The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for best practices in a quantitative methods across the social, behavioral, and educational sciences.
The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for best practices in a quantitative methods across the social, behavioral, and educational sciences.
Todd D. Little, Ph.D., is a Professor of Psychology, Director of the Quantitative Training Program, Director of the Undergraduate Social and Behavioral Sciences Methodology minor, and a member of the Developmental Training program
Inhaltsangabe
* 1. Introduction * Todd Little * 2. Overview of Traditional/Classical Statistical Approaches * Bruce Thompson * 3. Generalized Linear Models * Stefany Coxe, Stephen G. West, and Leona S. Aiken * 4. Categorical Methods * Carol M. Woods * 5. Configural Frequency Analysis * Alexander von Eye, Eun-Young Mun, Patrick Mair, and Stefan von Weber * 6. Nonparametric Statistical Techniques * Trent D. Buskirk, Lisa M. Willoughby, and Terry T. Tomazic * 7. Correspondence Analysis * Michael J. Greenacre * 8. Spatial Analysis * Luc Anselin, Alan T. Murray, and Sergio J. Rey * 9. Analysis of Imaging Data * Larry R. Price * 10. Quantitative Analysis of Genes * Sarah E. Medland * 11. Twin Studies and Behavior Genetics * Gabriëlla A.M. Blokland, Miriam A. Mosing, Karin J.H. Verweij, and Sarah E. Medland * 12. Multidimensional Scaling * Cody S. Ding * 13. Latent Variable Measurement Models * Timothy A. Brown * 14. Multilevel Regression and Multilevel Structural Equation Modeling * Joop J. Hox * 15. Structural Equation Models * John J. McArdle and Kelly M. Kadlec * 16. Developments in Mediation Analysis * David P. MacKinnon, Yasemin Kisbu-Sakarya, and Amanda C. Gottschall * 17. Moderation * Herbert W. Marsh, Kit-Tai Hau, Zhonglin Wen, Benjamin Nagengast, and Alexandre J.S. Morin * 18. Longitudinal Data Analysis * Wei Wu, James P. Selig, and Todd D. Little * 19. Dynamical Systems and Models of Continuous Time * Deboeck, P. R. * 20. Intensive Longitudinal Data * Theodore A. Walls * 21. Dynamic Factor Analysis: Modeling Person-specific Process * Nilam Ram, Annette Brose, and Peter C. M. Molenaar * 22. Time Series Analysis * William W.S. Wei * 23. Analyzing Event History Data * Trond Peterson * 24. Clustering and Classification * André A. Rupp * 25. Latent Class Analysis and Finite Mixture Modeling * Katherine E. Masyn * 26. Taxometrics * Theodore P. Beauchaine * 27. Missing Data Methods * Amanda N. Baraldi and Craig K. Enders * 28. Secondary Data Analysis * M. Brent Donnellan and Richard E. Lucas * 29. Data Mining * Carolin Strobl * 30. Meta-analysis and Quantitative Research Synthesis * Noel A. Card and Deborah M. Casper * 31. Common Fallacies in Quantitative Research Methodology * Lihshing Leigh Wang, Amber S. Watts, Rawni A. Anderson, and Todd D. Little
* 1. Introduction * Todd Little * 2. Overview of Traditional/Classical Statistical Approaches * Bruce Thompson * 3. Generalized Linear Models * Stefany Coxe, Stephen G. West, and Leona S. Aiken * 4. Categorical Methods * Carol M. Woods * 5. Configural Frequency Analysis * Alexander von Eye, Eun-Young Mun, Patrick Mair, and Stefan von Weber * 6. Nonparametric Statistical Techniques * Trent D. Buskirk, Lisa M. Willoughby, and Terry T. Tomazic * 7. Correspondence Analysis * Michael J. Greenacre * 8. Spatial Analysis * Luc Anselin, Alan T. Murray, and Sergio J. Rey * 9. Analysis of Imaging Data * Larry R. Price * 10. Quantitative Analysis of Genes * Sarah E. Medland * 11. Twin Studies and Behavior Genetics * Gabriëlla A.M. Blokland, Miriam A. Mosing, Karin J.H. Verweij, and Sarah E. Medland * 12. Multidimensional Scaling * Cody S. Ding * 13. Latent Variable Measurement Models * Timothy A. Brown * 14. Multilevel Regression and Multilevel Structural Equation Modeling * Joop J. Hox * 15. Structural Equation Models * John J. McArdle and Kelly M. Kadlec * 16. Developments in Mediation Analysis * David P. MacKinnon, Yasemin Kisbu-Sakarya, and Amanda C. Gottschall * 17. Moderation * Herbert W. Marsh, Kit-Tai Hau, Zhonglin Wen, Benjamin Nagengast, and Alexandre J.S. Morin * 18. Longitudinal Data Analysis * Wei Wu, James P. Selig, and Todd D. Little * 19. Dynamical Systems and Models of Continuous Time * Deboeck, P. R. * 20. Intensive Longitudinal Data * Theodore A. Walls * 21. Dynamic Factor Analysis: Modeling Person-specific Process * Nilam Ram, Annette Brose, and Peter C. M. Molenaar * 22. Time Series Analysis * William W.S. Wei * 23. Analyzing Event History Data * Trond Peterson * 24. Clustering and Classification * André A. Rupp * 25. Latent Class Analysis and Finite Mixture Modeling * Katherine E. Masyn * 26. Taxometrics * Theodore P. Beauchaine * 27. Missing Data Methods * Amanda N. Baraldi and Craig K. Enders * 28. Secondary Data Analysis * M. Brent Donnellan and Richard E. Lucas * 29. Data Mining * Carolin Strobl * 30. Meta-analysis and Quantitative Research Synthesis * Noel A. Card and Deborah M. Casper * 31. Common Fallacies in Quantitative Research Methodology * Lihshing Leigh Wang, Amber S. Watts, Rawni A. Anderson, and Todd D. Little
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