This introductory text clearly presents information on the analysis and interpretation of data generated by social workers in practice. It covers the nature of data, measures of variability, crosstabulation analysis, correlational methods, hypothesis testing, and multiple regression. Pertinent social work examples are used throughout.

Review

1. Introduction. 2. The Nature of Data. 3. Organization and Presentation of Data. 4. Data Reduction Techniques. 5. Measuring Variability. 6. Crosstabulation Analysis. 7. Correlational Methods. 8. Introduction to Hypothesis Testing. 9. Testing Hypotheses About Associations. 10. Testing Hypotheses About Means. 11. Multiple Correlation and Regression. 12. Non-Parametric Tests of Significance. Appendix A: Other Advanced Statistical Techniques.

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