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Statistics for Nursing Research

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Statistics for Nursing Research
Statistics for Nursing Research

Statistics for Nursing Research

A Workbook for Evidence-Based Practice

9780323358811
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Description

Understand the statistical methods used in nursing research articles! Statistics for Nursing Research:: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research.

Product Details
Saunders
58191
9780323358811
9780323358811

Data sheet

Publication date
2016
Issue number
2
Cover
paperback
Pages count
480
Dimensions (mm)
216 x 276
Weight (g)
1270
  • 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 Pearsons 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 Chi Square
    20. Understanding Spearman Rank-Order Correlation Coefficient
    21. Understanding Mann-Whitney U Test
    22. Understanding Wilcoxon Matched-Pairs Signed-Ranks Test
    Part 2: Conducting and Interpreting Statistical Analyses
    23. Selecting Appropriate Analysis Techniques for Studies
    24. Describing the Elements of Power Analysis: Standard Power, Effect Size, Alpha, and Sample Size
    25. Conducting Power Analysis
    26. Determining the Normality of a Distribution
    27. Calculating Descriptive Statistics
    28. Calculating Pearsons Product-Moment Correlation Coefficient
    29. Calculating Simple Linear Regression
    30. Calculating Multiple Linear Regression
    31. Calculating t-tests for Independent Samples
    32. Calculating t-tests for Paired (Dependent) Samples
    33. Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
    34. Calculating Sensitivity and Specificity
    35. Calculating Pearson Chi-Square
    36. Calculating Odds Ratio and 95% Confidence Intervals
    References
    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 ? = 0.05 and ? = 0.01
    Appendix D: Critical Values of the ?2 Distribution

See next edition:

Statistics for Nursing Research
Statistics for Nursing Research
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