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Statistics for Nursing Research

Statistics for Nursing Research

A Workbook for Evidence-Based Practice

9780323930505
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Description

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.

Product Details
Elsevier
98488
9780323930505
9780323930505

Data sheet

Publication date
2024
Issue number
4
Cover
paperback
Pages count
528
Dimensions (mm)
216 x 276
Weight (g)
1470
  • 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 Students t Distribution
    Appendix B: Critical Values of r for Pearson Product Moment Correlation Coefficient
    Appendix C: Critical Values of F for a = 0.05 and a = 0.01
    Appendix D: Critical Values of the ?2 Distribution
    Index
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