With a new emphasis on the same "real data" professionals use to make evidence-based decisions, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, introduces fundamental concepts and their practical application to current social issues–no advanced math knowledge required. Examples from daily life illustrate that statistics are not just abstract mathematical constructs but have practical value in government, education, business, media, politics, sports and more. The latest version of IBM's SPSS software is fully integrated, and end-of-chapter SPSS problems are labeled by discipline. Making statistics accessible for even the most math-adverse learners, the text breaks down complex material to help students master key concepts and develop skills they will need as professionals in a social science field–or as statistically literate consumers of social research.
頁數:568
版次:第11版
年份:2021年
規格:平裝/彩色
ISBN:9789814922845
1. Introduction.
PART I: DESCRIPTIVE STATISTICS.
2. Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs.
3. Measures of Central Tendency.
4. Measures of Variation.
5. The Normal Curve.
PART II: INFERENTIAL STATISTICS.
6. Introduction to Inferential Statistics: Sampling and the Sampling Distribution.
7. Estimation Procedures.
8. Hypothesis Testing I: The One-Sample Case.
9. Hypothesis Testing II: The Two-Sample Case.
10. Hypothesis Testing III: The Analysis of Variance.
11. Hypothesis Testing IV: Chi Square.
PART III: BIVARIATE MEASURES OF ASSOCIATION.
12. Bivariate Association for Nominal- and Ordinal-Level Variables.
13. Association Between Variables Measured at the Interval-Ratio Level.
PART IV: MULTIVARIATE TECHNIQUES.
14. Elaborating Bivariate Tables.
15. Partial Correlation and Multiple Regression and Correlation.
Appendix A: Area Under the Normal Curve.
Appendix B: Distribution of t.
Appendix C: Distribution of Chi Square.
Appendix D: Distribution of F.
Appendix E: Using Statistics: Ideas for Research Projects.
Appendix F: An Introduction to SPSS.
Appendix G: Codebooks for All Data Sets.