research findings chapter 5

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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Improved Surface Drainage of Pavements: Final Report (1998)

Chapter: chapter 5 summary, findings, and recommendations.

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

CHAPIER 5 SI~MARY, FINDINGS, AND RECOMMENDATIONS SUGARY The primary objective of this research was to identify unproved methods for draining rainwater from the surface of multi-lane pavements and to develop guidelines for their use. The guidelines, along with details on the rationale for their development, are presented in a separate document' "Proposed Design Guidelines for Improving Pavement Surface Drainage" (2J. The guidelines support an interactive computer program, PAVDRN, that can be used by practicing engineers In the process of designing new pavements or rehabilitating old pavements' is outlined In figure 39. The intended audience for the guidelines is practicing highway design engineers that work for transportation agencies or consulting firms. Improved pavement surface drainage is needed for two reasons: (~) to minimize splash and spray and (2) to control the tendency for hydroplaning. Both issues are primary safety concerns. At the request of the advisory panel for the project, the main focus of this study was on ~mprov~g surface drainage to mammae the tendency for hydroplaning. In terms of reducing the tendency for hydroplaTuT g, the needed level of drainage is defined in terms of the thickness of the film of water on the pavement. Therefore, the guidelines were developed within the context of reducing the thickness of the water film on pavement surfaces to the extent that hydroplaning is unlikely at highway design speeds. Since hydroplaning is ~7

DESIGN CRITERIA Pavement Geometry Number of lanes Section type - Tangent - Horizontal curve - Transition - Vertical crest curve - Vertical sag curve Enviromnental oramaters Rainfall intensity ~ Temperature Pavement Tvpe Dense-graded asphalt Porous asphalt Portland cement concrete ~ Grooved Portland cement concrete Desion Soeed Allowable speed for onset of hydroplaning Recommend Desion Changes Alter geometry Alter pavement surface Add appurtenances Groove (Portland cement concrete) CALCULATIONS Lenoth of flow path Calculate on basis of pavement geometry IT Hydraulic Analvses .  No? Water film thickness Equation No. 10 Equation No.'s. 16-19 1 Hvdroolanino Analvsis Hydroplaning speed Equation No.'s 21-24 Rainfall Intensity Equation No. 25 -A I / Meet Design ~ \ Cntena? / \<es? Accent Desinn | Figure 39. Flow diagram representing PAVI)RN design process In "Proposed Guidelines for Improving Pavement Surface DrmT~age" (2). 118

controlled primarily by the thickness of the water film on the pavement surface, the design guidelines focus on the prediction and control of ache depth of water flowing across the pavement surface as a result of rainfall, often referred to as sheet flow. Water film thickness on highway pavements can be controlled In three fundamental ways, by: I. Minimizing the length of the longest flow path of the water over We pavement and thereby the distance over which the flow can develop; 2. Increasing the texture of the pavement surface; and 3. Removing water from the pavement's surface. In the process of using PAVDRN to implement the design guidelines, the designer is guided to (~) minimize the longest drainage path length of the section under design by altering the pavement geometry and (2) reduce the resultant water film thickness that will develop along that drainage path length by increasing the mean texture depth, choosing a surface that maximizes texture, or using permeable pavements, grooving, and appurtenances to remove water from the surface. Through the course of a typical design project, four key areas need to be considered in order to analyze and eventually reduce the potential for hydroplaning. These areas are: ~9

I. Environmental conditions: 2. Geometry of the roadway surface; 3. Pavement surface (texture) properties; and 4. Appurtenances. Each of these areas and their influence on the resulting hydroplaning speed of the designed section are discussed In detail In the guidelines (21. The environmental conditions considered are rainfall ~ntensibr and water temperature, which determines the kinematic viscosity of the water. The designer has no real control over these environmental factors but needs to select appropriate values when analyzing the effect of flow over the pavement surface and hydroplaning potential. Five section types, one for each of the basic geometric configurations used In highway design, are examined. These section are: 1. TaIlgent; 2. Superelevated curve; 3. Transition; 4. Vertical crest curve; and 5. Vertical sag curve. 120

Pavement properties that affect the water fihn thickness mclude surface characteristics, such as mean texture depth and grooving of Portland cement concrete surfaces, are considered In the process of applying PAVDRN. Porous asphalt pavement surfaces can also reduce He water film thickness and thereby contribute to the reduction of hydroplaning tendency and their presence can also be accounted for when using PAVDRN. Finally, PAVDRN also allows the design engineer to consider the effect of drainage appurtenances, such as slotted drain inlets. A complete description of the various elements that are considered In the PAVDRN program is illustrated In figure 40. A more complete description of the design process, the parameters used in the design process, and typical values for the parameters is presented In the "Proposed Design Guidelines for Improving Pavement Surface Drainage" (2) alla in Appendix A. fIN1)INGS The following findings are based on the research accomplished during the project, a survey of the literature, and a state-of-the-art survey of current practice. I. Model. The one~unensional mode} is adequate as a design tool. The simplicity and stability of the one~imensional mode} offsets any increased accuracy afforded by a two-d~mensional model. The one~mensional model as a predictor of water fiDn thickness and How path length was verified by using data from a previous study (11). 121

No. of Planes Length of Plane Grade Step Increment Wdth of Plane Cross Slope Section T,rne 1) Tangent 2) Honzontal Curare 3) Transition 4) Vertical Crest 5) Vertical Sag U=tS 1)U.S. 2) S. I. Rainfall Intenstity ~ , \ |Kinematic Viscosity |Design Speed Note: PC = Point of Curvature PI. = Point of Tangency PCC = Portland cement concrete WAC = Dense graded asphalt concrete 0GAC = 0pcn~raded asphalt concrete where OGAC includes all types of intentally draining asphalt surfaces GPCC = Grooved Ponland cement concrete Taneent Pavement Type Mean Texture Depth 1) PCC 2) DGAC 3) OGAC 4) GPCC Horizontal Cun~c  Grade Cross Slope Radius of Cunran~re Wdth Pavement Type _ 2) DGAC 3) OGAC 4) GPCC Mean Texture Depth Step Increment _ Transition Length of Plane Super Elevation Tangent Cross Slope Tangent Grade width of Curve Transition Width Pavement Type_ 1) PCC 3) OGAC 4) GPCC Mean Texture Depth Step Increment Horizontal Length Cross slope width PC Grade PI' Grade Elevation: Pr-PC Vertical Crest Flow Direction Step Increment Pavement Type 1) PC Side I 2) PI. Side | 1)PCC 2) DGAC 3) OGAC 4) GPCC Mean Tex~rc Depth _ _ ~ Figure 40. Factors considered in PAVDRN program. 122 ~1 r - . , Vertical Sad | Horizontal Length | Cross slope Wldth PC Grade PI Grade Elevation: PIE Flow Direction  Step Increment / Stored :_ ~ cats ~ 1) PC Side | 2) PI Side | . Pavement Typed 1) PCC 3) OGAC 14) GPCC Mean Texture Depth I I

~ Stored data V ~ 3 L IN1T For use with a second nut using data from the first run.) , 1 EPRINT (Echos input to output ) 1 CONVERT (Converts units to and from SI and English.) ~ , ADVP  (Advances Page of output.) KINW (Calculates Minning's n, Water Film Thickness (WEIR), and Hydroplaning Speed UPS).) , EDGE (Determines if flow has reached the edge of the pavement.) out roar Figure 40. Factors considered in PAVDRN program (continued). 123

2. Occurrence of Hydropl~r g. In general, based on the PAVDRN mode! and the assumptions inherent in its development, hydroplaning can be expected at speeds below roadway design speeds if the length of the flow path exceeds two lane widths. 3. Water Film Thickness. Hydroplaning is initiated primarily by the depth of the water film thickness. Therefore, the primary design objective when controlling hydroplaning must be to limit the depth of the water film. 4. Reducing Water Film Thickness. There are no simple means for controlling water John thickness, but a number of methods can effectively reduce water film thickness and consequently hydroplaning potential. These include: Optimizing pavement geometry, especially cross-slope. Providing some means of additional drainage, such as use of grooved surfaces (PCC) or porous mixtures (HMA). Including slotted drains within the roadway. 5. Tests Needed for Design. The design guidelines require an estimate of the surface texture (MTD) and the coefficient of permeability Porous asphalt only). The sand patch is an acceptable test method for measuring surface texture, except for the more open (20-percent air voids) porous asphalt mixes. In these cases, an estimate of the surface texture, based on tabulated data, is sufficient. As an alternative, 124

sand patch measurements can be made on cast replicas of the surface. For the open mixes, the glass beads flow into the voids within the mixture, giving an inaccurate measure of surface texture. Based on the measurements obtained In the laboratory, the coefficient of permeability for the open-graded asphalt concrete does not exhibit a wide range of values, and values of k may be selected for design purposes from tabulated design data (k versus air voids). Given the uncertainty of this property resulting from compaction under traffic and clogging from contaminants and anti-skid material, a direct measurement (e.g., drainage lag permeameter) of k is not warranted. Based on the previous discussion, no new test procedures are needed to adopt the design guidelines developed during this project. 6. Grooving. Grooving of PCC pavements provides a reservoir for surface water and can facilitate the removal of water if the grooves are placed parallel to the flow oath. Parallel orientation is generally not practical because the flow on highway pavements is typically not transverse to the pavement. Thus, the primary contribution offered by grooving is to provide a surface reservoir unless the grooves comlect with drainage at the edge of the pavement. Once the grooves are filled with water, the tops of the grooves are the datum for the Why and do not contribute to the reduction in the hydroplaning potential. 125

7. Porous Pavements. These mixtures can enhance the water removal and Hereby reduce water film tHch~ess. They merit more consideration by highway agencies In the United States, but they are not a panacea for eliminating hydroplaning. As with grooved PCC pavements, the internal voids do not contribute to the reduction of hydroplaning; based on the field tests done In this study. hv~ronImiina can be if, , , ~ expected on these mixtures given sufficient water fiLn thickness. Other than their ability to conduct water through internal flow, the large MTD offered by porous asphalt is the main contribution offered by the mixtures to the reduction of hydroplaning potential. The high-void ~ > 20 percent), modified binder mixes used In Europe merit further evaluation in the United States. They should be used In areas where damage from freezing water and the problems of black ice are not likely. 8. Slotted Drains. These fixtures, when installed between travel lanes, offer perhaps the most effective means of controlling water film thickness from a hydraulics standpoint. They have not been used extensively In the traveled lanes and questions remain unanswered with respect to their installation (especially in rehabilitation situations) and maintenance. The ability to support traffic loads and still maintain surface smoothness has not been demonstrated and they may be susceptible to clogging from roadway debris, ice, or snow. 126

RECOMMENDATIONS AND CONCLUSIONS The following recommendations are offered based on the work accomplished during this project and on the conclusions given previously: I. Implementation. The PAVDRN program and associated guidelines need to be field tested and revised as needed. The program and the guidelines are sufficiently complete so that they can be used in a design office. Some of the parameters and algorithms will I~ely need to be modified as experience is gained with the program. 2. Database of Material Properties. A database of material properties should be gathered to supplement the information contained in PAVDRN. This information should Include typical values for the permeability of porous asphalt and topical values for the surface texture (MTD) for different pavement surfaces to include toned Portland cement concrete surfaces. A series of photographs of typical pavement sections and their associated texture depths should be considered as an addition to the design guide (21. 3. Pavement Geometry. The AASHTO design guidelines (~) should be re-evaluated In terms of current design criteria to determine if they can be modified to enhance drainage without adversely affecting vehicle handling or safety. ~27

4. Use of appurtenances. Slotted drams should be evaluated In the field to determine if they are practical when Installed In the traveled way. Manufacturers should reconsider the design of slotted drains and their Installation recommendations currently In force to maximize them for use In multi-lane pavements and to determine if slotted drains are suitable for installations In the traveled right of way. 5. Porous Asphalt Mixtures. More use should be made of these mixtures, especially the modified high a~r-void mixtures as used In France. Field trials should be conducted to monitor HPS and the long-term effectiveness of these mixtures and to validate the MPS and WDT predicted by PAVDRN. 6. Two-D~mensional Model. Further work should be done with two~mensional models to determine if they improve accuracy of PAVDRN and to determine if they are practical from a computational standpoint. ADDITIONAL STUDIES On the basis of the work done during this study, a number of additional items warrant furler study. These Include: 1. Full-scale skid resistance studies to validate PAVDRN in general and the relationship between water film thickness and hydroplaning potential in particular are needed in light of the unexpectedly low hvdronlanin~ speeds predicted during 128 , . ~. , ~

this study. The effect of water infiltration into pavement cracks and loss of water by splash and spray need to be accounted for In the prediction of water fihn Sickness. Surface Irregularities, especially rutting, need to be considered in the prediction models. 2. Field trials are needed to confirm the effectiveness of alternative asphalt and Portland cement concrete surfaces. These include porous Portland cement concrete surfaces, porous asphalt concrete, and various asphalt m~cro-surfaces. 3. The permeability of porous surface mixtures needs to be confirmed with samples removed from the field, and the practicality of a simplified method for measuring in-situ permeability must be investigated and compared to alternative measurements, such as the outflow meter. 4. For measuring pavement texture, alternatives to the sand patch method should be investigated, especially for use with porous asphalt mixtures. 129

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Chapter 5: Conclusion, Interpretation and Discussion

Introduction.

The following chapter concludes this report. A summary of the research is presented, and findings of the study are discussed and interpreted. The significance of this research in the immediate context of El Gallo and in the field of low-income housing is examined. Recommendations for further research end the chapter.

The scope of the following conclusions is limited to the context and historical characteristics of El Gallo. Thus, applied to other situations, these conclusions may yield incorrect assumptions. Still, these conclusions are relevant to the process of dwelling evolution in progressive development projects.

5.1 Summary of Research

This study observed the process of dwelling evolution in progressive development projects. The literature review was concentrated on the process of progressive development occurring in planned sponsored projects. It was found that, based on observations of the informal settlement process, progressive development under different contextual conditions was not questioned, and its benefits were taken for granted. Studies in the area were reduced to the period of improvement up to the time when the dwelling was physically consolidated. Longer term evaluation of progressive development projects were not found.

Research was undertaken on a 27-year-old progressive development project in Venezuela. The intention was to observe the process of dwelling evolution and the kind of housing that was being produced under progressive urban development projects on a long-term basis. The case study showed dwellings built with different initial levels of user-participation. Dwelling evolution was observed in a survey sample using parameters relevant to the case study (i.e., area increase, dwelling spatial growth and plot occupation, and changes in the functional structure).

Survey dwellings followed identifiable patterns of evolution in size, spatial structure and use-layout. Patterns were affected by aspects of the surrounding context and by aspects inherent to characteristics of the initial dwelling. Consequently, different dwelling groups showed different processes of progressive development.

5.2 Discussion and Interpretation of Findings.

As progressive developments, dwellings at El Gallo were able to adopt new and diverse roles along their whole process of evolution. In this section, relevant issues of the process of dwelling evolution observed at El Gallo are discussed. The first concerns the role of the non-permanent structure in the context of El Gallo as a sponsored progressive development project. The second comments on the process of dwelling evolution that followed the construction of the permanent structure.

In principle, non-permanent structures at El Gallo were similar to ranchos built in informal settlements. Ranchos at El Gallo served as primary shelters while more basic household priorities were met (i.e., services and infrastructure were provided, sources of income were found and generated, and even a favourable social environment was developed among neighbours). However, the majority of tin shacks were neither considerably increased nor upgraded with better materials even when they were used for long periods of time. This fact, together with the sudden change in the pace of development caused by the construction of a very complete permanent dwelling and subsequent removal of the rancho, had no connection with the gradual process of shack replacement observed in invasion settlements of Ciudad Guayana during this study (Portela, M. 1992). Neither did this process have a relationship with the system of "piecemeal construction" described by several housing researchers as characteristic of low-income dwellers.

The shanties were... housing in process of improvement. In particular the piecemeal system of building afforded great advantages to those who, like most of the poor in developing societies, have great variations in income from month to month (Peattie L. 1982:132).

Under El Gallo conditions of land security, ranchos did not show consolidation, and revealed their transient character because they were eventually substituted by permanent structures. The non-permanent structure revealed the primary household's aspiration for a minimum satisfactory habitable area. However, besides basic shelter during the initial stage, ranchos served to the purposes of capital accumulation that eventually allowed households to buy a basic unit according to official standards, or building a bigger, more complete first permanent structure. The size of ranchos reflected households' aspirations for the permanent dwelling, that is,smaller ranchos were substituted by basic units of the housing programs. Instead larger ranchos were substituted by large self-produced dwellings.

It is difficult to ascertain why ranchos were removed when they could have been kept as part of the dwelling, as in fact did a minority of households (2 cases). Is a fact that the temporary materials of ranchos contributed to their deterioration that ended with the total removal of the rancho. However, an idea that may have contributed to the demolition of the rancho was the household's adoption of the planner's belief that ranchos were a bad but necessary step on the way to obtaining permanent housing. Thus, once the permanent dwelling was built, the price households paid to gain credibility (i.e., that this stage was reached) was the demolition of the rancho itself. This interpretation can be specially true for Ciudad Guayana, where dwellings of certain quality such as those of El Gallo were seen as "casas" or houses. Instead, structures of similar quality in the hills of cities such as Caracas were still considered ranchos. In the long run, informal settlements obtained the largest benefits from this process because they gained far more official tolerance and social credibility (i.e., that shacks were actually temporary means of residence towards good-quality housing).

Those who lived in smaller ranchos improved their spatial conditions by moving to the small basic dwellings. Those who occupied bigger ranchos built bigger dwellings by themselves. Still, some households built their dwellings without going through the rancho stage. Self-produced dwellings followed the formal models either to gain the government's credibility of user commitment to build "good" government-like housing, or because households believed so. Imitation of the formal models, however, varied according to the builder's interpretation. For instance, the pattern of the detached dwelling was adopted, but often one of the side yards was reduced to a physical separation between the dwelling and the plot separation wall. More effective interpretations involved enlarging the front porch or using the central circulation axis to allow easy extension in the future.

The building approach of the permanent structure influenced the process of evolution that followed. Basic units built by the housing agencies had a compact, complete layout with higher standards of construction; however, aspects of the design, such as internal dimensions, were inadequate for household criteria, and the layout was not well adapted. Dwellings built according to provided plans and specificationshad similar problems, but households enlarged spaces and modified layouts when they were building the units. The level of construction standards was also reduced since the lateral façades of some dwellings were unfinished. Dwellings built totally by self-help means were the largest permanent structures. Aspects of the design of the first permanent structure allowed easy extension of the dwelling towards open areas of the plot. More user participation was reflected in straight-forward processes of evolution without internal modifications, and fewer stages to reach the current houseform.

5.3 Significance of the Study

While this study acknowledges again the effectiveness of progressive development in the housing system, it shows how dwelling evolution in progressive development projects can have different characteristics produced by internal and external interventions. Usually, projects are designed and launched to reproduce certain desirable outcomes and meet specific expectations. However, conditions prevailing in these projects and sometimes strategies that are introduced to "improve," "speed up" or make more "efficient" the process of evolution can affect the outcome in many different ways. This study showed how contextual characteristics of El Gallo, as well as the design and level of user participation in the initial permanent dwelling, affected successive stages of progressive development. However, it is important to recognize that are other issues beyond the spatial aspects that are intrinsically related with the evolution of the dwellings and that were not included within the scope of these particular research (i.e., household's changes in income, size, and age or gender structure).

The findings at El Gallo add modestly to the body of knowledge of literature on progressive development. Progressive Urban Development Units, UMUPs , have been the main housing strategy in Ciudad Guayana these last years, and they are likely to keep being used. Simple facts such as knowing the characteristics of the additions and modifications that households make to their dwellings over time can be the basis for more assertive actions supporting or enforcing progressive development activities. Understanding the process of dwelling evolution in low-income developments would be an effective way to help the process that, in the case of Ciudad Guayana, zonings and bylaws have been unable to regulate.

5.4 Recommendations for Further Research

Long term assessments are particularly constrained by the availability and reliability of recorded data. The frequency, and often the methodology, in which censuses and surveys are made do not always suit the purposes of this kind of research. Household interviews are very important, but they may become troubled by informant's limited memories and the continuity of the household in the dwelling. Aerial documentation, if available, represents one of the most reliable sources to observe physical change. Nevertheless, a careful and detailed process of observation of aerial data becomes very time consuming. For similar studies, a first phase in which the housing diversity is identified in the aerial data according to the selected criteria, would allow to reduce the number of detailed survey samples needed, thus considerably reducing the time of data collection.

In the context of Ciudad Guayana, further studies of the non-permanent dwelling in recent UMUPs would reveal new insights into the function of these structures in progressive development projects. This would be essential especially if any kind of initial aid is to be provided. On the other hand, following the growth of progressive developments is necessary if services and infrastructure are, as they are now, the responsibility of the local government. Identifying the producers of physical evolution -- i.e., the drivers and catalysts of change -- would be an important step for further research. An interesting step within this trend could be to ascertain the extent in which other household processes -- family growth, income increase and economic stability, household aging, changes in the household composition (single- to multi- family), etc., affect the process of dwelling evolution.

In the context of low-income housing, the process of progressive development needs further understanding. As in Ciudad Guayana, progressive development is likely to be the main housing strategy for other developing countries in the near future. Local authorities would do well to follow the evolution of settlements and to identify real household needs, and the consequences of public and/or private interventions in low-income settlements. Perhaps the most important learning of this study is that the experience of El Gallo acknowledges again the dynamic participation of the low-income households under different conditions, and still leaves wide room for a positive participation for the many other actors in the evolving urban entity.

. Notes for Chapter V

1 Dodge reports that some settlers of Ciudad Guayana kept the rancho and rented it to poorer families (Dodge,C. 1968:220). This attitude has been more common in other progressive development projects. The Dandora site and services also encouraged the construction of temporary shacks while the permanent dwelling was built. However, non-permanent structures remained to be rented or used as storage areas even after the permanent dwelling was built (McCarney, P.L. 1987:90).

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Chapter 5 SUMMARY, CONCLUSIONS AND RECOMMENDATIONS

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Evaluation Basics Guide

At a glance.

This Evaluation Basics guide is helpful when evaluating heart disease and stroke prevention activities. This guide focuses on ensuring evaluation use through evaluation reporting.

Various aspects of evaluation reporting can affect how information is used. Programs should consider stakeholder needs, the evaluation purpose, and the target audience when communicating results. Evaluation reporting should identify what, when, how, and to what extent information should be shared. Evaluation reporting should also consider how information might be received and used.

Learn more about evaluation reporting and how to ensure use of evaluation findings. You can also download the complete guide .

Evaluation reporting: a guide to help ensure use of evaluation findings

Key considerations for effectively reporting evaluation findings.

These steps can help drive your intended users to action or influence someone or something based on the findings presented in your evaluation report.

Engage stakeholders

Stakeholders are people who are invested in the program or potentially affected by the evaluation. Stakeholders can play a key role by offering input throughout the evaluation process to ensure effective and useful reporting of evaluation results.

You can engage stakeholders:

• During the planning phase. Stakeholders can help determine the intended use of the evaluation findings, identify potential primary users of findings, and help develop a reporting and dissemination plan.
• Once data have been collected. Stakeholders can review interim findings, interpret data, help prepare findings, and to help develop potential recommendations.
• When developing the evaluation report. Stakeholders can help define the audience, identify any potential uses of the information, and ensure report findings meet the evaluation purpose.

Revisit the purpose of your evaluation

The purpose determines how the evaluation report and findings are used, who the users are, and the most appropriate type of reporting. There may be multiple purposes for conducting an evaluation.

Two common reasons for evaluating CDC-funded programs are to guide program improvement and to ensure program effectiveness.

• Program improvement. Program staff may want to see a dashboard report of selected indicators and receive regular brief, verbal updates at meetings to learn what midcourse adjustments to make to improve program operations and activities.
• Program effectiveness. A funding entity may ask for a detailed, comprehensive report to demonstrate whether program components contribute to expected outcomes for accountability purposes.

The evaluation's purpose can have a direct effect on how evaluation data are applied and used. Often, the desire is for evaluation recommendations and findings to inform decision making and lead to program improvement. Alternatively, evaluation results may be used to support or justify a preexisting position, resulting in little to no programmatic change.

Define your target audience

Consider and define the target audience of your evaluation report and findings.

• Who are the intended primary users or the specific stakeholders who will most likely use the findings?
• Is the target audience the funding agency of the program, people who are served by the program, or key legislators or decision makers in your local government?

Evaluation findings can be presented differently depending on the target audience and primary evaluation users. Some things to keep in mind about your audience are:

• Effective communication channels. Identify the appropriate, preferred, and commonly used channels of communicating with your audience.
• Desired action. Consider what action you want the audience to take and what is within their sphere of influence. Explore how the target audience makes decisions or decides to take action on the basis of new information.
• Technical expertise or comprehension. Reflect on the level of familiarity the audience has with the subject matter and tailor the level of language to meet their comfort level. Use plain language over more technical language.
• Cultural appropriateness. Ensure that reports are culturally appropriate for the audience.
• Perceptions and expectations. Identify the audience's interest in or expectations of the project. Evaluation results may not always be expected or favorable. Regardless of how the findings are perceived, the opportunity for use remains. Also consider how the audience perceives the evaluator and the evaluation process.
• Presentation of information. Present findings according to the audience's preference. For example, choose between written documentation and oral communication and between presenting anecdotal stories and presenting data.
• Experience and context. Consider how your audience may interpret the findings, based on their understanding and experiences. Provide context where necessary, and keep the methodology description simple.

Making evaluation reports work for you

The format you use to deliver your evaluation findings will affect how and whether the findings are used. Use these tips to help ensure your evaluation findings are used by your stakeholders.

• Use action-oriented reporting . Action-oriented reporting prompts your audience to action. This type of report is focused, simple, and geared toward a particular audience.
• Offer creative options for format of delivery , such as newsletter articles, a website, one-page fact sheets, executive summaries, and PowerPoint presentations or webinars.
• Communicate your findings in a way that the audience can easily understand . Write content to describe graphs, tables, and charts. Do not assume that your readers will look at both the displays and the narrative. Ensure that all of your graphs, tables, and charts can stand alone.
• Interpret the findings . Interpretation means looking beyond the data and asking what the results mean in relation to your evaluation questions. It is always a good idea to review the results with selected stakeholders before completing an evaluation report. This review can be accomplished by circulating an interim or draft report and meeting to discuss it together.
• Include recommendations and lessons learned . The recommendations should address specific findings and be feasible, realistic, actionable, and tailored to intended users. A report that details lessons learned is particularly useful in contributing to public health practices and reporting for accountability purposes.

Keeping it off the bookshelf—the importance of dissemination

Effective dissemination requires a plan to get the right knowledge to the right people at the right time and to help them apply it in ways that may improve a program’s performance.

Step 1: Create a dissemination plan

Your dissemination plan should answer these questions:

• Who is the target audience?
• What medium will you use to disseminate findings—hardcopy print, electronic, presentations, briefings?
• How, where, and when will findings be used?
• Who is responsible for dissemination?
• What resources are available to accomplish the work?
• What are the follow-up activities after release?
• How will follow-up activities be monitored?

Step 2: Identify a person to oversee the dissemination plan

Identify a person to lead the dissemination effort. This person makes sure that the dissemination plan is carried out. They person should have experience making information accessible and understandable to different audiences.

Step 3: Know the current landscape

Recognize that most reports have a shelf life and most findings have a “relevancy date.” Be knowledgeable about your context, and select optimal release times. For example, if there is a great deal of media coverage about a topic related to your work, such as helping families stay healthy, you may wish to be con­nected to an existing press release or press conference. If your topic has received negative publicity, on the other hand, you may wish to “plan around” this coverage.

Step 4: Consider the timing and frequency

Dissemination works best when multiple products (e.g., a full report, a summary report, an evaluation brief) and channels (i.e., print, verbal, and Web) are used.

Step 5: Stay involved

Convene follow-up discussions and facilitation as needed to ensure continued use of the report. You can take advantage of events that may help keep continued focus on your findings, such as social media, brown-bag lunches, meetings, conferences, or workshops.

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Some cases of Alzheimer's caused by two copies of a single gene

For the first time, researchers have identified a genetic form of late-in-life Alzheimer’s disease — in people who inherit two copies of a worrisome gene.

Scientists have long known a gene called APOE4 is one of many things that can increase people’s risk for Alzheimer’s, including simply getting older. The vast majority of Alzheimer’s cases occur after age 65. But research published Monday suggests that for people who carry not one but two copies of the gene, it’s more than a risk factor, it’s an underlying cause of the mind-robbing disease.

The findings mark a distinction with “profound implications,” said Dr. Juan Fortea, who led the study the Sant Pau Research Institute in Barcelona, Spain.

Among them: Symptoms can begin seven to 10 years sooner than in other older adults who develop Alzheimer’s.

An estimated 15% of Alzheimer’s patients carry two copies of APOE4, meaning those cases “can be tracked back to a cause and the cause is in the genes,” Fortea said. Until now, genetic forms of Alzheimer’s were thought to be only types that strike at much  younger ages  and account for less than 1% of all cases.

Scientists say the research makes it critical to develop treatments that target the APOE4 gene. Some doctors won’t offer the only drug that has been shown to modestly slow the disease, Leqembi , to people with the gene pair because they’re especially prone to a dangerous side effect, said Dr. Reisa Sperling, a study coauthor at Harvard-affiliated Brigham and Women’s Hospital in Boston.

Sperling  hunts ways to prevent  or at least delay Alzheimer’s and “this data for me says wow, what an important group to be able to go after before they become symptomatic.”

But the news doesn’t mean people should race for a gene test.

“It’s important not to scare everyone who has a family history” of Alzheimer’s because this gene duo isn’t behind most cases, she told The Associated Press.

How do genetics affects Alzheimer's?

More than 6 million Americans, and millions more worldwide, have Alzheimer’s. A handful of genes are known to cause rare “early-onset” forms, mutations passed through families that trigger symptoms unusually young, by age 50. Some cases also are linked to Down syndrome.

Latest news on Alzheimer's disease

• A type of belly fat may be linked to increased risk of Alzheimer's.
• In an unusual move, FDA postpones decision on Lilly's Alzheimer's drug.
• Decades-old HGH treatments linked to five cases of early Alzheimer's.

But Alzheimer’s most commonly strikes after 65, especially in the late 70s to 80s, and the APOE gene — which also affects how the body handles fats -- was long known to play some role. There are three main varieties. Most people carry the APOE3 variant that appears to neither increase nor decrease Alzheimer’s risk. Some carry APOE2, which provides some protection against Alzheimer’s.

APOE4 has long been labeled the biggest genetic risk factor for late-in-life Alzheimer’s, with two copies risker than one. About 2% of the global population is estimated to have inherited a copy from each parent.

Pointing to a cause for a subset of Alzheimer's

To better understand the gene’s role, Fortea’s team used data from 3,297 brains donated for research and from over 10,000 people in U.S. and European Alzheimer’s studies. They examined symptoms and early hallmarks of Alzheimer’s such as sticky amyloid in the brain.

People with two APOE4 copies were accumulating more amyloid at age 55 than those with just one copy or the “neutral” APOE3 gene variety, they reported in the journal Nature Medicine. By age 65, brain scans showed significant plaque buildup in nearly three-quarters of those double carriers — who also were more likely to have initial Alzheimer’s symptoms around that age rather than in the 70s or 80s.

Fortea said the disease’s underlying biology was remarkably similar to young inherited types.

It appears more like “a familial form of Alzheimer’s,” said Dr. Eliezer Masliah of the National Institute on Aging. “It is not just a risk factor.”

Importantly, not everyone with two APOE4 genes develops Alzheimer’s symptoms and researchers need to learn why, Sperling cautioned.

“It’s not quite destiny,” she said.

How new findings may affect research

The drug Leqembi works by clearing away some sticky amyloid but Sperling said it’s not clear if carriers of two APOE4 genes benefit because they have such a high risk of a side effect from the drug — dangerous brain swelling and bleeding. One research question is whether they’d do better starting such drugs sooner than other people.

Masliah said other research aims to develop gene therapy or drugs to specifically target APOE4. He said it’s also crucial to understand APOE4’s effects in diverse populations since it’s been studied mostly in white people of European ancestry.

As for gene tests, for now they’re typically used only to evaluate if someone’s a candidate for Leqembi or for people enrolling in Alzheimer’s research — especially studies of possible ways to prevent the disease. Sperling said the people most likely to carry two APOE4 genes had parents who both got Alzheimer’s relatively early, in their 60s rather than their 80s.

The Associated Press

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• Published: 14 May 2024

2023 summer warmth unparalleled over the past 2,000 years

• Jan Esper   ORCID: orcid.org/0000-0003-3919-014X 1 , 2 ,
• Max Torbenson   ORCID: orcid.org/0000-0003-2720-2238 1 &
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Including an exceptionally warm Northern Hemisphere (NH) summer 1 ,2 , 2023 has been reported as the hottest year on record 3-5 . Contextualizing recent anthropogenic warming against past natural variability is nontrivial, however, because the sparse 19 th century meteorological records tend to be too warm 6 . Here, we combine observed and reconstructed June-August (JJA) surface air temperatures to show that 2023 was the warmest NH extra-tropical summer over the past 2000 years exceeding the 95% confidence range of natural climate variability by more than half a degree Celsius. Comparison of the 2023 JJA warming against the coldest reconstructed summer in 536 CE reveals a maximum range of pre-Anthropocene-to-2023 temperatures of 3.93°C. Although 2023 is consistent with a greenhouse gases-induced warming trend 7 that is amplified by an unfolding El Niño event 8 , this extreme emphasizes the urgency to implement international agreements for carbon emission reduction.

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Environment, Natural Resources and Agriculture (ENRA) research programme 2022-2027: mid-programme review report

Findings of the mid-programme review of the Environment, Natural Resources and Agriculture research programme 2022 to 2027.

5. Theme A: Plant and Animal Health

The Plant and Animal Health theme covers the topics plant disease, animal disease and animal welfare with a combined total of 18 projects. The grant offer for Theme A projects in 2023-24 was circa £5m.

Impact resulting from previous research programmes continue to arise and be reported through current projects. For example, continuation of research on commercialisation of a vaccine for chlamydial abortion (ovine enzootic abortion) in sheep is currently underway. This important research contributes to improve animal health and welfare and the sustainability of livestock production in Scotland. Both safeguarding public health and sustainably improving livestock production to meet global food security challenges.

Research funded through the previous two SRP s demonstrated proof-of-principle and then determined how production could be simplified, making it more commercially viable.

Moredun scientists are now working with a commercial company on a vaccine licensing agreement and commercialisation.

5.1 Science Excellence and Reach

The SAB commented that while the projects within Theme A are at an early stage in the cycle of the programme they demonstrated a number of good examples of working at the national levels to advocate internationally competitive research and innovation.

SAB noted there was evidence that research within the theme was internationally competitive, based on outputs such as publications in high prestigious journals delivering real solutions to agriculture. SAB noted however this needs to be quantified. SAB suggested the Themes quantify the outputs in comparison to three competitor international research performing organisations of their choosing.

SAB commented there is no evidence of duplication of past research for A1 (Plant Disease), A2 (Animal Disease), or A3 (Animal Welfare). It was noted the research often builds on research from previous programmes. SAB commented while there may be duplication of technology/methodology from the past research the objectives of current research is clear and focused.

A SAB member noted the work on Integrated Pest Management ( IPM ) in the context of reducing the use of pesticides (important in the context of Scotland’s Biodiversity Strategy) seems particularly relevant and the focus on late potato blight is unlikely to duplicate research elsewhere.

SAB noted it was important to ensure the Greenhouse Gas ( GHG ) emissions reductions due to improved animal health can be reliably quantified to ensure these can be recognised in the national inventory calculations.

SAB members commented on several gaps, which should be considered including:

• A1 (Plant Disease): The need for ongoing Research and Development ( R&D ) on IPM has been identified. This would be typically longer-term, strategic work, to address issues regarding loss of effective chemistries due to resistance or legislation. For this, both fundamental (e.g. BBSRC ) and applied (e.g. Innovate

UK /Industry) funding sources can be leveraged. Scope to link more closely with Plant Health Centre has been identified. Issues around new disease pressures arising from the use of peat replacements may be an R&D gap.

• A2 (Animal Disease): The need to align research on sheep scab with pilot intervention study has been identified as an immediate gap/opportunity. Further proposals for pilot studies are in preparation (Johne’s disease). Fundamental work on Vector Borne Diseases. Scope to link more closely with Centre for Animal Disease ( EPIC ) and social sciences research (e.g. A3) has been identified.
• A3 (Animal Welfare): Scope to link research/pilot studies on sheep scab (A2) with welfare R&D has been identified. Opportunities for R&D relating to welfare of livestock during transport.
• SAB observed there was a common need for diagnostics and better predictive modelling across Theme A.

5.2 Research Impact

SAB reported Theme A is making clear progress towards impact in many areas. In the case studies presented there was good interactions with either farmers, the food industry or policymakers as appropriate . It was noted that in some cases researchers were able to provide a monetary value of their research findings.

The following was noted on impact by Topic:

• A1 (Plant Disease): Good evidence has been provided to show that outputs are being used to make progress towards impact, including support for a range of industry stakeholders. The work aligns well with overarching Net Zero and Biodiversity policy drivers, to include adapting to the effects of climate change which will include complex changes in pest and disease pressures across different landscapes and sectors. The development of effective IPM strategies across a range of Scottish crop production systems (barley, potato, soft fruit, and other horticultural crops) is critical to address the potential loss of effectiveness of available chemistries, alongside the need to reduce inputs/costs, legislation, etc.
• A2 (Animal Disease): Good evidence of progress towards impact, based on translational funding already secured.
• A3 (Animal Welfare): Clear progress to impact is presented, e.g. links from R&D in the area of Precision Livestock Farming ( PLF ) to support policies/legislation relating to animal welfare. It would be useful to hear more how planned R&D relates to policies relating to animal transport/export and wider sustainable farming initiatives. Excellent evidence of wider stakeholder engagement activities.

SAB agreed Theme A had demonstrated good examples of research outputs which are delivering and projects were presented that are highly relevant to address the triple challenges of food production, climate and nature however the significance would need to be quantified.

5.3 Scottish Government Policy Priorities

The following highlights the policy priority categorisation and observations noted for research projects within Theme A. Other stakeholder priorities, such as industry, have not been reflected in the categorisation below but are considered key to a projects overall impact/importance.

5 projects, 2023-24 spend circa £2m

All research projects on the topic of plant health have been classified as critical to policy officials. These projects look at understanding pest and disease incidence and developing improved disease management in practice. This research will help inform the UK National Action Plan on responsible use of pesticides and provide information and evidence needed for farmers to increase uptake of integrated pest management practices.

Research which has associated innovation and impacts beyond the current programme has been identified as Critical, including the development and use of advanced in vitro culture systems to interrogate host-pathogen interactions in livestock species. The importance of the future outputs of this research to animal health and welfare, the sustainability of livestock production in Scotland (including reducing associated GHG emissions), and safeguarding public health are seen as critical to policy officials.

Research providing evidence to inform development and implementation of Scottish legislation to align with EU Animal Health Regulations, in particular the development of legislation for Identification, Registration and Movement ( IRM ) of camelids and cervids.

12 projects, 2023-24 spend circa £2m

Research identified as important to policy officials includes projects which will provide evidence to; control and prevent of economically-important diseases of livestock, vaccines for diseases in sheep and cattle, improve welfare, promote animal husbandry in sustainable farming systems, the antimicrobial use in livestock and resistance, biosecurity practices and sheep and cattle traceability.

The above research areas importantly feed into key policy delivery such as Agriculture and Rural Communities (Scotland) Bill, Agricultural Reform Programme ( ARP ), Scottish Government strategies on antimicrobial resistance ( AMR ) and other individual policies development. Vaccination research enhances animal welfare both safeguarding public health and sustainably improving livestock production to meet global food security challenges.

6 projects, 2023-24 spend circa £1m

Research in Theme A has been classified as desirable by policy officials when outputs cannot be directly linked to animal or plant health policy needs. For example, some research focuses on human health concern and could be funded elsewhere on grounds of public health.

A research project has been classified as desirable where key research questions are being answered by other funders, although often the individual projects can provide an additional insight.

5.4 Theme A Conclusion

Overall Theme A has demonstrated the research is delivering relevant outputs to address the triple challenges of food production, climate and nature.

In Plant and Animal Health research there is a need to understand and adapt to the pressures of climate change, including altered pest and disease pressures. There is also a need to reduce inputs to preserve biodiversity. The following recommendations have been noted for Theme A:

• SAB Recommendation: Theme A looks to embed more social sciences Research and Development ( R&D ) and stakeholder elicitation activities.
• SAB Recommendation: It is recommended that research gaps in Theme A identified by SAB , and discussed above, are reviewed by RESAS and options to address gaps are investigated.

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Changing Partisan Coalitions in a Politically Divided Nation

5. party identification among religious groups and religiously unaffiliated voters, table of contents.

• What this report tells us – and what it doesn’t
• Partisans and partisan leaners in the U.S. electorate
• Party identification and ideology
• Education and partisanship
• Education, race and partisanship
• Partisanship by race and gender
• Partisanship across educational and gender groups by race and ethnicity
• Gender and partisanship
• Parents are more Republican than voters without children
• Partisanship among men and women within age groups
• Race, age and partisanship
• The partisanship of generational cohorts
• Religion, race and ethnicity, and partisanship
• Party identification among atheists, agnostics and ‘nothing in particular’
• Partisanship and religious service attendance
• Partisanship by income groups
• The relationship between income and partisanship differs by education
• Union members remain more Democratic than Republican
• Homeowners are more Republican than renters
• Partisanship of military veterans
• Demographic differences in partisanship by community type
• Race and ethnicity
• Age and the U.S. electorate
• Education by race and ethnicity
• Religious affiliation
• Ideological composition of voters
• Acknowledgments
• Overview of survey methodologies
• The 2023 American Trends Panel profile survey methodology
• Measuring party identification across survey modes
• Adjusting telephone survey trends
• Appendix B: Religious category definitions
• Appendix C: Age cohort definitions

The relationship between partisanship and voters’ religious affiliation continues to be strong – especially when it comes to whether they belong to any organized religion at all.

The gap between voters who identify with an organized religion and those who do not has grown much wider in recent years.

Protestants mostly align with the Republican Party. Protestants remain the largest single religious group in the United States. As they have for most of the past 15 years, a majority of Protestant registered voters (59%) associate with the GOP, though as recently as 2009 they were split nearly equally between the two parties.

Partisan identity among Catholics had been closely divided, but the GOP now has a modest advantage among Catholics. About half of Catholic voters identify as Republicans or lean toward the Republican Party, compared with 44% who identify as Democrats or lean Democratic.

Members of the Church of Jesus Christ of Latter-day Saints remain overwhelmingly Republican. Three-quarters of voters in this group, widely known as Mormons, identify as Republicans or lean Republican. Only about a quarter (23%) associate with the Democratic Party.

Jewish voters continue to mostly align with the Democrats. About seven-in-ten Jewish voters (69%) associate with the Democratic Party, while 29% affiliate with the Republican Party. The share of Jewish voters who align with the Democrats has increased 8 percentage points since 2020.

Muslims associate with Democrats over Republicans by a wide margin. Currently, 66% of Muslim voters say they are Democrats or independents who lean Democratic, compared with 32% who are Republicans or lean Republican. (Data for Muslim voters is not available for earlier years because of small sample sizes.)

Democrats maintain a wide advantage among religiously unaffiliated voters. Religious “nones” have become more Democratic over the past few decades as their size in the U.S. population overall and in the electorate has grown significantly. While 70% of religiously unaffiliated voters align with the Democratic Party, just 27% identify as Republicans or lean Republican.

Related: Religious “nones” in America: Who they are and what they believe

Over the past few decades, White evangelical Protestant voters have moved increasingly toward the GOP.

• Today, 85% of White evangelical voters identify with or lean toward the GOP; just 14% align with the Democrats.

• Over the past three decades, there has been a 20 percentage point rise in the share of White evangelicals who associate with the GOP – and a 20-point decline in the share identifying as or leaning Democratic. 

Over the past 15 years, the GOP also has made gains among White nonevangelical and White Catholic voters.

About six-in-ten White nonevangelicals (58%) and White Catholics (61%) align with the GOP.    Voters in both groups were equally divided between the two parties in 2009.

Partisanship among Hispanic voters varies widely among Catholics and Protestants.

• 60% of Hispanic Catholic voters identify as Democrats or lean Democratic, but that share has declined over the past 15 years.
• Hispanic Protestant voters are evenly divided: 49% associate with the Republican Party, while 45% identify as Democrats or lean Democratic.

A large majority of Black Protestants identify with the Democrats (84%), but that share is down 9 points from where it was 15 years ago (93%).

Atheists and agnostics, who make up relatively small shares of all religiously unaffiliated voters, are heavily Democratic.

Among those who identify their religion as “nothing in particular” – and who comprise a majority of all religious “nones” – Democrats hold a smaller advantage in party identification.

• More than eight-in-ten atheists (84%) align with the Democratic Party, as do 78% of agnostics.
• 62% of voters who describe themselves as “nothing in particular” identify as Democrats or lean Democratic, while 34% align with the GOP.

Voters who regularly attend religious services are more likely to identify with or lean toward the Republican Party than voters who attend less regularly.

In 2023, 62% of registered voters who attended religious services once a month or more aligned with Republicans, compared with 41% of those who attend services less often.

This pattern has been evident for many years. However, the share of voters who identify as Republicans or lean Republican has edged up in recent years.

For White, Hispanic and Asian voters, regular attendance at religious services is linked to an increase in association with the Republican Party.

However, this is not the case among Black voters.

Only about one-in-ten Black voters who are regular attenders (13%) and a similar share (11%) of those who attend less often identify as Republicans or Republican leaners.

Higher GOP association among regular attenders of religious services is seen across most denominations.

For example, among Catholic voters who attend services monthly or more often, 61% identify as Republicans or lean toward the Republican Party.

Among less frequent attenders, 47% align with the GOP.

Black Protestants are an exception to this pattern: Black Protestant voters who attend religious services monthly or more often are no more likely to associate with the Republican Party than less frequent attenders.

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In Tight Presidential Race, Voters Are Broadly Critical of Both Biden and Trump

Key facts about hispanic eligible voters in 2024, key facts about black eligible voters in 2024, key facts about asian american eligible voters in 2024, republican gains in 2022 midterms driven mostly by turnout advantage, most popular, report materials.

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