Publisher Description

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 a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educationalsciences.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 quantitativeresearch. 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 chapters associated 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.

Author Biography

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

Table of Contents

1. IntroductionTodd Little2. Overview of Traditional/Classical Statistical ApproachesBruce Thompson3. Generalized Linear ModelsStefany Coxe, Stephen G. West, and Leona S. Aiken4. Categorical MethodsCarol M. Woods5. Configural Frequency AnalysisAlexander von Eye, Eun-Young Mun, Patrick Mair, and Stefan von Weber6. Nonparametric Statistical TechniquesTrent D. Buskirk, Lisa M. Willoughby, and Terry T. Tomazic7. Correspondence AnalysisMichael J. Greenacre8. Spatial AnalysisLuc Anselin, Alan T. Murray, and Sergio J. Rey9. Analysis of Imaging DataLarry R. Price10. Quantitative Analysis of GenesSarah E. Medland11. Twin Studies and Behavior GeneticsGabriëlla A.M. Blokland, Miriam A. Mosing, Karin J.H. Verweij, and Sarah E. Medland12. Multidimensional ScalingCody S. Ding13. Latent Variable Measurement ModelsTimothy A. Brown14. Multilevel Regression and Multilevel Structural Equation ModelingJoop J. Hox15. Structural Equation ModelsJohn J. McArdle and Kelly M. Kadlec16. Developments in Mediation AnalysisDavid P. MacKinnon, Yasemin Kisbu-Sakarya, and Amanda C. Gottschall17. ModerationHerbert W. Marsh, Kit-Tai Hau, Zhonglin Wen, Benjamin Nagengast, and Alexandre J.S. Morin18. Longitudinal Data AnalysisWei Wu, James P. Selig, and Todd D. Little19. Dynamical Systems and Models of Continuous TimeDeboeck, P. R.20. Intensive Longitudinal DataTheodore A. Walls21. Dynamic Factor Analysis: Modeling Person-specific ProcessNilam Ram, Annette Brose, and Peter C. M. Molenaar22. Time Series AnalysisWilliam W.S. Wei23. Analyzing Event History DataTrond Peterson24. Clustering and ClassificationAndré A. Rupp25. Latent Class Analysis and Finite Mixture ModelingKatherine E. Masyn26. TaxometricsTheodore P. Beauchaine27. Missing Data MethodsAmanda N. Baraldi and Craig K. Enders28. Secondary Data AnalysisM. Brent Donnellan and Richard E. Lucas29. Data MiningCarolin Strobl30. Meta-analysis and Quantitative Research SynthesisNoel A. Card and Deborah M. Casper31. Common Fallacies in Quantitative Research MethodologyLihshing Leigh Wang, Amber S. Watts, Rawni A. Anderson, and Todd D. Little

Promotional

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.

Long Description

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 a one-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 chapters associated 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.

Feature

Selling point: Authoritative chapters address the historical origins as well as the recent developments of a given key topic.
Selling point: Chapters are multi-faceted and do not present one-sided views on any debate. Authors consider not only the strengths of the topic covered but also any limitations.
Selling point: The capstone methodology handbook in the OXFORD LIBRARY OF PSYCHOLOGY series.

Details