The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2: Statistical Analysis by Todd D. LittleThe Oxford Handbook of Quantitative Methods in Psychology: Vol. 2: Statistical Analysis by Todd D. Little

The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2: Statistical Analysis

EditorTodd D. Little

Hardcover | March 15, 2013

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Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods in Psychology is the complete tool box to deliver the most valid and generalizable answers to today's complex research questions. It is aone-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences.Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies.Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chaptersassociated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers 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.
Title:The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2: Statistical AnalysisFormat:HardcoverDimensions:736 pages, 10 × 7 × 0.98 inPublished:March 15, 2013Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199934894

ISBN - 13:9780199934898

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Table of Contents

1. Todd Little: Introduction2. Bruce Thompson: Overview of Traditional/Classical Statistical Approaches3. Stefany Coxe, Stephen G. West, and Leona S. Aiken: Generalized Linear Models4. Carol M. Woods: Categorical Methods5. Alexander von Eye, Eun-Young Mun, Patrick Mair, and Stefan von Weber: Configural Frequency Analysis6. Trent D. Buskirk, Lisa M. Willoughby, and Terry T. Tomazic: Nonparametric Statistical Techniques7. Michael J. Greenacre: Correspondence Analysis8. Luc Anselin, Alan T. Murray, and Sergio J. Rey: Spatial Analysis9. Larry R. Price: Analysis of Imaging Data10. Sarah E. Medland: Quantitative Analysis of Genes11. Gabrilla A.M. Blokland, Miriam A. Mosing, Karin J.H. Verweij, and Sarah E. Medland: Twin Studies and Behavior Genetics12. Cody S. Ding: Multidimensional Scaling13. Timothy A. Brown: Latent Variable Measurement Models14. Joop J. Hox: Multilevel Regression and Multilevel Structural Equation Modeling15. John J. McArdle and Kelly M. Kadlec: Structural Equation Models16. David P. MacKinnon, Yasemin Kisbu-Sakarya, and Amanda C. Gottschall: Developments in Mediation Analysis17. Herbert W. Marsh, Kit-Tai Hau, Zhonglin Wen, Benjamin Nagengast, and Alexandre J.S. Morin: Moderation18. Wei Wu, James P. Selig, and Todd D. Little: Longitudinal Data Analysis19. Deboeck, P. R.: Dynamical Systems and Models of Continuous Time20. Theodore A. Walls: Intensive Longitudinal Data21. Nilam Ram, Annette Brose, and Peter C. M. Molenaar: Dynamic Factor Analysis: Modeling Person-specific Process22. William W.S. Wei: Time Series Analysis23. Trond Peterson: Analyzing Event History Data24. Andr. A. Rupp: Clustering and Classification25. Katherine E. Masyn: Latent Class Analysis and Finite Mixture Modeling26. Theodore P. Beauchaine: Taxometrics27. Amanda N. Baraldi and Craig K. Enders: Missing Data Methods28. M. Brent Donnellan and Richard E. Lucas: Secondary Data Analysis29. Carolin Strobl: Data Mining30. Noel A. Card and Deborah M. Casper: Meta-analysis and Quantitative Research Synthesis31. Lihshing Leigh Wang, Amber S. Watts, Rawni A. Anderson, and Todd D. Little: Common Fallacies in Quantitative Research Methodology