The Oxford Handbook of Quantitative Methods in Psychology, Vol. 1

Author:   Todd D. Little (Professor, Professor, Department of Psychology, Center for Research Methods and Data Analysis, University of Kansas, Lawrence, KS)
Publisher:   Oxford University Press Inc
ISBN:  

9780199934874


Pages:   506
Publication Date:   21 March 2013
Replaced By:   9780195342802
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $401.00 Quantity:  
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The Oxford Handbook of Quantitative Methods in Psychology, Vol. 1


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Author:   Todd D. Little (Professor, Professor, Department of Psychology, Center for Research Methods and Data Analysis, University of Kansas, Lawrence, KS)
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 26.00cm , Height: 2.90cm , Length: 18.70cm
Weight:   1.057kg
ISBN:  

9780199934874


ISBN 10:   0199934878
Pages:   506
Publication Date:   21 March 2013
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Replaced By:   9780195342802
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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, Dawnte 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 Jose 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

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Author Information

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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