Nursing Catalogue 2016

140

Munro’s Statistical Methods for Health Care Research, Sixth Edition, Revised Reprint Stacey B. Plichta, ScD, CPH 978-1-4511-8794-6 • October 2012 • Softbound • 7” x 9” • 576 pp.

This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today’s health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study. Features • NEW! Author team based the book on the organizational framework that Barbara Hazard Munro developed, which a generation of students and health care providers have used. • Included are chapter-by-chapter sections on the research question, examples from the literature, types of data required, assumptions, details of the specific technique under discussion, and a fully worked out example of how to compute the statistic both by hand and with IBM SPSS. • The software that is referenced has been updated to SPSS 18. • Expanded discussions of nonparametric (distribution free) statistics and the chi-square statistic are included. • Online Resources Include: – Test Generator. – Power Points. – Journal Articles. – Image Bank. – Full Text Online.

Table of Contents Section 1: Obtaining and Understanding Data Ch.1: Using Research and Statistics in Health Care Ch. 2: Descriptive Statistics: Getting to Know the Data Ch. 3: Key Principles of Statistical Inference Ch.4: Hypothesis Testing with Inferential Statistics Section 2: Analyzing the Data Ch. 5: Measuring the Differences Between the Means Two Unrelated Group Means: Independent t-tests and Mann-Whitney U-tests Ch. 6: Measuring the Differences Between the Means of Two Related Groups: Paired t-tests and Wilcoxon Matched Pairs tests Ch. 7: Measuring the Differences Between the Means of Three or More Unrelated Groups: One -Way ANOVAs and the Kruskal-Wallis H-tests Ch. 8: Differences Among the Means of Three or More Unrelated Groups Defined by Two or More Independent Variables: N-Way ANOVA Ch. 9: Comparing the Means of Three or More Related Groups: Repeated Measures ANOVA and Friedman’s ANOVA by Rank Ch. 10: Analysis of Covariance (ANCOVA) Ch. 11: Measuring the Association of two Variables: Pearson and Spearman Correlation Ch. 12: Examining Cross tabulations: The Chi-square Statistic and The McNemar Test Section 3: Model Building and Presentation Ch. 13: Logistic Regression Ch. 14: Linear Regression and Regression Diagnostic

Research • Statistic & Theory

Ch. 15: Factor Analysis Ch. 16: Path Analysis

Ch. 17: Structural Equation Modeling Ch. 18: Writing for Presentation and Publication