Statistics for Nursing Research A Workbook for Evidence-Based Practice

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Title page Table of Contents Copyright Dedication Preface Acknowledgments Part 1: Understanding Statistical Methods 1.  Identifying levels of measurement: Nominal, ordinal, interval, and ratio Statistical technique in review Research article Study questions Answers to study questions Exercise 1 Questions to be graded 2.  Identifying probability and nonprobability sampling methods in studies Statistical technique in review Study questions Answers to study questions Exercise 2 Questions to be graded 3.  Understanding the sampling section of a research report: Population, sampling criteria, sample size, refusal rate, and attrition rate Statistical technique in review Research article Study questions Answers to study questions Exercise 3 Questions to be graded 4.  Understanding reliability of measurement methods Statistical technique in review Research article Study questions Answers to study questions Exercise 4 Questions to be graded 5.  Understanding validity of measurement methods Statistical technique in review Research article Study questions Answers to study questions Exercise 5 Questions to be graded 6.  Understanding frequencies and percentages Statistical technique in review Research article Study questions Answers to study questions Exercise 6 Questions to be graded 7.  Interpreting line graphs Statistical technique in review Research article Study questions Answers to study questions Exercise 7 Questions to be graded 8.  Measures of central tendency: Mean, median, and mode Statistical technique in review Research article Study questions Answers to study questions Exercise 8 Questions to be graded 9.  Measures of dispersion: Range and standard deviation Statistical technique in review Research article Study questions Answers to study questions Exercise 9 Questions to be graded 10.  Description of a study sample Statistical technique in review Research article Study questions Answers to study questions Exercise 10 Questions to be graded 11.  Interpreting scatterplots Statistical technique in review Research article Study questions Answers to study questions Exercise 11 Questions to be graded 12.  Algorithm for determining the appropriateness of inferential statistical techniques Statistical technique in review Study questions Answers to study questions Exercise 12 Questions to be graded 13.  Understanding Pearson product-moment correlation coefficient Statistical technique in review Research article Study questions Answers to study questions Exercise 13 Questions to be graded 14.  Understanding simple linear regression Statistical technique in review Research article Study questions Answers to study questions Exercise 14 Questions to be graded 15.  Understanding multiple linear regression Statistical technique in review Research article Study questions Answers to study questions Exercise 15 Questions to be graded 16.  Understanding independent samples t-test Statistical technique in review Research article Study questions Answers to study questions Exercise 16 Questions to be graded 17.  Understanding paired or dependent samples t-test Statistical technique in review Research article Study questions Answers to study questions Exercise 17 Questions to be graded 18.  Understanding analysis of variance (ANOVA) and post hoc analyses Statistical technique in review Research article Study questions Answers to study questions Exercise 18 Questions to be graded 19.  Understanding Pearson chi-square Statistical technique in review Research article Study questions Answers to study questions Exercise 19 Questions to be graded 20.  Understanding Spearman rank-order correlation coefficient Statistical technique in review Research article Study questions Answers to study questions Exercise 20 Questions to be graded 21.  Understanding Mann-Whitney U test Statistical technique in review Research article Study questions Answers to study questions Exercise 21 Questions to be graded 22.  Understanding Wilcoxon signed-rank test Statistical technique in review Research article Study questions Answers to study questions Exercise 22 Questions to be graded Part 2: Conducting and Interpreting Statistical Analyses 23.  Selecting appropriate analysis techniques for studies Statistics to address basic difference research questions and hypotheses Statistics to address basic associational/correlational research questions and hypotheses Applying inferential statistics to population data Study questions Answers to study questions Exercise 23 Questions to be graded 24.  Describing the elements of power analysis: Power, effect size, alpha, and sample size Effect size Study questions Answers to study questions Exercise 24 Questions to be graded 25.  Conducting power analysis Power analysis 1: Cohen’s d Power analysis 2: Cohen’s f Power analysis 3: Pearson r Power analysis 4: R2 Power analysis 5: Odds ratio Power analysis 6: d Power analysis 7: Cohen’s dz Study questions Answers to study questions Exercise 25 Questions to be graded 26.  Determining the normality of a distribution The normal curve Skewness Kurtosis Tests of normality SPSS computation Interpretation of SPSS output Study questions Answers to study questions Data for additional computational practice for questions to be graded Exercise 26 Questions to be graded 27.  Calculating descriptive statistics Measures of central tendency Measures of dispersion Sampling error SPSS computations Interpretation of SPSS output Study questions Answers to study questions Exercise 27 Questions to be graded 28.  Calculating Pearson product-moment correlation coefficient Research designs appropriate for the Pearson r Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Effect size Study questions Answers to study questions Data for additional computational practice for questions to be graded Exercise 28 Questions to be graded 29.  Calculating simple linear regression Research designs appropriate for simple linear regression Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Study questions Answers to study questions Data for additional computational practice for the questions to be graded Exercise 29 Questions to be graded 30.  Calculating multiple linear regression Research designs appropriate for multiple linear regression Statistical formula and assumptions SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Study questions Answers to study questions Exercise 30 Questions to be graded 31.  Calculating t-tests for independent samples Research designs appropriate for the independent samples t-test Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Study questions Answers to study questions Data for additional computational practice for questions to be graded Exercise 31 Questions to be graded 32.  Calculating t-tests for paired (dependent) samples Research designs appropriate for the paired samples t-test Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Answers to study questions Data for additional computational practice for questions to be graded Exercise 32 Questions to be graded 33.  Calculating analysis of variance (ANOVA) and post hoc analyses following ANOVA Research designs appropriate for the one-way ANOVA Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Study questions Answers to study questions Data for additional computational practice for questions to be graded Exercise 33 Questions to be graded 34.  Calculating sensitivity and specificity Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Study questions Answers to study questions Data for additional computational practice for questions to be graded Exercise 34 Questions to be graded 35.  Calculating Pearson chi-square Research designs appropriate for the Pearson χ2 Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Study questions Answers to study questions Data for additional computational practice for questions to be graded Exercise 35 Questions to be graded 36.  Calculating odds ratio and 95% confidence intervals Research designs appropriate for the odds ratio Statistical formula and assumptions Hand calculations SPSS computations Interpretation of SPSS output Final interpretation in American Psychological Association (APA) format Study questions Answers to study questions Data for additional computational practice for questions to be graded Exercise 36 Questions to be graded References 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 = 005 and α = 001 Appendix D: Critical values of the χ2 distribution Index Inside back cover Contents