Table Of ContentChapter Chapter Title 1 Introduction to Data Analysis in an Evidence-Based Practice Environment 2 Frequency Distribution: Tabulating and Displaying Data 3 Central Tendency, Variability, and Location 4 Correlation, Crosstabulation, and Risk Indexes: Describing Relationships: 5 Statistical Inference 6 t Tests 7 Analysis of Variance 8 Chi Square and Other Nonparametric Tests 9 Correlation and Simple Regression 10 Multiple Regression 11 Analysis of Covariance, MANOVA, and Other Related Multivariate Techniques 12 Using Logistic Regression 13 Factor Analysis and Internal Consistency Reliability Analysis 14 Missing Values Appendix A: Theoretical Probability Tables Appendix B: Power Analysis/Effect Size Tables Appendix C: Tips on Handling Missing Data Appendix D: Answers for Selected Exercises
SynopsisThe second edition of Statistics and Data Analysis for Nursing , uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009., The second edition of Statistics and Data Analysis for Nursing, uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009., The second edition of Statistics and Data Analysis for Nursing , uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings.Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so.Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are updatedresearch examplesutilizinging examples from an international mix of studies published by nurse researchers in 2006-2009. ", The second edition of Statistics and Data Analysis for Nursing , uses a conversational style to teach students how to use statistical methods and procedures to analyse research findings. Students are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. In addition, management of data, including how and why to recode variables for analysis, how to "clean" data, and how to work around missing data, is discussed.