The Oxford Handbook of Quantitative Methods in Psychology, Vol. 1
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The Oxford Handbook of Quantitative Methods in Psychology, Vol. 1: (Oxford Library of Psychology)

The Oxford Handbook of Quantitative Methods in Psychology, Vol. 1: (Oxford Library of Psychology)


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About the Book

Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods 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.

Table of Contents:
1. Introduction Todd Little 2. The Philosophy of Quantitative Methods Brian D. Haig 3. Quantitative Methods and Ethics Ralph L. Rosnow and Robert Rosenthal 4. Special Populations Keith F. Widaman, Dawnté R. Early, and Rand D. Conger 5. Theory Construction, Model Building, and Model Selection James Jaccard 6. Teaching Quantitative Psychology Lisa L. Harlow 7. Modern Test Theory R. P. McDonald 8. The IRT Tradition and its Applications R.J. de Ayala 9. Survey Design and Measure Development Paul E. Spector 10. High Stakes Test Construction and Test Use Neal M. Kingston and Laura B. Kramer 11. Effect Size and Sample Size Planning Ken Kelley 12. Experimental Design for Causal Inference: Clinical Trials and Regression Discontinuity Designs Kelly Hallberg, Coady Wing, Vivian Wong, and Thomas D. Cook 13. Matching and Propensity Scores Peter M. Steiner and David Cook 14. Designs for and Analyses of Response Time Experiments Trisha Van Zandt and James T. Townsend 15. Observational Methods Jamie M. Ostrov and Emily J. Hart 16. A Primer of Epidemiologic Methods, Concepts, and Analysis with Examples and More Advanced Applications within Psychology David E. Bard, Joseph L. Rodgers, and Keith E. Muller 17. Program Evaluation: Principles, Procedures, and Practices Aurelio José Figueredo, Sally Gayle Olderbak, Gabriel Lee Schlomer, Rafael Antonio Garcia, and Pedro Sofio Abril Wolf 18. Overview of Statistical Estimation Methods Ke-Hai Yuan and Christof Schuster 19. Robust Statistical Estimation David M. Erceg-Hurn, Rand R. Wilcox, and Harvey J. Keselman 20. Bayesian Statistical Methods David Kaplan and Sarah Depaoli 21. Mathematical Modeling Daniel R. Cavagnaro, Jay I. Myung, and Mark A. Pitt 22. What Would Happen If...? Monte Carlo Analysis in Academic Research P. E. Johnson

About the Author :
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.


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Product Details
  • ISBN-13: 9780199934874
  • Publisher: Oxford University Press Inc
  • Publisher Imprint: Oxford University Press Inc
  • Height: 187 mm
  • No of Pages: 506
  • Spine Width: 29 mm
  • Width: 260 mm
  • ISBN-10: 0199934878
  • Publisher Date: 21 Mar 2013
  • Binding: Hardback
  • Language: English
  • Series Title: Oxford Library of Psychology
  • Weight: 1187 gr


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