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E-grāmata: Oxford Handbook of Quantitative Methods in Psychology: Statistical Analysis, v. 2, Statistical Analysis [Oxford Handbooks Online E-books]

Edited by (Professor, Department of Psychology, Center for Research Methods and Data Analysis, University of Kansas, Lawrence, KS)
  • Formāts: 784 pages
  • Sērija : Oxford Library of Psychology
  • Izdošanas datums: 21-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199971305
Citas grāmatas par šo tēmu:
  • Oxford Handbooks Online E-books
  • Cena pašlaik nav zināma
  • Formāts: 784 pages
  • Sērija : Oxford Library of Psychology
  • Izdošanas datums: 21-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199971305
Citas grāmatas par šo tēmu:
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.
Oxford Library of Psychology vii
About the Editor ix
Contributors xi
Table of Contents
xvii
Chapter 1 Introduction
1(6)
Todd D. Little
Chapter 2 Overview of Traditional/Classical Statistical Approaches
7(19)
Bruce Thompson
Chapter 3 Generalized Linear Models
26(26)
Stefany Coxe
Stephen G. West
Leona S. Aiken
Chapter 4 Categorical Methods
52(22)
Carol M. Woods
Chapter 5 Configural Frequency Analysis
74(32)
Alexander von Eye
Eun-Young Mun
Patrick Mair
Stefan von Weber
Chapter 6 Nonparametric Statistical Techniques
106(36)
Trent D. Buskirk
Lisa M. Willoughby
Terry J. Tomazic
Chapter 7 Correspondence Analysis
142(12)
Michael J. Greenacre
Chapter 8 Spatial Analysis
154(21)
Luc Anselin
Alan T. Murray
Sergio J. Rey
Chapter 9 Analysis of Imaging Data
175(23)
Larry R. Price
Chapter 10 Twin Studies and Behavior Genetics
198(21)
Gabriella A. M. Blokland
Miriam A. Mosing
Karin J. H. Verweij
Sarah E. Medland
Chapter 11 Quantitative Analysis of Genes
219(16)
Sarah E. Medland
Chapter 12 Multidimensional Scaling
235(22)
Cody S. Ding
Chapter 13 Latent Variable Measurement Models
257(24)
Timothy A. Brown
Chapter 14 Multilevel Regression and Multilevel Structural Equation Modeling
281(14)
Joop J. Hox
Chapter 15 Structural Equation Models
295(43)
John J. McArdle
Kelly M. Kadlec
Chapter 16 Developments in Mediation Analysis
338(23)
David P. MacKinnon
Yasemin Kisbu-Sakarya
Amanda C. Gottschall
Chapter 17 Moderation
361(26)
Herbert W. Marsh
Kit-Tai Hau
Zhonglin Wen
Benjamin Nagengast
Alexandre J.S. Morin
Chapter 18 Longitudinal Data Analysis
387(24)
Wei Wu
James P. Selig
Todd D. Little
Chapter 19 Dynamical Systems and Models of Continuous Time
411(21)
Pascal R. Deboeck
Chapter 20 Intensive Longitudinal Data
432(9)
Theodore A. Walls
Chapter 21 Dynamic Factor Analysis: Modeling Person-Specific Process
441(17)
Nilam Ram
Annette Brose
Peter C. M. Molenaar
Chapter 22 Time Series Analysis
458(28)
William W.S. Wei
Chapter 23 Analyzing Event History Data
486(31)
Trond Petersen
Chapter 24 Clustering and Classification
517(34)
Andre A. Rupp
Chapter 25 Latent Class Analysis and Finite Mixture Modeling
551(61)
Katherine E. Masyn
Chapter 26 Taxometrics
612(23)
Theodore P. Beauchaine
Chapter 27 Missing Data Methods
635(30)
Amanda N. Baraldi
Craig K. Enders
Chapter 28 Secondary Data Analysis
665(13)
M. Brent Donnellan
Richard E. Lucas
Chapter 29 Data Mining
678(23)
Carolin Strobl
Chapter 30 Meta-Analysis and Quantitative Research Synthesis
701(17)
Noel A. Card
Deborah M. Casper
Chapter 31 Common Fallacies in Quantitative Research Methodology
718(41)
Lihshing Leigh Wang
Amber S. Watts
Rawni A. Anderson
Todd D. Little
Index 759
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.