and “why” of a subject.

What is an Example of an Analytical Thesis Statement?

Example: “In F. Scott Fitzgerald’s novel ‘The Great Gatsby,’ Jay Gatsby’s excessive pursuit of wealth and social status serves as a commentary on the illusory nature of the American Dream, highlighting the emptiness and moral decay that often accompany unchecked ambition.”

In this analytical thesis statement, the focus is on analyzing the character of Jay Gatsby and his actions as a reflection of larger themes within the novel. The strong thesis statement goes beyond a surface-level observation and delves into the deeper analysis of Gatsby’s character and its symbolic significance in relation to the American Dream.

100 Analytical Thesis Statement Examples

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• “In Shakespeare’s ‘Hamlet,’ the protagonist’s internal conflict reflects the complex interplay between duty, morality, and personal desires.”
• “Through symbolic imagery and character development, ‘The Scarlet Letter’ by Nathaniel Hawthorne explores the destructive power of guilt on individuals and society.”
• “Analyzing the juxtaposition of innocence and corruption in ‘To Kill a Mockingbird,’ Harper Lee critiques the pervasive societal biases that perpetuate injustice.”
• “The film ‘Eternal Sunshine of the Spotless Mind’ employs nonlinear narrative structure to delve into the complexities of memory, love, and human connection.”
• “Through the lens of Marxist theory, George Orwell’s ‘1984’ unveils a dystopian world that critiques totalitarianism and the manipulation of truth.”
• “In Emily Dickinson’s poetry, the recurring theme of death serves as a means of contemplating the transient nature of life and the human condition.”
• “Analyzing Frida Kahlo’s self-portraits reveals her use of visual symbolism to convey her physical and emotional pain as well as her feminist ideals.”
• “Through intricate narrative structure and character development, ‘One Hundred Years of Solitude’ by Gabriel García Márquez explores the cyclical nature of history and human experience.”
• “The painting ‘Starry Night’ by Vincent van Gogh conveys the artist’s emotional turmoil and inner conflict through its vivid color palette and swirling forms.”
• “Through the analysis of ‘The Catcher in the Rye,’ J.D. Salinger portrays the protagonist Holden Caulfield’s alienation as a manifestation of his fear of adulthood and societal conformity.
• “Exploring the use of metaphors and allegory in ‘Animal Farm,’ George Orwell satirizes political ideologies and the corruption of power.”
• “The poem ‘The Road Not Taken’ by Robert Frost delves into the concept of choices and regret, using a diverging path as a metaphor for life’s decisions.”
• “Analyzing the historical context and literary techniques in ‘The Grapes of Wrath,’ John Steinbeck critiques the exploitation of the working class during the Great Depression.”
• “In Mary Shelley’s ‘Frankenstein,’ the creature’s isolation and rejection serve as a commentary on the consequences of unchecked scientific ambition.”
• “Through visual elements and composition, Leonardo da Vinci’s ‘Mona Lisa’ conveys a sense of mystery and psychological depth, captivating viewers for centuries.”
• “Analyzing the use of irony and social commentary in Jonathan Swift’s ‘A Modest Proposal,’ one can understand his satirical critique of British colonialism.”
• “The play ‘Death of a Salesman’ by Arthur Miller explores the disillusionment of the American Dream through the tragic downfall of the protagonist Willy Loman.”
• “Through the lens of feminist theory, Charlotte Perkins Gilman’s ‘The Yellow Wallpaper’ critiques the societal constraints placed on women’s mental and emotional well-being.”
• “Analyzing the motifs of light and darkness in Joseph Conrad’s ‘Heart of Darkness,’ one can interpret them as representations of morality and the human psyche.”
• “Edgar Allan Poe’s ‘The Tell-Tale Heart’ uses unreliable narration and symbolism to delve into the narrator’s descent into madness and guilt.”
• “In the film ‘Citizen Kane,’ Orson Welles employs non-linear storytelling and deep focus cinematography to explore the enigmatic life of the titular character.”
• “Analyzing the use of repetition and imagery in Langston Hughes’ ‘Dream Deferred,’ one can interpret the poem as a commentary on the consequences of unfulfilled dreams.”
• “Through allegorical elements and character interactions, William Golding’s ‘Lord of the Flies’ examines the inherent capacity for savagery within human nature.”
• “The painting ‘Guernica’ by Pablo Picasso serves as a powerful anti-war statement, depicting the horrors of conflict and the suffering of innocent civilians.”
• “Analyzing the themes of identity and societal conformity in Jhumpa Lahiri’s ‘The Namesake,’ one can uncover the struggles faced by immigrant families in adapting to new cultures.”
• “In ‘The Picture of Dorian Gray’ by Oscar Wilde, the portrait serves as a symbol of the protagonist’s moral decay and the consequences of pursuing eternal youth.”
• “Analyzing the use of color symbolism in F. Scott Fitzgerald’s ‘The Great Gatsby,’ one can interpret colors as reflections of characters’ personalities and societal decadence.”
• “Through the examination of allegorical elements in George Orwell’s ‘Animal Farm,’ one can uncover the representation of historical events and political ideologies.”
• “In ‘Brave New World’ by Aldous Huxley, the dystopian society’s use of technology and conditioning raises questions about the cost of sacrificing individuality for stability.”
• “Analyzing the character of Lady Macbeth in Shakespeare’s ‘Macbeth,’ one can discern her ambition-driven transformation and the psychological toll of her actions.
• “In ‘Pride and Prejudice’ by Jane Austen, the social commentary and character interactions illuminate the societal norms and expectations of the Regency era.”
• “Analyzing the use of religious symbolism in Herman Melville’s ‘Moby-Dick,’ one can interpret the white whale as a representation of the unattainable and the divine.”
• “The film ‘The Shawshank Redemption’ explores themes of hope and redemption through the friendship between two inmates, offering a commentary on the human spirit.”
• “Analyzing the motif of the American Dream in ‘The Great Gatsby,’ F. Scott Fitzgerald critiques the pursuit of materialism and the illusion of social mobility.”
• “In ‘Othello’ by William Shakespeare, the tragic downfall of the titular character is driven by jealousy and manipulation, revealing the destructive power of unchecked emotions.”
• “Analyzing the use of symbolism in T.S. Eliot’s poem ‘The Waste Land,’ one can interpret various images and references as reflections of societal decay and spiritual desolation.”
• “The painting ‘American Gothic’ by Grant Wood conveys a complex narrative through the stern expressions and juxtaposition of the farmer and his daughter.”
• “Analyzing the character development in Jane Eyre’s journey, Charlotte Brontë examines themes of independence, feminism, and self-discovery.”
• “In ‘The Metamorphosis’ by Franz Kafka, the protagonist’s transformation into a giant insect serves as a metaphor for alienation and the absurdity of modern life.”
• “Analyzing the use of foreshadowing and symbolism in William Faulkner’s ‘A Rose for Emily,’ one can interpret the decayed mansion as a representation of the past and its lingering impact.”
• “Through allegorical elements in ‘The Alchemist’ by Paulo Coelho, one can uncover themes of personal legend and the transformative power of following one’s dreams.”
• “Analyzing the narrative structure in Gabriel García Márquez’s ‘Chronicle of a Death Foretold,’ one can discern the multi-perspective exploration of truth and collective guilt.”
• “The sculpture ‘The Thinker’ by Auguste Rodin captures the contemplative nature of human thought and the complexity of philosophical introspection.”
• “Analyzing the use of irony and satire in Voltaire’s ‘Candide,’ one can interpret the protagonist’s misadventures as a commentary on the irrationality of human behavior.”
• “Through the exploration of nature and human experience in Ralph Waldo Emerson’s essays, transcendentalism emerges as a celebration of individual intuition and connection.”
• “Analyzing the use of narrative structure in Vladimir Nabokov’s ‘Lolita,’ one can discern the unreliable narration that challenges readers’ perceptions of truth and morality.”
• “In ‘The Awakening’ by Kate Chopin, the protagonist’s journey towards self-discovery and liberation reflects the constraints placed on women in the 19th-century society.”
• “Analyzing the use of dramatic monologue in Robert Browning’s ‘My Last Duchess,’ one can uncover the psychological complexity and possessive nature of the speaker.”
• “Through allegorical elements and philosophical themes in Albert Camus’ ‘The Stranger,’ the protagonist’s indifference to societal norms questions the absurdity of existence.”
• “Analyzing the use of myth and symbolism in Toni Morrison’s ‘Beloved,’ one can interpret the haunting presence of the titular character as a representation of historical trauma.”
• “In ‘Crime and Punishment’ by Fyodor Dostoevsky, the psychological turmoil of the protagonist Raskolnikov reflects the tension between morality and rationality.”
• “Analyzing the narrative techniques in Salman Rushdie’s ‘Midnight’s Children,’ one can discern the blending of history and magical realism to explore India’s postcolonial identity.”
• “Through the examination of imagery and metaphor in Sylvia Plath’s poetry, themes of mental illness, identity, and gender roles come to the forefront.”
• “Analyzing the use of symbolism in E.M. Forster’s ‘A Passage to India,’ one can interpret the Marabar Caves as a metaphor for the complexity of cultural misunderstandings.”
• “The short story ‘The Lottery’ by Shirley Jackson employs irony and social commentary to critique blind adherence to tradition and the potential for collective cruelty.”
• “Analyzing the use of allegory in John Bunyan’s ‘The Pilgrim’s Progress,’ one can interpret the protagonist’s journey as a representation of spiritual enlightenment and salvation.”
• “In ‘Their Eyes Were Watching God’ by Zora Neale Hurston, the protagonist Janie’s journey towards self-discovery reflects her search for autonomy and empowerment.”
• “Analyzing the use of literary devices in Gabriel García Márquez’s ‘Love in the Time of Cholera,’ one can uncover the exploration of enduring love and the passage of time.”
• “Through allegorical elements in Franz Kafka’s ‘The Trial,’ one can interpret the absurdity of the bureaucratic legal system as a commentary on the human struggle for control.”
• “Analyzing the use of dramatic irony in Shakespeare’s ‘Romeo and Juliet,’ one can discern the tragic irony that underscores the lovers’ fate and the societal feud.”
• “In ‘The Road’ by Cormac McCarthy, the post-apocalyptic landscape serves as a metaphor for the fragility of human existence and the pursuit of hope.”
• “Analyzing the themes of colonization and cultural clash in Chinua Achebe’s ‘Things Fall Apart,’ one can interpret the protagonist Okonkwo’s downfall as a representation of societal upheaval.”
• “Through allegorical elements in Jack London’s ‘To Build a Fire,’ the protagonist’s struggle against nature serves as a reflection of human hubris and vulnerability.”
• “In ‘Invisible Man’ by Ralph Ellison, the protagonist’s invisibility becomes a metaphor for social marginalization and the dehumanizing effects of racial prejudice.”
• “Analyzing the use of motifs and symbolism in Kate Chopin’s ‘The Story of an Hour,’ one can interpret the protagonist’s liberation as a commentary on societal expectations.”
• “Through allegorical elements in Franz Kafka’s ‘Metamorphosis,’ one can interpret the protagonist’s transformation as a representation of alienation and the absurdity of modern life.”
• “In ‘Gulliver’s Travels’ by Jonathan Swift, the protagonist’s encounters with different societies serve as satirical commentaries on various aspects of human behavior.”
• “Analyzing the use of symbolism in William Faulkner’s ‘As I Lay Dying,’ one can interpret the journey to bury Addie Bundren’s body as a representation of family dynamics and individual motivations.”
• “Through allegorical elements in Herman Melville’s ‘Bartleby, the Scrivener,’ one can interpret the enigmatic character Bartleby as a representation of passive resistance and societal alienation.”
• “In ‘The Handmaid’s Tale’ by Margaret Atwood, the dystopian society serves as a critique of patriarchal control and the erosion of women’s rights.”
• “Analyzing the use of foreshadowing and symbolism in Shirley Jackson’s ‘The Haunting of Hill House,’ one can interpret the house itself as a representation of psychological trauma.”
• “Through allegorical elements in Albert Camus’ ‘The Plague,’ one can interpret the outbreak of plague as a metaphor for the absurdity of human existence and the inevitability of suffering.”
• “In ‘The Sun Also Rises’ by Ernest Hemingway, the Lost Generation’s disillusionment serves as a commentary on the aftermath of World War I.”
• “Analyzing the use of metaphors and allegory in John Milton’s ‘Paradise Lost,’ one can interpret Satan’s rebellion as a representation of the dangers of pride and ambition.”
• “Through allegorical elements in H.G. Wells’ ‘The Time Machine,’ one can interpret the protagonist’s journey to the distant future as a commentary on societal evolution and the consequences of unchecked progress.”
• “In ‘Wuthering Heights’ by Emily Brontë, the tumultuous relationship between Heathcliff and Catherine serves as a metaphor for the destructive power of passionate obsession.”
• “Analyzing the use of irony and satire in Mark Twain’s ‘The Adventures of Huckleberry Finn,’ one can interpret the river as a symbol of freedom and a commentary on the racial tensions of the time.”
• “Through allegorical elements in John Steinbeck’s ‘Of Mice and Men,’ one can interpret the dream of owning a piece of land as a representation of companionship and the American Dream.”
• “In ‘The Kite Runner’ by Khaled Hosseini, the protagonist’s journey towards redemption serves as a commentary on guilt, betrayal, and the complexities of friendship.”
• “Analyzing the use of symbolism in Aldous Huxley’s ‘Brave New World,’ one can interpret the conditioning and drug-induced happiness as a representation of societal control and the loss of individuality.”
• “Through allegorical elements in William Golding’s ‘Lord of the Flies,’ the descent into savagery among the stranded boys serves as a commentary on the inherent darkness within humanity.”
• “In Gabriel García Márquez’s ‘Love in the Time of Cholera,’ the protagonist’s enduring love and pursuit of lost opportunities serve as a reflection of the passage of time and the complexities of relationships.”
• “Analyzing the use of narrative structure in Leo Tolstoy’s ‘Anna Karenina,’ one can discern the parallel narratives of different characters as a commentary on societal norms and the consequences of personal choices.”
• “Through allegorical elements in Franz Kafka’s ‘The Castle,’ one can interpret the protagonist’s futile attempts to reach the inaccessible castle as a representation of the human struggle for meaning and belonging.”
• “In George Orwell’s ‘Down and Out in Paris and London,’ the protagonist’s experiences of poverty and social alienation serve as a commentary on the disparities within society.”
• “Analyzing the use of symbolism in E.E. Cummings’ poetry, one can interpret his innovative typography and language as a representation of individualism and breaking away from convention.”
• “Through allegorical elements in Jean-Paul Sartre’s play ‘No Exit,’ the characters’ confinement in a room becomes a metaphor for existential anguish and the consequences of human choices.”
• “In William Shakespeare’s ‘Julius Caesar,’ the manipulation of public opinion serves as a commentary on the dynamics of power, loyalty, and the consequences of political ambition.

Analytical Essay Thesis Statement Example for High School

An analytical essay’s thesis statement for high school  sets the stage for the examination of a topic, delving into its complexities and drawing insights based on evidence.

• In Shakespeare’s “Romeo and Juliet,” the theme of fate challenges the power of free will as seen through the tragic end of the young lovers.
• The portrayal of friendship in “The Outsiders” demonstrates the significance of social class divides in the 1960s.
• Through symbolism and imagery, Emily Dickinson’s poems convey profound themes about life, death, and eternity.
• Atticus Finch’s moral integrity in “To Kill a Mockingbird” stands as a beacon of hope in a racially divided society.
• “Lord of the Flies” uses the island as a microcosm to examine the inherent evil in human nature.
• George Orwell’s “1984” delves deep into the dangers of totalitarian governments and the loss of individuality.
• The character development of Elizabeth Bennet in “Pride and Prejudice” sheds light on the societal constraints of women during the Regency era.
• “The Catcher in the Rye” critiques the phoniness of adulthood while highlighting the vulnerability of adolescence.
• The journey of Bilbo Baggins in “The Hobbit” is a testament to personal growth and the discovery of inner courage.
• In “Fahrenheit 451,” Bradbury warns about the consequences of censorship and the loss of intellectual freedom.

Analytical Essay Thesis Statement Example for Middle School

Middle school thesis statements for analytical essays examine topics in a straightforward manner, building critical thinking skills.

• “Bridge to Terabithia” shows that friendship can help overcome personal challenges and grief.
• The challenges faced by Percy Jackson highlight the complexities of growing up with a unique identity.
• Matilda uses her intellect and supernatural powers to combat negativity and find her place in the world.
• “The Giver” reveals the dangers of a seemingly perfect society devoid of memories and emotions.
• Through “The Lion, the Witch, and the Wardrobe,” the Pevensie siblings learn about bravery, sacrifice, and loyalty.
• In “Holes,” the interwoven stories demonstrate the impact of family legacies and the power of redemption.
• “Charlotte’s Web” uses the farm setting to explore themes of friendship, sacrifice, and the cycle of life.
• “Diary of a Wimpy Kid” humorously addresses the challenges and intricacies of middle school life.
• Through “Harry Potter and the Sorcerer’s Stone,” Rowling discusses the importance of choices in shaping one’s destiny.
• “A Wrinkle in Time” showcases the battle between good and evil, emphasizing the power of love.

Analytical Essay Thesis Statement Example for College

College-level thesis statements delve deeper into complex topics, offering nuanced insights and arguments.

• “Moby Dick” serves as a profound exploration of obsession, illustrating its destructive consequences and moral ambiguities.
• In “The Great Gatsby,” Fitzgerald critiques the American Dream, revealing its inherent flaws and the disillusionment of the Jazz Age.
• “One Hundred Years of Solitude” portrays the cyclical nature of history through the Buendía family’s experiences.
• Virginia Woolf’s “To the Lighthouse” delves into the human consciousness, capturing fleeting emotions and moments.
• In “Brave New World,” Huxley showcases the dehumanizing effects of technological advancements and societal uniformity.
• “Heart of Darkness” explores the impact of colonialism, presenting a dark reflection on human nature and moral corruption.
• Toni Morrison’s “Beloved” addresses the haunting legacy of slavery and its lasting psychological effects.
• Through “The Handmaid’s Tale,” Atwood critiques patriarchal societies, illustrating the dangers of religious extremism and loss of female agency.
• “Crime and Punishment” offers a deep psychological analysis of guilt and redemption through Raskolnikov’s actions and motivations.
• Franz Kafka’s “The Metamorphosis” provides an existential view of alienation and identity crisis in the modern world.

Analytical Essay Thesis Statement Example for Beginners

Beginner-level thesis statements offer clear and simple insights, setting the foundation for deeper analytical thinking.

• “The Little Prince” teaches readers about the importance of relationships and seeing with the heart.
• “Charlotte’s Web” illustrates the value of friendship and the inevitability of life’s cycles.
• “The Very Hungry Caterpillar” uses vibrant illustrations to show the process of metamorphosis in nature.
• In “Where the Wild Things Are,” Max learns about emotions and the comfort of home.
• “The Rainbow Fish” highlights the joy of sharing and the essence of true beauty.
• “Green Eggs and Ham” humorously emphasizes the idea of trying new things and overcoming initial hesitations.
• Through “The Cat in the Hat,” Dr. Seuss illustrates the fun and chaos that arise from breaking rules.
• “Goodnight Moon” uses repetitive structure and rhymes to convey the calming ritual of bedtime.
• “Brown Bear, Brown Bear, What Do You See?” introduces young readers to colors and animals through patterned text.
• “Corduroy” portrays the desire for belonging and the importance of friendship and acceptance.

How do you start an analytical thesis?

Starting an analytical thesis requires a clear understanding of the topic, a comprehensive evaluation of the relevant materials, and identifying the primary elements to be analyzed.

• Select a Topic: The first step in starting an analytical thesis is to select a specific topic or aspect you want to explore in-depth.
• Research the Topic: Before drafting your thesis, it’s important to delve into your topic. Familiarize yourself with the primary sources, secondary analyses, and any related discussions.
• Identify a Focus: Determine the specific aspect of the topic you want to analyze. This could be a character in a novel, a historical event’s cause and effect, or a particular trend in science.
• Ask Analytical Questions: Pose questions that will guide your analysis. For example, “What is the significance of this character’s actions?” or “How does this event influence the larger narrative?”

What makes a good analytical thesis?

A good analytical thesis possesses several characteristics:

• Clear and Concise: A thesis should clearly convey your main argument without being overly wordy.
• Specific: It should narrow down your topic to a specific aspect or element that can be thoroughly explored in your essay.
• Arguable: A good thesis presents an argument or an interpretation that could be challenged by others.
• Evidence-Based: It should be based on evidence from the source material.
• Relevant: The thesis should be pertinent to the assignment or topic at hand.
• Original: Your thesis should offer a fresh perspective or insight, rather than simply stating the obvious.

How do you write a thesis statement for an analytical essay? – Step by Step Guide

• Read Your Source Material: Engage with your primary source, noting key elements, themes, or patterns that emerge.
• Identify Your Main Argument: What primary message or insight do you wish to convey about your topic?
• Gather Supporting Evidence: List down the pieces of evidence from the source that support your main argument.
• Formulate a Working Thesis: Draft a tentative thesis statement that encapsulates your main argument and supporting evidence.
• Refine and Narrow: Make sure your thesis is specific and focuses on a particular aspect of your topic.
• Ensure It’s Debatable: Your thesis should present a perspective or interpretation that can be debated.
• Seek Feedback: Discuss your thesis with peers, instructors, or mentors to get feedback and further refine it.
• Finalize the Statement: Once refined, finalize your thesis statement, ensuring it accurately represents your analytical insights.

Tips for Writing an Analytical Thesis Statement Example

• Start Broad, then Narrow Down: Begin with a broad perspective on your topic and then hone in on the specific area you want to analyze.
• Avoid Subjectivity: While an analytical thesis represents your interpretation, it should be based on evidence and not personal biases.
• Stay Active: Use active voice for a more assertive and clear thesis.
• Revisit and Revise: As you write your essay, you might find more insights that can refine your thesis. Be open to revisiting and tweaking your statement.
• Avoid Vague Language: Words like “might,” “could,” or “possibly” can weaken your thesis. Be assertive in your statement.
• Test Your Thesis: A good practice is to try to counter-argue your thesis. If you can find valid counter-arguments, it might be too weak or broad.
• Keep it Focused: Your thesis should only cover what you will discuss in your essay, not introduce new topics.
• Practice Makes Perfect: Write multiple versions of your thesis before settling on the final one. This practice will help you refine your analytical skills over time.

An analytical essay thesis statement is the cornerstone of any analytical essay, offering a concise insight into the writer’s analysis. Crafting it requires a clear understanding of the topic, supporting evidence, and a focused approach. By adopting best practices and refining one’s skills, a writer can effectively convey their analytical insights, enhancing the overall impact of their essay.

Text prompt

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Write an Analytical Essay Thesis Statement on the symbolism in

Create an Analytical Essay Thesis Statement analyzing the effects of global warming.

In a literary analysis essay, what is included in a counterargument? A. a thesis statement and reasons B. a restatement of the essay's central claim C. a differing interpretation of the text D. a set of direct quotes from the text

C. a differing interpretation of the text

Explanation:

Its correct because in a counterargument, the counterclaim is a statement addressing an opposing opinion.

Also, I did the quiz and got it right.

Related Questions

A ______________ is a piece of informational text that tells about a specific portion of someone's life

It could be multiple things, but here are my guesses

The Article states: His efforts finally paid off in 1975, when California passed the landmark Agricultural Labor Relations Act. It allowed farmworkers to form unions and negotiate for higher pay and better working conditions. In this passage, the word landmark means __________. a hard battle for control of something B a short and simple rule book for students C a very important event or achievement D a vague draft or sketch of an idea

C). A very important event or achievement.

In the context of the given article, the word ' landmark' denotes 'a notable event or discovery with a historical significance .' Here the author conveys the importance of the act passed in 1975 in the favor of farmworkers as it allowed them to set up unions in order to put forward their demands of a better pay and enhanced working conditions. Thus, the author uses the word 'landmark' to display its historical importance and hence, option C is the correct answer.

Charles by Shirley Jackson. -I will give 50 points!!

Can someone help me with number 2, 3 and 4 ? I’m confusing with earn, spend and save.

hope this helps :)

What does this quote means???? "Where you're from isn't as bad as people don't make the scene " ASAP!!! I need to know what’s this quote mean??????????

Answer: Well it means where YOUR"RE from isn't just about as terrible as individuals THAT don't cause the situation I hope that helps a bit

I WILL GIVE BRAINLESS IF YOU ARE CORRECT Read this excerpt from the poem "The Missing Books": Detective, sidekick, both confused, Sandra, for the stakeout, used Clear powder to cover the box, While Dennis hid, eyes like a hawk's. When Sandra left, he heard a squeak, The bang of books. He dared to peek. The thief, as clever as a fox, Crept out the door with the full box. Dennis yelled loudly like a train, The thief's face showed a sudden strain He ran. He tripped. Then, he saw Sandra light up his guilty claws. Read this excerpt from the story The Mystery of the Missing Library Books: Eventually, Sandra left, Victor turned off the lights, and the library grew silent. Suddenly, I heard sneakers squeaking across the floor. A figure in a black hoodie lifted books from the new releases section and dropped them into the plastic box. Finally, the figure picked up the box and walked to the door. I stepped out from the shadows of the bookshelves and yelled, "Stop, thief!" The mysterious figure dropped the box of books and ran through the door but came to an abrupt stop when Sandra stepped out from behind a post. She shone black light on the thief's hands, revealing the marks of the invisible powder. What is a similarity in how the authors use point of view in both texts? (2 points) a Both points of view show that Dennis heard a squeaking sound. b Both points of view show that Dennis said the words, "Stop, thief!" c Both points of view show that the thief dropped the box of books. d Both points of view show that the thief ran away and tripped.

Both points of view show that Dennis heard a squeaking sound.

characters. Ad d. 0 3. Which of the elements of drama are common to prose?​

Character,setting,plot,Point of view

Which statement best describes the tone of the poems? Both poems are sorrowful, mourning lost loves. Both poems are complimentary, paying tribute to loved ones. Both poems are nostalgic, remembering better times. Both poems are introspective, thinking about serious situations.

Answer: Both poems are complimentary, paying tribute to loved ones.

Explanation: Hope this helps. The other acc got deleted for posting links that are unhelpful

It is clear from the tone that both poems are complimentary, paying tribute to loved ones.(Option B). (

A tone is an attitude that the writer uses in the text to communicate to the audience.

The tone of an author is seen or exhibited in the words and details that they use to communicate .

For example, journals, research publications, and textbooks are usually written with an objective tone or formal tone. While reflective essays usually have an informal tone to them.

Learn more about Tones at:

brainly.com/question/12176973

Put yourself in the mindset of a teacher. Why do you think inferencing is difficult for students?

When an author uses actions thoughts and speech to show who a character is the author is using?

Indirect characterization is the author uses actions, thoughts, and speech, to show the reader who character is. For example: Tracy had said quietly, "you'll change, whether you think you will or not

Candy is not only bad for student's general health, it is also bad for their teeth. I just think that not allowing any candy at school is too extreme candy can be a positive motivator to many students. Not something thi “auses more pests and vermin to inve a school building. I think that students should be allowed to eat candy in school as much as he wants. Other teachers like to have candy treats as incentives and rewards for students. Some teachers are opposed to having candy in the classroom because it is a distraction. There are many other incentives and rewards teachers can offer students besides candy. Why do so many teacher be saying that eating candy in school is a problem? Needs Revision Correct

because it's awful for students health and teeth as the passage states. teachers could hand there students other things like, pencil erasers or things that benefit your school experience rather than something that rotts the bones in your mouth

3. Which sentence from the selection best conveys the author's main message? A. But as mentally prepared as we were, we also had to be physically aware, as well. (paragraph 6) B. Every night aboard our safe and warm ship, we thought about what it takes to survive in Antarctica, an incredibly harsh place. (paragraph 19) c. Over the course of our visit, we came to respect and even revere the power of that sea. (paragraph 20) D. Both experiences were unforgettable, and one would not have been possible without the other. (paragraph 21)

every night aboard our safe and warm ship , we thought about what it takes to survive Antarctica, an incredible harsh place.

Q1_Write a letter to your friend in another school telling him/her at least three reasons why you like your school​

Dear Bestie, I love my school because of you. If I hadent met you then I wouldn't like it, but since you are here with me I love school. You have turned all my tears of sadness into tears of joy. If it weren't for you I wouldnt be here. Thank you Bestie

You're bestie.

Please give me the correct answer.Only answer if you're very good at English.Please don't put a link to a website. Click on the question mark. Then choose the statement that BEST describes how line length affects "Ode to Yeast". Line Length : The expanding line length suggest the rapid growth of the active yeast, the expanding line lengths suggest the lifeless nature of dried grains of yeast, the expanding line lengths suggest a long, slow process of yeast growing, or the expanding line lengths add little meaning to the poem ​

The expanding line length suggest the rapid growth of the active yeast,

When this type of ultra-massive star runs out of fuel, it goes through an initial WHOOOOOSH! of collapse. However, because its enormous mass generates such tremendous gravitation, there's no CRASH! of a rebound or BOOM! that blasts gases out into a supernova. Instead, the matter just keeps on whooshing inward, directly forming a black hole. —A Black Hole Is NOT a Hole, Carolyn Cinami DeCristofano Choose the signal words that point to a cause in the passage. You will check more than one correct answer. however instead when because through

D). Because

'Signal words' are described as the words offering hints or cues to the readers regarding the upcoming event/incidence. It helps them in understanding the text more effectively by showing the cause-effect or compare-contrast relationship.

In the given excerpt, the words ' when ' and ' because ' that position a cause or a reason leading to a specific effect . By using 'when' the author asserts the cause('ultra-massive star runs out of fuel') leading to the 'initial collapse' and through 'because'("its enormous mass generates such tremendous gravitation"), the outcome of 'no crash' takes place. Thus, options C and D are the correct answers.

got it right .

Will give Brainlyist Compare and contrast how the characters or settings are developed in Antigone and "The Game" and how they create meaning in each play. Use specific textual evidence from both plays to support your answer.

umm there is nothing here

His fingers were stiff, and it took him a long time to twist the lid off the holy water. Drops of water fell on the red blanket and soaked into dark icy spots. He sprinkled the grave and the water disappeared almost before it touched the dim, cold sand; it reminded him of something—he tried to remember what it was, because he thought if he could remember he might understand this. He sprinkled more water; he shook the container until it was empty, and the water fell through the light from sundown like August rain that fell while the sun was still shining, almost evaporating before it touched the wilted squash flowers. Which statement best describes the significance of the holy water in this excerpt? The priest hopes that the holy water will provide the Pueblo people with the water they need. The Pueblo people embrace Christianity as the holy water is sprinkled on Teofilo’s grave. The holy water becomes a symbol of Pueblo traditions and loses its significance as a Christian symbol. The holy water is important to both the priest and Leon, but it is important for different reasons.

The best description of the significance of holy water here is that The holy water is important to both the priest and Leon, but it is important for different reasons.

Why was the holy water significant?

The book, "The Man to Send Rain Clouds" compares the traditions of the Pueblo people to that of Christianity.

In this except, the holy water is shown to be important to the Priest because it is blessed by God but to Leon, it is important because it was a gift for the spirit of the dead old man.

In conclusion, option D is correct.

Find out more on The Man to Send Rain Clouds at brainly.com/question/9822308.

Which of the following would be a good hook for a personal essay?

They all seem interesting which will make the reader want to know what will happen.

Have a nice day :D

D. All of the above

There's nothing wrong with any of them

Which would be the BEST source for locating specific information about the central nervous system? A) biology textbook B) human anatomy textbook C) Physicians' Desk Reference of Common Medications D) the book, The Body's Supercomputer: the Central Nervous System

D. The Body's Supercomputer: the Central Nervous System

Help me please and thank you

Answer:whats on the bring down menus?

Review the infographic below, then answer the question According to the infographic, which of the following is true about the color orange? It represents enthusiasm. It represents heat. It represents optimism. It is a primary color. It represents creativity.

Which language device is used in the following excerpt? Father has no grown-up son,/ Mulan has no elder brother. Question 5 options: A. Hyperbole B. Simile C. Alliteration D. Parallelism Which language device is used in the following excerpt? They ask Daughter who’s in her heart,/ They ask Daughter who’s on her mind. Question 6 options: A. Anaphora B. Epistrophe C. Understatement D. Allusion What is one example of a Chinese tradition/culture/practices in Passage 1? Question 7 options: A. Men being drafted in wars B. Prizes being given to reward hard work C. Using yellow flower powder D. All of the above The following bolded statement is an example of which language device? A year has passed, the Orchids have bloomed—the smell of Mulan is in the air. Five years have passed, the Orchids have bloomed—the smell of Mulan is in the air. Question 8 options: A. Anaphora B. Epistrophe C. Symbolism D. Hyperbole

5.the answer is hyperbole

Many shops are opened here. ( Active voice)

What is the question I don't understand ....

Question 2 What would Lionel MOST LIKELY do at school the next day? A). Ask his friends what they think of the new boy. B). Ignore the new boy. C). Start a conversation with the new boy. D). Observe the new boy more closely.

Because he said it would mean alot to him if someone talked to him if he was at the same position the new kid is in

Which statement best describes the author’s point of view about loud street musicians?

Can you send the pic of the passage that this question is related to ?

The author keeps the same point of view throughout the passage.

I got it right.

what is a Narrator is a narrator ​

a person who narrates something, especially a character who reconnect the event of of a novel or narrative poem

motive for immigration. for essay​

An immigrant is a person from one country who moves to another country permanently for a better life. There are many different reasons why people have their country to go to another country. Actually, I'm not an immigrant. However, according to my own experience, some people move to another country to find jobs, but some move to another country to look forward to their better education. Now, I know but many people from Micronesian are getting married in the United State, and they become immigrants to the United States.

Being an immigrant to the United States is not easy. What I mean is the way of life is not easy for some people, because everything is about money. We have to pay for everything. But in our island of Chuuk, nothing is difficult. Only we have the right to do whatever we want to d. But in the US there are many things we must go through if we want something, and we also spend a lot of money for many reasons: rent, water,food. Everything always costs money.

There are many sacrifices people face while they are immigrants. They work long hourse for more money, but they don't have enough time with their family. Some people work 24 hours in order to have enough money for their rent and bills. Some people even get sick because of working hard during the day and night. But, they dont chose to quit their jobs, because they must work hard to get money for their needs and wants.

In conclusion, being and immigran is not an easy way to live well and have a betterlife. For immigrants it is not easy to adopt the culture and the  way that people behave.

Hope it helps..

Have a great day : )

help me plz help meeeeeeeeeee :c​

(27) c (28) a (29) c (30) c

inorder to answer questions in a passage you must first read the passage here we go. number 25 we're told that MR Hero wakes up at 5 in the passage.number 26 in the passage they're mister heru reads the newspaper on Sunday another 27 and we are directly told from the passage that Mr hero does not teach on weekends that is Saturday and Sunday 28 Mr hero gets up at 5 every morning that's the first sentence in the paragraph 29 the word which can replace usually is ordinarily 30 d is wrong because we are told that Mr Heru gets up at 5 yet it's saying is that Mr heru gets up at 7. hope this helps.

what's 3 reasons william shakespeare could write good stories

1. He thought outside of the box. 2. He knew what to write. 3. He never gave up.

Explanation: Please give me brainliest.

The school had hired a speaker to motivate high school students to work hard in class. The speaker ended his presentation with this statement “Most of the students who are accepted at good universities and get high paying jobs take pride in their work, and get tutoring from the Joe Wood Tutoring Center.” What do you think the speaker’s main purpose might be? a. to get students to pay for tutoring b. to give students new ideas c. to reflect on his own success d. to make money as a speaker

Kia rauka I te tūranga memeitaki no te iti tangata ānuanua o te Kuki Airani = Towards attaining holistic wellbeing for the Rainbow community of the Cook Islands : a thesis presented in partial fulfilment of the requirements for the degree of Master in International Development, Massey University, New Zealand

Open Access Location

Journal title, journal issn, volume title, description, collections.