文档介绍：Applied Missing Data Analysis
Methodology in the Social Sciences
David A. Kenny, Founding Editor
Todd D. Little, Series Editor
This series provides applied researchers and students with analysis and research design books
that emphasize the use of methods to answer research questions. Rather than emphasizing
statistical theory, each volume in the series illustrates when a technique should (and should not)
be used and how the output from available software programs should (and should not) be
interpreted. Common pitfalls as well as areas of further development are clearly articulated.
SPECTRAL ANALYSIS OF TIME-SERIES DATA
a M. Warner
A PRIMER ON REGRESSION ARTIFACTS
Donald T. Campbell and David A. Kenny
REGRESSION ANALYSIS FOR CATEGORICAL MODERATORS
Herman Aguinis
HOW TO CONDUCT BEHAVIORAL RESEARCH OVER THE :
A Beginner’s Guide to HTML and CGI/Perl
R. Chris Fraley
CONFIRMATORY FACTOR ANALYSIS FOR APPLIED RESEARCH
Timothy A. Brown
DYADIC DATA ANALYSIS
David A. Kenny, Deborah A. Kashy, and William L. Cook
MISSING DATA: A Gentle Introduction
Patrick E. McKnight, Katherine M. McKnight, Souraya Sidani, and Aurelio José Figueredo
MULTILEVEL ANALYSIS FOR APPLIED RESEARCH: It’s Just Regression!
Robert Bickel
THE THEORY AND PRACTICE OF ITEM RESPONSE THEORY
R. J. de Ayala
THEORY CONSTRUCTION AND MODEL-BUILDING SKILLS:
A Practical Guide for Social Scientists
James ard and Jacob Jacoby
DIAGNOSTIC MEASUREMENT: Theory, Methods, and Applications
André A. Rupp, Jonathan Templin, and Robert A. Henson
APPLIED MISSING DATA ANALYSIS
Craig K. Enders
APPLIED MISSING
DATA ANALYSIS
Craig K. Enders
Series Editor’s Note by Todd D. Little
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