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Research • Statistic & Theory
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
Ch. 15: Factor Analysis
Ch. 16: Path Analysis
Ch. 17: Structural Equation Modeling
Ch. 18: Writing for Presentation and
Publication