Home / Nursing / Munro's Statistical Methods for Health Care Research

Munro's Statistical Methods for Health Care Research

Edition: 6
9781451187946
ISBN/ISSN:
9781451187946
Publication Date:
September 6, 2012
2012-09-6
9781451187946
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This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most ...
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  • 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.
  • Edition
    6
    ISBN/ISSN
    9781451187946
    Product Format
    Paperback Book
    Trim Size
    7 x 9
    Pages
    576
    Edition
    6
    Publication Date
    September 6, 2012
    Weight
    1.7
  • Stacey Plichta Kellar ScD, CPH
    Department Chair, School of Community and Environmental Health, College of Health Sciences, Old Dominion University, Norfolk, VA
    Elizabeth Kelvin PhD, MPH
    PhD, MPH
    Assistant Professor
    CUNY School of Public Health at Hunter College
    New York, NY
  • Section 1: Obtaining and Understanding Data
    Chapter 1: Using Research and Statistics in Health Care
    Chapter 2: Descriptive Statistics: Getting to Know the Data
    Chapter 3: Key Principles of Statistical Inference
    Chapter 4: Hypothesis Testing with Inferential Statistics
    Section 2: Analyzing the Data
    Chapter 5: Measuring the Differences Between the Means Two Unrelated Group Means: Independent t-tests and Mann-Whitney U-tests
    Chapter 6: Measuring the Differences Between the Means of Two Related Groups: Paired t-tests and Wilcoxon Matched Pairs tests
    Chapter 7: Measuring the Differences Between the Means of Three or More Unrelated Groups: One -Way ANOVAs and the Kruskal-Wallis H-tests
    Chapter 8: Differences Among the Means of Three or More Unrelated Groups Defined by Two or More Independent Variables: N-Way ANOVA
    Chapter 9: Comparing the Means of Three or More Related Groups: Repeated Measures ANOVA and Friedman's ANOVA by Rank
    Chapter 10: Analysis of Covariance (ANCOVA)
    Chapter 11: Measuring the Association of two Variables: Pearson and Spearman Correlation
    Chapter 12: Examining Cross tabulations: The Chi-square Statistic and The McNemar Test
    Section 3: Model Building and Presentation
    Chapter 13: Logistic Regression
    Chapter 14: Linear Regression and Regression Diagnostic
    Chapter 15: Factor Analysis
    Chapter 16: Path Analysis
    Chapter 17: Structural Equation Modeling
    Chapter 18: Writing for Presentation and Publication
    Appendices and other end of book items
    Glossary
    Appendix A: Entering Data into SPSS
    Appendix B: Percent of Total Area of Normal Curve Between a z-score and the Mean
    Appendix C: Distribution of t
    Appendix D: Critical Values of the U-statistic
    Appendix E: Critical Values of the Wilcoxon Signed-Rank Statistic
    Appendix F: The 5% and 1% Points for the Distribution of F
    Appendix G: Critical Values of H for the Kruskal-Wallis ANOVA by Rank
    Appendix H: Critical Values of Dunn's Q for Nonparametric Multiple Comparison Testing
    Appendix I: Exact Distribution of the Friedman's χ2 for the Friedman'Xs ANOVA by Rank Comparing Three Related Groups
    Appendix J: Critical Values of the Pearson Correlation Coefficient
    Appendix K: Critical Value of the Spearman Correlation Coefficient
    Appendix L: Distribution of χ2 Probability
    Bibliography
    Index
  • * The book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course.
    * 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.
    * The book is organized into three sections: Section 1 focuses on obtaining and understanding your data, Section 2 focuses on analyzing the data (largely with bivariate statistics), and Section 3 focuses on model building and presenting your data.
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