by Gregory R. Hancock (Editor), Ralph O. Mueller (Editor)
2013年最新修订版,目前全网最新最佳版本!
非扫描PDF格式,强烈申精!
Series: Quantitative Methods in Education and the Behavioral Science
Paperback: 702 pages
Publisher: Information Age Publishing; 2nd Revised ed. edition (March 1, 2013)
Contents
Acknowledgements................................................................................xi
Preface..................................................................................................xiii
SeriesIntroduction............................................................................xvii
Introduction to the Second Edition of StructuralEquation
Modeling: A Second Course.....................................................................xix
Gregory R. Hancock and Ralph O. Mueller
Part I
Foundations
1 TheProblem of Equivalent Structural Models.................................... 3
Scott L. Hershberger and George A.Marcoulides
2 ReverseArrow Dynamics: Feedback Loops and Formative
Measurement........................................................................................41
Rex B. Kline
3 PartialLeast Squares Path Modeling..................................................81
Edward E. Rigdon
4 PowerAnalysis in Structural Equation Modeling.............................117
Gregory R. Hancock and Brian F. French
Part I I
Extensions
5 EvaluatingBetween-Group Differences in Latent Variable Means.....163
Marilyn S. Thompson and Samuel B. Green
6 ConditionalProcess Modeling: Using Structural Equation
Modeling to Examine Contingent CausalProcesses....................... 219
Andrew F. Hayes and Kristopher J.Preacher
7 StructuralEquation Models of Latent Interaction and
QuadraticEffects...............................................................................267
Herbert W. Marsh, Zhonglin Wen, Kit-TaiHau, and Benjamin Nagengast
8 UsingLatent Growth Modeling to Evaluate
LongitudinalChange.........................................................................309
Gregory R. Hancock, Jeffrey R. Harring,and Frank R. Lawrence
9 Mean andCovariance Structure Mixture Models........................... 343
Dena A. Pastor and Phill Gagné
10 ExploratoryStructural Equation Modeling..................................... 395
Alexandre J. S. Morin, Herbert W. Marsh,and Benjamin Nagengast
Part I I I
Assumptions
11 Nonnormaland Categorical Data in Structural
EquationModeling.............................................................................439
Sara J. Finney and Christine DiStefano
12 AnalyzingStructural Equation Models with Missing Data............. 493
Craig K. Enders
13 MultilevelStructural Equation Modeling with Complex
SampleData........................................................................................521
Laura M. Stapleton
14 BayesianStructural Equation Modeling........................................... 563
Roy Levy and Jaehwa Choi
15 Use of Monte Carlo Studies inStructural Equation Modeling
Research..............................................................................................625
Deborah L. Bandalos and Walter Leite
AbouttheContributors......................................................................667