
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences
About this book
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.
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Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Acknowledgments
- Publisher Note
- 1 Brief Introduction to Research in the Social, Behavioral, and Health Sciences
- 2 Variables and Measurement
- 3 How to Sample and Collect Data for Analysis
- 4 Data Frequencies and Distributions
- 5 Using and Interpreting Univariate and Bivariate Visualizations
- 6 Central Tendency and Variability
- 7 What Are z Scores, and Why Are They Important?
- 8 Hypothesis Testing and Statistical Significance
- 9 How to Measure the Relationship Between Nominal and Ordinal Variables
- 10 Effect Size
- 11 How to Interpret and Report Regression Results
- 12 Indices, Typologies, and Scales
- Appendix A: The Standard Normal Table
- Appendix B: Critical Values for t Statistic
- Appendix C: Critical Values for Chi-Square
- Appendix D: Critical Values for F Statistics
- Appendix E: Glossary
- About the Authors