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Statistical Methods for the Social Sciences: International Edition

Statistical Methods for the Social Sciences: International Edition

          
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About the Book

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds - one a statistician, the other a social scientist - to introduce statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. *NEW-Introduces modern ways of analyzing data-such as following up a chi-squared test with a residual analysis and describing association using odds ratios (Ch. 8). *NEW-Includes new material on repeated measurement analyses through a mixed model in the ANOVA chapter 12. *NEW-Chapter 14 includes a discussion of regression diagnostics and concludes with an introduction to generalized linear models. *NEW-Expanded coverage of logistic regression, including a discussion of a generalized logit model for ordinal data-a topic not yet explored in other texts (Ch. 15). *NEW-Repositions coverage of model building to provide an earlier presentation of analysis of variance. *NEW-Greater emphasis on using statistical software in place of manual computations. *NEW-Offers more frequent, thorough examples and a stronger emphasis on applications and "real data" in both examples and problems. *NEW-Total number of problems increased by 25%, providing many new data analysis problems. *Provides coverage that is technically accurate yet presented with an accessible, non-technical approach. *Downplays the use of formulaic calculations, emphasizing concepts, interpretations and the use of computer software for conducting analyses. *Splits coverage into introductory and more advanced material, offering enough coverage for both undergraduate- and graduate-level courses. *Reflects the latest topics in the field, including coverage of many new methods rarely treated in other texts, such as...*Residuals and odds ratios for contingency tables (Ch. 8). *Regression diagnostics (Ch. 14). *Logistic regression and ordinal regression (Ch. 15). *De-emphasizes probability-a stumbling block for many students-to concentrate on data analyses that students will see as relevant for social scientists. *Integrates statistical inference early in the text to emphasize the interrelationship between the descriptive and inferential components of statistics. *Emphasizes estimation methods as well as hypothesis testing for statistical inference. *Reinforces and challenges newly acquired skills through worked examples and over 600 real data based problems.

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.


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Product Details
  • ISBN-13: 9780136225157
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Edition: 3 International ed
  • Language: English
  • Returnable: Y
  • Sub Title: International Edition
  • Width: 179 mm
  • ISBN-10: 0136225152
  • Publisher Date: 18 Dec 1997
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 643
  • Spine Width: 27 mm
  • Weight: 1016 gr


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