Statistics For Nursing Research: A Workbook For Evidence-Based Practice, 4th Edition

Statistics For Nursing Research: A Workbook For Evidence-Based Practice, 4th Edition

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

• Publisher ‏ : ‎ Elsevier; 4th edition (May 13, 2024)
• Language ‏ : ‎ English
• FORMAT: TRUE PDF/PRINT REPLICA
• ISBN-10 ‏ : ‎ 0323930506
• ISBN-13 ‏ : ‎ 978-0323930505

CONTENTS

Part 1: Understanding Statistical Methods
1 Identifying Levels of Measurement: Nominal, Ordinal, Interval,
and Ratio, 3
2 Understanding the Sampling Section of a Research Report: Population,
Sampling Criteria, Sample Size, Refusal Rate, and Attrition Rate, 16
3 Identifying Probability and Nonprobability Sampling Methods
in Studies, 28
4 Understanding Reliability of Measurement Methods, 44
5 Understanding Validity of Measurement Methods, 56
6 Understanding Frequencies and Percentages, 70
7 Interpreting Line Graphs, 82
8 Measures of Central Tendency: Mean, Median, and Mode, 92
9 Measures of Dispersion: Range and Standard Deviation, 104
10 Description of a Study Sample, 116
11 Interpreting Scatterplots, 128
12 Algorithm for Determining the Appropriateness of Inferential Statistical
Techniques Included in Research Reports, 140
13 Understanding Pearson Product-Moment Correlation Coefficient, 153
14 Understanding Simple Linear Regression, 166
15 Understanding Multiple Linear Regression, 178
16 Understanding the Independent Samples t-Test, 190
17 Understanding the Paired Samples t-Test, 202
18 Understanding Analysis of Variance and Post Hoc Analyses, 214
19 Understanding the Pearson Chi-Square, 226
20 Understanding Spearman Rank-Order Correlation Coefficient, 235
21 Understanding Mann-Whitney U Test, 246
22 Understanding the Wilcoxon Signed-Rank Test, 255

Part 2: Conducting and Interpreting Statistical Analyses
23 Selecting Appropriate Analysis Techniques for Studies, 267
24 Describing the Elements of Power Analysis: Power, Effect Size, Alpha,
and Sample Size, 280
25 Conducting Power Analysis, 290
26 Handling Missing Data, 308
27 Determining the Normality of a Distribution, 326
28 Calculating Descriptive Statistics, 346
29 Calculating the Pearson Product-Moment Correlation Coefficient, 363
30 Calculating Simple Linear Regression, 378
31 Calculating Multiple Linear Regression, 394
32 Calculating t-Tests for Independent Samples, 412
33 Calculating t-Tests for Paired (Dependent) Samples, 426
34 Calculating the Mann-Whitney U Test, 442
35 Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses
After ANOVA, 456
36 Calculating Sensitivity and Specificity, 474
37 Calculating the Pearson Chi-Square, 490
38 Calculating Odds Ratio and 95% Confidence Intervals, 504
References, 518
Appendix A: Critical Values for Student’s t Distribution, 525
Appendix B: Critical Values of r for Pearson Product-Moment
Correlation Coefficient, 527
Appendix C: Critical Values of F for a 5 0.05 and a 5 0.01, 528
Appendix D: Critical Values of the Chi-Square Distribution, 530

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