图书简介
The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work.35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.
1. Analysis of Variance: Between-Groups Designs Alan J. Klockars 2. Analysis of Variance: Repeated Measures Designs Lisa M. Lix and H.J. Keselman 3. Canonical Correlation Analysis Xitao Fan & Timothy R. Konold 4. Cluster Analysis Dena Pastor 5. Correlation and Other Measures of Association Jason W. Osborne 6. Discriminant Analysis Carl J. Huberty 7. Effect Sizes and Confidence Intervals Geoff Cumming and Fiona Fidler 8. Factor Analysis: Exploratory and Confirmatory Deborah L. Bandalos and Sara J. Finney 9. Generalizability Theory Amy Hendrickson and Ping Yin 10. Hierarchical Linear Modeling D. Betsy McCoach 11. Interrater Reliability William T. Hoyt 12. Item Response Theory R.J. De Ayala 13.Latent Class Analysis Karen M. Samuelsen and C. Mitchell Dayton 14. Latent Growth Curve Models Kristopher J. Preacher 15. Latent Transition Analysis David Rindskopf 16. Latent Variable Mixture Models Gitta Lubke 17. Logistic Regression Ann A. O?Connell and K. Rivet Amico 18. Log-Linear Analysis, Ronald C. Serlin and Michael A. Seaman 19. Meta-Analysis S. Natasha Beretvas 20. Multidimensional Scaling Mark L. Davison, Cody S. Ding and Se-Kang Kim 21. Multiple Regression Ken Kelley and Scott E. Maxwell 22. Multitrait-Multimethod Analysis Keith F. Widaman 23. Multivariate Analysis of Variance Stephen Olejnik 24. Power Analysis Kevin R. Murphy 25. Reliability and Validity of Instruments Thomas R. Knapp and Ralph O. Mueller 26. Research Design Sharon A. Dannels 27. Single-Subject Design and Analysis Andrew L. Egel and Christine H. Barthold 28. Structural Equation Modeling Ralph O. Mueller and Gregory R. Hancock 29. Structural Equation Modeling: Multisample Covariance and Mean Structures Richard G. Lomax 30. Survey Sampling, Administration, and Analysis Laura M. Stapleton 31. Survival Analysis Paul D. Allison
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