Principles and practice of structural equation modeling by Rex B. Kline

By:

Kline, Rex B

9781462523344

Subject(s):

DDC classification:

519.535 KLI

Contents:

Part I. Concepts and tools -- Coming of age -- Regression fundamentals -- Significance testing and bootstrapping -- Data preparation and psychometrics review -- Computer tools -- Part II. Specification and identification -- Specification of observed variable (path) models -- Identification of observed-variable (path) models -- Graph theory and the structural causal model -- Specification and identification of confirmatory factor analysis models -- Specification and identification of structural regression models -- Part III. Analysis -- Estimation and local fit testing -- Global fit testing -- Analysis of confirmatory factor analysis models -- Analysis of structural regression models -- Part IV. Advanced techniques and best practices -- Mean structures and latent growth models -- Multiple-samples analysis and measurement invariance -- Interaction effects and multilevel structural equation modeling -- Best practices in structural equation modeling.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam	519.535 KLI (Browse shelf(Opens below))	Checked out	03/31/2024	001619
Book	Indian Institute of Management Visakhapatnam General Stacks	519.535 KLI (Browse shelf(Opens below))	Available		000840

Part I. Concepts and tools --
Coming of age --
Regression fundamentals --
Significance testing and bootstrapping --
Data preparation and psychometrics review --
Computer tools --
Part II. Specification and identification --
Specification of observed variable (path) models --
Identification of observed-variable (path) models --
Graph theory and the structural causal model --
Specification and identification of confirmatory factor analysis models --
Specification and identification of structural regression models --
Part III. Analysis --
Estimation and local fit testing --
Global fit testing --
Analysis of confirmatory factor analysis models --
Analysis of structural regression models --
Part IV. Advanced techniques and best practices --
Mean structures and latent growth models --
Multiple-samples analysis and measurement invariance --
Interaction effects and multilevel structural equation modeling --
Best practices in structural equation modeling.

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