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E-grāmata: Oxford Handbook of Quantitative Methods in Psychology, v. 1 [Oxford Handbooks Online E-books]

Edited by (Professor, Department of Psychology, Center for Research Methods and Data Analysis, University of Kansas, Lawrence, KS)
  • Formāts: 506 pages
  • Sērija : Oxford Library of Psychology
  • Izdošanas datums: 21-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199971299
  • Oxford Handbooks Online E-books
  • Cena pašlaik nav zināma
  • Formāts: 506 pages
  • Sērija : Oxford Library of Psychology
  • Izdošanas datums: 21-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199971299
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.
1 Introduction
1(6)
Todd D. Little
2 The Philosophy of Quantitative Methods
7(25)
Brian D. Haig
3 Quantitative Methods and Ethics
32(23)
Ralph L. Rosnow
Robert Rosenthal
4 Special Populations
55(27)
Keith F. Widaman
Dawnte R. Early
Rand D. Conger
5 Theory Construction, Model Building, and Model Selection
82(23)
James Jaccard
6 Teaching Quantitative Psychology
105(13)
Lisa L. Harlow
7 Modern Test Theory
118(26)
Roderick P. McDonald
8 The IRT Tradition and its Applications
144(26)
R.J. de Ayala
9 Survey Design and Measure Development
170(19)
Paul E. Spector
10 High-Stakes Test Construction and Test Use
189(17)
Neal M. Kingston
Laura B. Kramer
11 Effect Size and Sample Size Planning
206(17)
Ken Kelley
12 Experimental Design for Causal Inference: Clinical Trials and Regression Discontinuity Designs
223(14)
Kelly Hallberg
Coady Wing
Vivian Wong
Thomas D. Cook
13 Matching and Propensity Scores
237(23)
Peter M. Steiner
David Cook
14 Designs for and Analyses of Response Time Experiments
260(26)
Trisha Van Zandt
James T. Townsend
15 Observational Methods
286(19)
Jamie M. Ostrov
Emily J. Hart
16 A Primer of Epidemiologic Methods, Concepts, and Analysis with Examples and More Advanced Applications within Psychology
305(27)
David E. Bard
Joseph L. Rodgers
Keith E. Muller
17 Program Evaluation: Principles, Procedures, and Practices
332(29)
Aurelio Jose Figueredo
Sally Gayle Olderbak
Gabriel Lee Schlomer
Rafael Antonio Garcia
Pedro Sofio
Abril Wolf
18 Overview of Statistical Estimation Methods
361(27)
Ke-Hai Yuan
Christof Schuster
19 Robust Statistical Estimation
388(19)
David M. Erceg-Hurn
Rand R. Wilcox
Harvey J. Keselman
20 Bayesian Statistical Methods
407(31)
David Kaplan
Sarah Depaoli
21 Mathematical Modeling
438(16)
Daniel R. Cavagnaro
Jay I. Myung
Mark A. Pitt
22 Monte Carlo Analysis in Academic Research
454(26)
Paul E. Johnson
Index 480
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.