- Browse
- » The Oxford handbook of quantitative methods
The Oxford handbook of quantitative methods
Publisher
Oxford University Press
Publication Date
2014.
Language
English
Description
Loading Description...
Table of Contents
From the Book
Volume 1. Foundations. Introduction / Todd D. Little The philosophy of quantitative methods / Brian D. Haig Quantitative methods and ethics / Ralph L. Rosnow and Robert Rosenthal Special populations / Keith F. Widaman, Dawnté R. Early, and Rand D. Conger Theory construction, model building, and model selection / James Jaccard Teaching quantitative psychology / Lisa L. Harlow Modern test theory / Roderick P. McDonald The IRT tradition and its applications / R.J. de Ayala Survey design and measure development / Paul E. Spector High-stakes test construction and test use / Neal M. Kingston and Laura B. Kramer Effect size and sample size planning / Ken Kelley Experimental design for causal inference : clinical trials and regression discontinuity designs / Kelly Hallberg, Coady Wing, Vivian Wong, and Thomas D. Cook Matching and propensity scores / Peter M. Steiner and David Cook Designs for and analyses of response time experiments / Trisha Van Zandt and James T. Townsend Observational methods / Jamie M. Ostrov and Emily J. Hart 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 Program evaluation : principles, procedures, and practices / Aurelio Jose Figueredo, Sally Gayle Olderbak, Gabriel Lee Schlomer, Rafael Antonio Garcia, and Pedro Sofio Abril Wolf Overview of statistical estimation mehtods / Ke-Hai Yan and Christof Schuster Robust statistical estimation / David M. Erceg-Hurn, Rand R. Wilcox, and Harvey J. Keselman Bayesian statistical methods / David Kaplan and Sarah Depaoli Mathematical modeling / Daniel R. Cavagnaro, Jay I. Myung, and Mark A. Pitt Monte Carlo analysis in academic research / Paul E. Johnson Network analysis : a definitional guide to important concepts / Harold D. Green, Jr. and Stanley Wasserman
Volume 2. Statistical Analysis. Introduction / Todd D. Little
Overview of traditional/classical statistical approaches / Bruce Thompson
Generalized linear models / Stefany Coxe, Stephen G. West, and Leona S. Aiken
Categorical methods / Carol M. Woods
Configural frequency analysis / Alexander von Eye, Eun-Young Mun, Patrick Mair, and Stefan von Weber
Nonparametric statistical techniques / Trent D. Buskirk, Lisa M. Willoughby, and Terry J. Tomazic
Correspondence analysis / Michael J. Greenacre
Spatial analysis / Luc Anselin, Alan T. Murray, and Sergio J. Rey
Analysis of imaging data / Larry R. Price
Twin studies and behavior genetics / Gabriella A.M. Blokland, Miriam A. Mosing, Karin J.H. Verweij, and Sarah E. Medland
Quantitative analysis of genes / Sarah E. Medland
Multidimensional scaling / Cody S. Ding
Latent variable measurement models / Timothy A. Brown
Multilevel regression and multilevel structural equation modeling / Joop J. Hox
Structural equation models / John J. McArdle and Kelly M. Kadlec
Developments in mediation analysis / David P. MacKinnon, Yasemin Kisbu-Sakarya, and Amanda C. Gottschall
Moderation / Herbert W. Marsh, Kit-Tai Hau, Zhonglin Wen, Benjamin Nagengast, and Alexandre J.S. Morin
Longitudinal data analysis / Wei Wu, James P. Selig, and Todd D. Little
Dynamical systems and models of continuous time / Pascal R. Deboeck
Intensive longitudinal data / Theodore A. Walls
Dynamic factor analysis : modeling person-specific process / Nilan Ram, Annette Brose, and Peter C.M. Molenaar
Time series analysis / William W.S. Wei
Analyzing event history data / Trond Petersen
Clustering and classification / André A. Rupp
Latent class analysis and finite mixture modeling / Katherine E. Masyn
Taxometrics / Theodore P. Beauchaine
Missing data methods / Amanda N. Baraldi and Craig K. Enders
Secondary data analysis / M. Brent Donnellan and Richard E. Lucas
Data mining / Carolin Strobl
Meta-analysis and quantitative research synthesis / Noel A. Card and Deborah M. Casper
Common fallacies in quantitative research methodology / Lihshing Leigh Wang, Amber S. Watts, Rawni A. Anderson, and Todd D. Little.
Excerpt
Loading Excerpt...
Author Notes
Loading Author Notes...
More Details
Contributors
Little, Todd D. editor
ISBN
9780199370177
97801993701602
9780199370153
01993701682
97801993701531
97801993701602
9780199370153
01993701682
97801993701531
Staff View
Loading Staff View.

