Compassionate Statistics: Applied Quantitative Analysis for Social Services (With exercises and instructions in SPSS)
By: Vincent Faherty (author)Paperback
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Designed as a companion manual to mainstream methods textbooks, this text provides a comprehensive, yet pragmatic, resource for social service professionals to use standard descriptive and inferential statistical techniques in ways that are meaningful to them, to their social agencies, to their funding sources, and, ultimately, to their clients.
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.
Acknowledgments1. Introduction, Overview, and Nondefinitions2. Levels of Data: Nominal, Ordinal, and Scale3. Presenting Data in Tables4. Presenting Data in Figures5. The 3 Ms: Mean, Median, and Mode6. Standard Deviations, Ranges, and Quartiles7. Other Descriptive Statistics8. Probability and Statistical Significance9. Chi-Square Test of Independence10. Correlation: Scattergrams11. Correlation: Spearman's rho and Pearson's r12. t-Test for Paired Samples13. t-Test for Independent Samples14. One-Way Analysis of Variance (ANOVA) With Post Hoc Tests15. Nonparametric Alternatives to Common Parametric TestsAppendix A: Getting Started With SPSSAppendix B: SPSS Data SetsAppendix C: Outline of Common Univariate and Bivariate Statistical ProceduresAppendix D: Outline of Common Parametric and Nonparametric Inferential TestsAppendix E: Table of Random Numbers With InstructionsAppendix F: Glossary of TermsIndexAbout the Author
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