Statistics for Advanced Practice Nurses and Health Professionalsby Manfred Stommel and Katherine Dontje Springer Publishing Company
- Pub Date:
- Pbk 350 pages
- AU$136.00 NZ$140.87
With a focus on disseminating information in easily understandable language, the text addresses basic statistical reasoning and four different classes of statistical models. It provides refreshers on the algebraic underpinnings of statistics in the appendices and more complex algebraic derivations in highlighted boxes throughout the text. This includes how to manipulate the exponential expressions and logarithms necessary for logistic and hazard regression models. The book also features clear explanations of more sophisticated statistical models, inference, and analyses. Chapters present examples from current research and multiple exercises designed to reinforce learning. These include both hand calculations and data analysis using SPSS or STATA software. Additionally, data sets for practice are available from the Springer Publishing website with instructions for producing output shown in the text in SPSS, STATA, SAS, and Microsoft Excel formats. A chapter on data management practices and ethical issues of privacy maintenance is also included.
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'srCorrelation 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 ofa= 0.05 of f-Distributions With Different Degrees of Freedom (df) F. Proof That Phi = Pearson'sr 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