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cover image - Statistics for Nursing Research,4th Edition
ISBN: 9780323930505
Copyright: 2025
Publication Date: 04-01-2024
Page Count: 528
Imprint: Elsevier
List Price: $66.99

Statistics for Nursing Research, 4th Edition

by Susan K. Grove, PhD, RN, ANP-BC, GNP-BC and Daisha J. Cipher, PhD

Paperback

cover image - Statistics for Nursing Research,4th Edition
ISBN: 9780323930505
Copyright: 2025
Publication Date: 04-01-2024
Page Count: 528
Imprint: Elsevier
List Price: $66.99
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Get the review and practice you need to critically appraise the statistical methods used in published research! Statistics for Nursing Research, 4th Edition helps you understand and interpret statistical methods, sampling and measurement techniques, and statistical analysis techniques. This unique and practical workbook is divided into two parts to differentiate between basic and advanced statistical methods, with dozens of hands-on exercises that will help you practice working with the statistical methods needed for building an evidence-based practice. This workbook is an indispensable resource for any nursing student or practicing nurse wishing to gain competency in conducting statistical analyses.

    • Comprehensive coverage of basic statistical methods includes extensive practice with the most common techniques of sampling, measurement, and statistical analysis seen in nursing and health sciences literature.
    • Literature-based approach uses key excerpts from published studies to reinforce learning through practical application.
    • 38 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced statistical techniques.
    • Study Questions in each chapter help you examine a statistical technique and apply concepts to an actual literature appraisal.
    • Online submission of answers for Questions for Further Application allows you to complete exercises in a web-based format and then submit completed exercises to your instructor via email for grading.
    • Consistent format for all chapters enhances learning and enables quick review.
    • NEW! More than half of the research articles in Part 1 are new, ensuring that exercises are based on the most current, clinically applicable published studies.
    • NEW! Enhanced interactive online functionality of the Questions for Further Application for each chapter allows you to save your work and complete the exercises at a later time before submitting work to your instructor for grading.
    • NEW! Enhanced emphasis on diversity and inclusion features representation of diverse authors and research foci in selected published articles.
    • NEW! Two new exercises are added to this edition: a unique Handling Missing Data exercise and a Calculating the Mann-Whitney U Test exercise.
    • NEW! VST eBook version of this title is a fully interactive eBook for the first time.
    • NEW! Supplemental video tutorials by Dr. Cipher on the Evolve website provide valuable reinforcement that is especially helpful for visual and auditory learners.
  • PART 1: Understanding Statistical Methods
    1. Identifying Levels of Measurement: Nominal, Ordinal, Interval, and Ratio
    2. Identifying Probability and Nonprobability Sampling Methods in Studies
    3. Understanding the Sampling Section of a Research Report: Population, Sampling Criteria, Sample Size, Refusal Rate, and Attrition Rate
    4. Understanding Reliability of Measurement Methods
    5. Understanding Validity of Measurement Methods
    6. Understanding Frequencies and Percentages
    7. Interpreting Line Graphs
    8. Measures of Central Tendency: Mean, Median, and Mode
    9. Measures of Dispersion: Range and Standard Deviation
    10. Description of a Study Sample
    11. Interpreting Scatterplots
    12. Algorithm for Determining the Appropriateness of Inferential Statistical Techniques
    13. Understanding Pearson Product-Moment Correlation Coefficient
    14. Understanding Simple Linear Regression
    15. Understanding Multiple Linear Regression
    16. Understanding Independent Samples t-test
    17. Understanding Paired or Dependent Samples t-test
    18. Understanding Analysis of Variance (ANOVA) and Post Hoc Analyses
    19. Understanding Pearson Chi Square
    20. Understanding Spearman Rank-Order Correlation Coefficient
    21. Understanding Mann-Whitney U Test
    22. Understanding Wilcoxon Signed-Rank Test
    PART 2: Conducting and Interpreting Statistical Analyses
    23. Selecting Appropriate Analysis Techniques for Studies
    24. Describing the Elements of Power Analysis: Power, Effect Size, Alpha, and Sample Size
    25. Conducting Power Analysis
    26. Determining the Normality of a Distribution
    27. Calculating Descriptive Statistics
    28. Handling Missing Data  NEW!
    29. Calculating Pearson Product-Moment Correlation Coefficient
    30. Calculating Simple Linear Regression
    31. Calculating Multiple Linear Regression
    32. Calculating t-tests for Independent Samples
    33. Calculating t-tests for Paired (Dependent) Samples
    34. Calculating the Mann-Whitney U Test  NEW!
    35. Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
    36. Calculating Sensitivity and Specificity
    37. Calculating Pearson Chi-Square
    38. Calculating Odds Ratio and 95% Confidence Intervals
    References
    Appendices

    Appendix A: Critical Values for Student's t Distribution
    Appendix B: Critical Values of r for Pearson Product Moment Correlation Coefficient
    Appendix C: Critical Values of F for α = 0.05 and α = 0.01
    Appendix D: Critical Values of the χ2 Distribution
    Index
  • Susan K. Grove, PhD, RN, ANP-BC, GNP-BC, Professor Emeritus, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Grand Prairie, Texas and Daisha J. Cipher, PhD, Professor, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas
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