Statistics for Nursing and Allied HealthThis introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique. |
Contents
Nursing research began in Florence Nightingales Notes of Nursing 1859 | 16 |
Dissemination of Findings | 84 |
15 | 95 |
Bibliography | 100 |
Statistical Methods | 101 |
16 | 108 |
7 | 144 |
Huddleston R Berkheimer C Landis S Houck D Proctor A Whiteford J 2005 | 170 |
11 | 299 |
12 | 336 |
Writing for Publication | 375 |
Appendix | 385 |
Critical Values of T the Wilcoxon SignedRank Statistic | 391 |
Appendix | 398 |
Appendix | 404 |
| 415 | |
Common terms and phrases
a-level ANOVA by rank ANOVA table associated p-value Bonferroni t-test button is clicked characteristic of interest compared computed value conclusion confidence interval critical value cross-tabulation table Crosstabs Define degrees of freedom dependent variable depression score determine dieters error exceed the critical formula frequency Friedman's ANOVA gender grouping variable HbA1c homogeneity of variance independent t-test infants interquartile range intervention Kruskal-Wallis H-test linear regression logistic regression Mann-Whitney U-test measurement scale median nonparametric test normally distributed null and alternative null hypothesis nursing obtained odds ratio one-way ANOVA ordinal p-value pain relief paired t-test participants patients person pop-up box population post-hoc tests posttest poverty pretest probability relationship repeated-measures ANOVA sample significant difference exists significantly different SPSS SPSS output standard deviation STEM-AND-LEAF PLOT Step STEP-BY-STEP COMPUTING t-test statistic tied for ranks tion TRICARE two-tailed test type I error weight loss Wilcoxon matched-pairs test women z-score