statistics & data analysis for nursing research

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Statistics and Data Analysis for Nursing Research 2nd Edition

There is a newer edition of this item:, purchase options and add-ons.

The second edition of Statistics and Data Analysis for Nursing , uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are

updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009.

• ISBN-10 0135085071
• ISBN-13 978-0135085073
• Edition 2nd
• Publisher Pearson
• Publication date August 5, 2009
• Language English
• Dimensions 8 x 0.9 x 9.95 inches
• Print length 456 pages
• See all details

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Editorial Reviews

From the back cover.

Statistics and Data Analysis for Nursing Research 2e

Denise F. Polit, PdD

Users praised the accessibility, clarity, and user-friendliness of the first edition of Statistics and Data Analysis for Nursing Research . Now, the push for evidence-based practice (EBP) in nursing and health care makes this new edition timely. The style and practical emphasis of the first edition have been retained, but important innovations have also been introduced, making it even easier to embark on a professional pathway that includes statistical analysis. As in the first edition, the content includes descriptive statistics, bivariate inferential statistics, and many widely-used multivariate statistics. It assumes virtually no prior knowledge of statistics.

NEW TO THIS EDITION

• Emphasis on evidence-based practice

· SPSS Version 16.0 was used to generate output for the book

· Missing Values are demystified

· Factor Analysis content is expanded

· Power Analysis methods are explained

Additional Resources:

Online Applications Manual for Statistics and Data Analysis for Nursing Research 2e

Online resource for Application Exercises with three complete data sets, compatible with SPSS, as well as additional resources.

www.pearsonhighered.com/polit

[Pearson Education]

About the Author

Susan Norwood is a professor of nursing at Saint Anselm College in Manchester, New Hampshire, where she teaches critical care nursing, professional nursing, ethics, and understanding suffering. She received her bachelor’s degree from the University of Massachusetts, Amherst, her master’s degree from Boston College, and her PhD from Union Institute and University in Cincinnati, Ohio. She has been a practicing critical care nurse for over 30 years and a member of the American Association of Critical Care Nurses for nearly as long. She has published and presented in the areas of critical care nursing, nursing ethics, nursing history, suffering experienced by patients as well as health care providers, and conflict among members of the health care team.

Product details

• Publisher ‏ : ‎ Pearson; 2nd edition (August 5, 2009)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 456 pages
• ISBN-10 ‏ : ‎ 0135085071
• ISBN-13 ‏ : ‎ 978-0135085073
• Item Weight ‏ : ‎ 1.85 pounds
• Dimensions ‏ : ‎ 8 x 0.9 x 9.95 inches
• #7 in Medical Research (Books)
• #43 in Nursing Research & Theory (Books)

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Interpretation and use of statistics in nursing research

Affiliation.

• 1 Philips Medical Systems, Andover, MA 01810, USA. [email protected]
• PMID: 18560290
• DOI: 10.1097/01.AACN.0000318124.33889.6e

A working understanding of the major fundamentals of statistical analysis is required to incorporate the findings of empirical research into nursing practice. The primary focus of this article is to describe common statistical terms, present some common statistical tests, and explain the interpretation of results from inferential statistics in nursing research. An overview of major concepts in statistics, including the distinction between parametric and nonparametric statistics, different types of data, and the interpretation of statistical significance, is reviewed. Examples of some of the most common statistical techniques used in nursing research, such as the Student independent t test, analysis of variance, and regression, are also discussed. Nursing knowledge based on empirical research plays a fundamental role in the development of evidence-based nursing practice. The ability to interpret and use quantitative findings from nursing research is an essential skill for advanced practice nurses to ensure provision of the best care possible for our patients.

Publication types

• Analysis of Variance
• Confidence Intervals
• Data Interpretation, Statistical*
• Nursing Research / statistics & numerical data*
• Regression Analysis
• Sensitivity and Specificity

• Update librarian

Key Features

New features.

The combination from theory and applied exercises with detailed answers is very helpfull to support students transferring knwoledge in to practice

This is a well organised and provides undergraduate students with a clear understanding of statistics.

An excellent resource in statistics in health and social sciences which is also useful in physiotherapy studies; easy to read and follow and will highly recommend to students, educators and academics.

Good text for understanding statistics

Thank you. very essential

I think this book cover most of statistical subjects.

En la Facultad de Medicina Veracruz de la Universidad Veracruzana llevamos la EE Estadística por lo cual requiero revisar el libro para ver si reúne las características para se llevado al curso Agradezco el envío

Gives very good grounding in stats for year 4 and MSc students

Great for research students

Exactly what I need

Statistics and data analysis for nursing research

By denise f. polit.

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Book Details

Published in.

Upper Saddle River, N.J

Table of Contents

Edition notes.

Rev. ed. of: Data analysis & statistics for nursing research / Denise F. Polit. c1996.

Includes bibliographical references and indexes.

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• Created May 15, 2009
• 14 revisions

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Statistics and data analysis for nursing research

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