Statistical methods for the social sciences

Statistical methods for the social sciences

by Agresti, Alan

Type Book
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The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and…

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Title Statements

  • Full title :Statistical methods for the social sciences / Alan Agresti, Barbara Finlay.

Summary

The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

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Edition Statements

  • Publication Date:©2009.
  • Edition:4th ed

Publication Statements

  • Publisher(s):Pearson Prentice Hall
  • Place of Publication:Upper Saddle River, N.J
  • Language:eng
  • Publication Date:©2009.

The Physical Object

  • Description:xiii, 609 pages : : illustrations ; : 26 cm

Edition Identifiers

  • ISBN:9780130272959, 0130272957, 013713150X, 9780137131501, 9780205646418, 0205646417, 9780321656476, 0321656474
  • oclc:ocn173243875
  • LC Classification:QA276.12
  • Dewey Decimal:519.5

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 (ANOVA) Methods -- 13. Combining Regression and ANOVA: Quantitative and Categorical Predictors -- 14. Model Building with Multiple Regression -- 15. Logistic Regression: Modeling Categorical Responses -- 16. An Introduction to Advanced Methodology -- App. A. SPSS and SAS for Statistical Analyses -- App. B. Answers to Selected Odd-Numbered Exercises.

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