Practical Statistics for Nursing Using SPSS
- Herschel Knapp - Yeshiva University, USA
Courses:
Statistics in Health & Nursing
Statistics in Health & Nursing
April 2016 | 408 pages | SAGE Publications, Inc
A friendly and approachable guide to real-world statistics, Practical Statistics for Nursing Using SPSS® covers the most common statistical functions in nursing science using plain language. Students learn by doing, and an emphasis on this practical approach is seen throughout the book with each chapter structured to answer key questions: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Practice exercises include a vignette, codebook, and data sets ready for processing, enabling students to achieve mastery by carrying out actual statistical analyses.
Online resources for students are available at study.sagepub.com/statsfornursing and include data sets for examples and exercises, fully developed solutions to all odd-numbered exercises, and thorough tutorial videos providing an overview of each statistical method, step-by-step guidance on SPSS® processing, and interpretation of results. Online resources for instructors include Microsoft® PowerPoint® slides for each chapter and solutions to all exercises.
Online resources for students are available at study.sagepub.com/statsfornursing and include data sets for examples and exercises, fully developed solutions to all odd-numbered exercises, and thorough tutorial videos providing an overview of each statistical method, step-by-step guidance on SPSS® processing, and interpretation of results. Online resources for instructors include Microsoft® PowerPoint® slides for each chapter and solutions to all exercises.
Part I: Statistical Principles
1. Research Principles
Chapter 2 Samplng
3. Working in SPSS
Part II: Summarizing Variables
4. Descriptive Statistics
Part III: Measuring Differences Between Groups
5. t Test and Mann-Whitney U Test
6. ANOVA and Kruskal-Wallis Test
7. ANCOVA
8. MANOVA
Part IV - Measuring Differences Over Time
9. Paired t-Test and Wilcoxon Test
10. ANOVA Repeated Measures
Part V - Measuring Relationships Between Variables
11. Correlation and Regression
12. Chi-Square
13. Logistic Regression
Part VI - Data Handling
14. Supplemental SPSS Operations