Statistical Methods for the Social Sciences / Edition 4

by Barbara Finlay, Alan Agresti

Overview

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. KEY TOPICS: The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

Product Details

ISBN-13:	9780205646418
Publisher:	Pearson
Publication date:	04/15/2008
Edition description:	New Edition
Pages:	624
Product dimensions:	8.10(w) x 10.00(h) x 1.10(d)

About the Author

About our author

Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 30 years, including the development of 3 courses in statistical methods for social science students and 3 courses in categorical data analysis. He is author of over 100 refereed article and 4 texts including Statistics: The Art and Science of Learning From Data (with Christine Franklin, Pearson, 4th edition 2017) and Categorical Data Analysis (Wiley, 3rd edition 2012). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 he was named Statistician of the Year by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide. He has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.

Table of Contents

1. Introduction
2. Sampling and Measurement
3. Descriptive Statistics
4. Probability Distributions
5. Statistical Inference: Estimation
6. Statistical Inference: Significance Tests
7. Comparison of Two Groups
8. Analyzing Association Between Categorical Variables
9. Linear Regression and Correlation
10. Introduction to Multivariate Relationships
11. Multiple Regression and Correlation
12. Comparing Groups: Analysis of Variance Methods
13. Combining Regression and ANOVA: Analysis of Covariance
14. Model Building with Multiple Regression
15. Logistic Regression: Modeling Categorical Responses
16. Introduction to Advanced Topics
Appendix: SAS and SPSS for Statistical Analyses
Tables
Answers to Selected Problems
Index.

Editorial Reviews

"This text is readable, understandable, and well-organized. It provides good examples with SPSS output." (Robert Wilson, University of Delaware).

"Overall, [Agresti/ Finlay] is a good book for introductory statistics that targets general audiences...it covers most topics you want to cover and allows the instructor to choose which topics to include." (Youqin Huang, State University of New York, Albany)

"I originally started using the Agresti/ Finlay book based on its reputation as "the class of the market", in terms of being unfailingly statistically correct and having a "modern" perspective. By "modern", I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae. It has met those expectations..." (Michael Lacey, Colorado State University)

"..the book has been a good and helpful resource for me in preparing the class notes and assigning homework qustions. The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. The book helps in this..." (Arne Bathke, University of Kentucky)

From the Publisher