Compassionate Statistics: Applied Quantitative Analysis for Social Services (With exercises and instructions in SPSS) / Edition 1

by Vincent Faherty

Overview

Compassionate Statistics: Applied Quantitative Analysis for Social Services (With Instructions for SPSS 14.0) is an attempt to "de-mythologize" a content area that is both essential for professional social service practitioners, yet dreaded by some of the most experienced among them. Using friendly, straightforward language as well as concrete illustrations and exercises from social service practice, author Vincent E. Faherty catapults students and experienced professionals to a pragmatic level where they can handle quantitative analysis for all their research and evaluation needs.

Product Details

ISBN-13:	9781412939829
Publisher:	SAGE Publications
Publication date:	07/26/2007
Edition description:	New Edition
Pages:	336
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Vincent Faherty earned his doctorate in Social Work (DSW) from the University of Utah in 1976. He also holds a Master of Business Administration degree (MBA) from the International Management Institute of the University of Geneva (1985), a Master of Social Work degree from Fordham University (1970), and a Bachelor of Arts degree from Cathedral College & Seminary (1958). He has taught statistics and social work research methods for the past 18 years at the University of Southern Maine. Prior to that, he taught at the University of Northern Iowa and at the University of Columbia-Missouri.

Table of Contents

Acknowledgments
1. Introduction, Overview, and Nondefinitions
2. Levels of Data: Nominal, Ordinal, and Scale
3. Presenting Data in Tables
4. Presenting Data in Figures
5. The 3 Ms: Mean, Median, and Mode
6. Standard Deviations, Ranges, and Quartiles
7. Other Descriptive Statistics
8. Probability and Statistical Significance
9. Chi-Square Test of Independence
10. Correlation: Scattergrams
11. Correlation: Spearman's rho and Pearson's r
12. t-Test for Paired Samples
13. t-Test for Independent Samples
14. One-Way Analysis of Variance (ANOVA) With Post Hoc Tests
15. Nonparametric Alternatives to Common Parametric Tests
Appendix A: Getting Started With SPSS
Appendix B: SPSS Data Sets
Appendix C: Outline of Common Univariate and Bivariate Statistical Procedures
Appendix D: Outline of Common Parametric and Nonparametric Inferential Tests
Appendix E: Table of Random Numbers With Instructions
Appendix F: Glossary of Terms
Index
About the Author