Statistical Methods for the Social Sciences
International Edition
3rd Edition
Published on 18. December 1997
Book
Paperback/Softback
643 pages
978-0-13-622515-7 (ISBN)
Description
For an introductory course in statistics for undergraduate or graduate students in departments of sociology, political science, and psychology, geography, anthropology, journalism, and speech.
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. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises and make coverage more accessible throughout the text.
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. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises and make coverage more accessible throughout the text.
More details
Edition
3rd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 179 mm
Thickness: 27 mm
Weight
1016 gr
ISBN-13
978-0-13-622515-7 (9780136225157)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
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Content
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.
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.