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Social Statistics for a Diverse Society
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Table of Contents

1. The What and the Why of Statistics 2. Organization of Information: Frequency Distributions 3. Graphic Presentation 4. Measures of Central Tendency 5. Measures of Variability 6. The Normal Distribution 7. Sampling and Sampling Distributions 8. Estimation 9. Testing Hypotheses 10. Relationships Between Two Variables: Cross-Tabulation 11. The Chi-Square Test 12. Measures of Association for Nominal and Ordinal Variables 13. Regression and Correlation 14. Analysis of Variance

About the Author

Chava Frankfort-Nachmias is an Emeritus Professor of Sociology at the University of Wisconsin-Milwaukee. She is the coauthor of Research Methods in the Social Sciences (with David Nachmias), coeditor of Sappho in the Holy Land (with Erella Shadmi) and numerous publications on ethnicity and development, urban revitalization, science and gender, and women in Israel. She was the recipient of the University of Wisconsin System teaching improvement grant on integrating race, ethnicity, and gender into the social statistics and research methods curriculum. She is also the coauthor (with Anna Leon-Guerrero) of Social Statistics for a Diverse Society. Anna Leon-Guerrero is a professor of sociology at Pacific Lutheran University in Tacoma, Washington. A recipient of the university's Faculty Excellence Award and the K. T. Tang Award for Excellence in Research, she teaches courses on statistics, sociological theory, and social problems. As a social service program evaluator and consultant, she has focused her research on welfare reform, employment strategies for the working poor, and program assessment. She is the coauthor of Social Statistics for a Diverse Society and Essentials of Social Statistics for a Diverse Society (with Chava Frankfort-Nachmias).

Reviews

This is a good book offering a very clear narrative. I believe it would be quite useful for students who are just starting to engage in statistical analysis. I think the strength of the book is definitely its structure - which is really good (I teaching the same order) and also the relative simplicity of explanations. I think this is a good BA level book. I also believe international MA students who have not engaged in any quantitative analysis may find it useful. I find the boxes with explanations very helpful and the illustrative pictograms make the statistical concept more visual and understandable. I would not adopt it as a core book for MA, but will include it in a list of suggested readings. The only issue I have is the relevance of the US examples to the British context where I teach. I think the irrelevance of the context might deter students from reading it. I think I will adopt some of the visual ways (boxes and graphs) to represent stats - perhaps in my lecture slides. -- Maria Karepova

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