Informationen zum Autor Manfred Stommel, PhD, is Professor, College of Nursing, Michigan State University. Klappentext This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of articles in clinical journals. The text emphasizes the importance of understanding the underlying logic of statistical texts and models in order to correctly interpret them and effectively translate them into practice. Inhaltsverzeichnis Contents Preface Acknowledgments PART I: FOUNDATIONS FOR STATISTICAL THINKING 1. Introduction: The Role of Statistics in Research and Clinical Practice 2. Properties of Variables: Levels of Measurement 3. Descriptive Univariate Statistics 4. Probabilities 5. Logic of Statistical Inference: The Sampling Distribution and Significance Tests 6. Standard Errors, Confidence Intervals, and the Power of Statistical Tests 7. Research Designs and Statistical Analysis PART II: MODELS FOR CONTINUOUS/INTERVAL-LEVEL OUTCOME MEASURES 8. t-Test 9. One-Way Analysis of Variance 10. Linear Regression and Pearson's r Correlation 11. Factorial Analysis of Variance and Analysis of Covariance 12. Multiple Linear Regression 13. Repeated-Measures Analysis of Variance 14. Introduction to Mixed-Effects Regression Models PART III: MODELS FOR CATEGORICAL OUTCOME MEASURES 15. Nonparametric/Ordinal Statistics 16. Frequency Cross-Tabulations: 2 2 Tables 17. Logistic Regression With One Independent Variable 18. Logistic Regression Models With Multiple Predictors PART IV: MODELS FOR TIME-TO-EVENT DATA/SURVIVAL ANALYSIS 19. Incidence Rates, Life Tables, and Survival Function 20. Comparing Survival Functions in Different Groups and Hazard Regression PART V: MEASUREMENT MODELS 21. Reliability Coefficients and Medical Test Evaluation 22. Factor Analysis PART VI: ISSUES IN DATA MANAGEMENT 23. Data Management and Privacy Concerns APPENDICES A. Estimating Population Variance From Sample Variance B. One-Sided Probabilities for z-Scores of the Standard Normal Distribution C. Table of Critical t-Values for Several Significance Levels of t-Distributions With Different Degrees of Freedom (df) D. Normalizing a Nonnormal Distribution E. Table of Critical f-Values at the Significance Level of a = 0.05 of f-Distributions With Different Degrees of Freedom (df) F. Proof That Phi = Pearson's r G. Table of Critical Chi-Square Values for Several Significance Levels of Chi-Square Distributions With Different Degrees of Freedom (df) H. Refresher on Exponential and Logarithmic Transformations I. Standardization of Interval-Level Variables J. Answers to Selected Exercises Index ...

Auteur

Manfred Stommel, PhD, is Professor, College of Nursing, Michigan State University.

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This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of articles in clinical journals. The text emphasizes the importance of understanding the underlying logic of statistical texts and models in order to correctly interpret them and effectively translate them into practice.

Contenu

Contents

Preface

Acknowledgments

PART I: FOUNDATIONS FOR STATISTICAL THINKING

1. Introduction: The Role of Statistics in Research and Clinical Practice

2. Properties of Variables: Levels of Measurement

3. Descriptive Univariate Statistics

4. Probabilities

5. Logic of Statistical Inference: The Sampling Distribution and Significance Tests

6. Standard Errors, Confidence Intervals, and the Power of Statistical Tests

7. Research Designs and Statistical Analysis

PART II: MODELS FOR CONTINUOUS/INTERVAL-LEVEL OUTCOME MEASURES

8. t-Test

9. One-Way Analysis of Variance

10. Linear Regression and Pearson's r Correlation

11. Factorial Analysis of Variance and Analysis of Covariance

12. Multiple Linear Regression

13. Repeated-Measures Analysis of Variance

14. Introduction to Mixed-Effects Regression Models

PART III: MODELS FOR CATEGORICAL OUTCOME MEASURES

15. Nonparametric/Ordinal Statistics

16. Frequency Cross-Tabulations: 2 2 Tables

17. Logistic Regression With One Independent Variable

18. Logistic Regression Models With Multiple Predictors

PART IV: MODELS FOR TIME-TO-EVENT DATA/SURVIVAL ANALYSIS

19. Incidence Rates, Life Tables, and Survival Function

20. Comparing Survival Functions in Different Groups and Hazard Regression

PART V: MEASUREMENT MODELS

21. Reliability Coefficients and Medical Test Evaluation

22. Factor Analysis

PART VI: ISSUES IN DATA MANAGEMENT

23. Data Management and Privacy Concerns

APPENDICES

A. Estimating Population Variance From Sample Variance

B. One-Sided Probabilities for z-Scores of the Standard Normal Distribution

C. Table of Critical t-Values for Several Significance Levels of t-Distributions With Different Degrees of Freedom (df)

D. Normalizing a Nonnormal Distribution

E. Table of Critical f-Values at the Significance Level of a = 0.05 of f-Distributions With Different Degrees of Freedom (df)

F. Proof That Phi = Pearson's r

G. Table of Critical Chi-Square Values for Several Significance Levels of Chi-Square Distributions With Different Degrees of Freedom (df)

H. Refresher on Exponential and Logarithmic Transformations

I. Standardization of Interval-Level Variables

J. Answers to Selected Exercises

Index