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Statistics and data interpretation for the helping professions / James A. Rosenthal

By: Rosenthal, James A.
Publisher: Belmont, Calif. : Brooks/Cole,Thomson Learning, c2001Description: xix, 521 p. ; 24 cm.ISBN: 0830415092.Subject(s): Social sciences -- Statistical methods | Social service -- Statistical methods | StatisticsDDC classification: 001.422
Contents:
Ch. 20. The Chi-Square Test of Independence. Ch. 21. Analysis of Variance. Ch. 22. Selected Statistical Tests. Ch. 23. Generalizability, Importance, and a Data Interpretation Model. - Appendix A. Tables. - Appendix B. Review of Basic Maths. - Appendix C. Introductory Computer Exercise fir SPSS for Windows 10.0 - Appendix D. Description of Variables in data Set for End-of-Chapter Computer Exercises. - Appendix E. Appropriate Measures for Different Situations. - Appendix F. Answers to End-of Chapter Problems and Questions. - Appendix G. Symbols in the text. - Appendix H. Formulas in the Text. - References. - Index
Preface. - Pt. One. Introduction and the Presentation of Data. Ch.1. Introduction and Overview. Ch. 2. More Basics and the Presentation of Data. - Pt. Two. Descriptive Procedures for One Variable. Ch. 3. Central Tendency. Ch. 4. Variability. Ch. 5. Shape of deistribution and Important distributions. - Pt. Shape of Distribution and Important Distributions. - Pt. Three. Association Between Two Variables. Ch. 6. The Concept of Relationship and Relationship between Categorical Variables. Ch. 7. The odds Ratio and Other measures for Nominal-Level Variables. Ch. 8. Correlation and Regression. Ch. 9. More Measures of Size of Association. - Pt. Four. Causal and Noncausal Relationships. Ch. 10. The Assessment of Causality. Ch.11. Controlling for Confounding Variables. - Pt. Five. Inferential Statistics: Beginning Applications. Ch.12. An Introduction to Inferential Statistics. Ch. 13. Confidence Intervals for Means and Proportions. Ch. 14. The logic of Statistical Significance Tests. Ch. 15. The Large Sample Test of the Mean and New Concepts. Ch. 16. Statistical Power and Selected Topics. - Pt. Six. Selected Significance Tests and a Data Interpretation Model. Ch. 17. The t Distribution and One-Sample Procedures for Means. Ch. 18. Independent Samples test and Dependent Samples t Test. Ch 19. Single Sample Tests of Proportions.
Summary: [The author] makes the complexities of statistics understandable with step-by-step coverage of the basics and many practical case examples, exercises, and applications from the social work, human services, and counseling fields. In addition to statistical logic and tools, [readers will learn] how to decide whether one variable causes another, whether similar study results will be found in a new setting, and whether the results are important. - Back cover
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Main Collection Taylor's Library-TU

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 001.422 ROS (Browse shelf) 1 Available SLASx,05000,03,AD 5000001300

Ch. 20. The Chi-Square Test of Independence. Ch. 21. Analysis of Variance. Ch. 22. Selected Statistical Tests. Ch. 23. Generalizability, Importance, and a Data Interpretation Model. - Appendix A. Tables. - Appendix B. Review of Basic Maths. - Appendix C. Introductory Computer Exercise fir SPSS for Windows 10.0 - Appendix D. Description of Variables in data Set for End-of-Chapter Computer Exercises. - Appendix E. Appropriate Measures for Different Situations. - Appendix F. Answers to End-of Chapter Problems and Questions. - Appendix G. Symbols in the text. - Appendix H. Formulas in the Text. - References. - Index

Preface. - Pt. One. Introduction and the Presentation of Data. Ch.1. Introduction and Overview. Ch. 2. More Basics and the Presentation of Data. - Pt. Two. Descriptive Procedures for One Variable. Ch. 3. Central Tendency. Ch. 4. Variability. Ch. 5. Shape of deistribution and Important distributions. - Pt. Shape of Distribution and Important Distributions. - Pt. Three. Association Between Two Variables. Ch. 6. The Concept of Relationship and Relationship between Categorical Variables. Ch. 7. The odds Ratio and Other measures for Nominal-Level Variables. Ch. 8. Correlation and Regression. Ch. 9. More Measures of Size of Association. - Pt. Four. Causal and Noncausal Relationships. Ch. 10. The Assessment of Causality. Ch.11. Controlling for Confounding Variables. - Pt. Five. Inferential Statistics: Beginning Applications. Ch.12. An Introduction to Inferential Statistics. Ch. 13. Confidence Intervals for Means and Proportions. Ch. 14. The logic of Statistical Significance Tests. Ch. 15. The Large Sample Test of the Mean and New Concepts. Ch. 16. Statistical Power and Selected Topics. - Pt. Six. Selected Significance Tests and a Data Interpretation Model. Ch. 17. The t Distribution and One-Sample Procedures for Means. Ch. 18. Independent Samples test and Dependent Samples t Test. Ch 19. Single Sample Tests of Proportions.

[The author] makes the complexities of statistics understandable with step-by-step coverage of the basics and many practical case examples, exercises, and applications from the social work, human services, and counseling fields. In addition to statistical logic and tools, [readers will learn] how to decide whether one variable causes another, whether similar study results will be found in a new setting, and whether the results are important. - Back cover

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