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Longitudinal structural equation modeling

Longitudinal structural equation modeling (Loan 16 times)

Material type
단행본
Personal Author
Little, Todd D.
Title Statement
Longitudinal structural equation modeling / Todd D. Little.
Publication, Distribution, etc
New York :   Guilford Press,   2013.  
Physical Medium
xxii, 385 p. : ill. ; 27 cm.
Series Statement
Methodology in the social sciences
ISBN
9781462510160 (hardcover : alk. paper)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Social sciences -- Statistical methods. Longitudinal method.
000 00974camuu2200289 a 4500
001 000045751875
005 20130521104559
008 130516s2013 nyua b 001 0 eng
010 ▼a 2013002924
020 ▼a 9781462510160 (hardcover : alk. paper)
035 ▼a (KERIS)REF000017052494
040 ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d 211009
050 0 0 ▼a HA29 ▼b .L83175 2013
082 0 0 ▼a 001.4/33 ▼2 23
084 ▼a 001.433 ▼2 DDCK
090 ▼a 001.433 ▼b L778L
100 1 ▼a Little, Todd D.
245 1 0 ▼a Longitudinal structural equation modeling / ▼c Todd D. Little.
260 ▼a New York : ▼b Guilford Press, ▼c 2013.
300 ▼a xxii, 385 p. : ▼b ill. ; ▼c 27 cm.
490 1 ▼a Methodology in the social sciences
504 ▼a Includes bibliographical references and index.
650 0 ▼a Social sciences ▼x Statistical methods.
650 0 ▼a Longitudinal method.
830 0 ▼a Methodology in the social sciences.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 001.433 L778L Accession No. 111694966 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

PROLOGUE
* A personal introduction and what to expect
How statistics came into my life
My approach to the book
Key features of the book
Overview of the book
* Datasets and measures used
My dataset with the Inventory Felt Energy and Emotion in Life (I FEEL) measure
     The I FEEL
Gallagher and Johnson's MIDUS example
     Neuroticism
     Negative affect
Dorothy Espelage's bullying and victimization examples
     Peer victimization
     Substance use
     Family conflict
     Family closeness
     Bullying
     Homophobic teasing
* Overdue gratitude
* Prophylactic apologies
1.  OVERVIEW AND SEM FOUNDATIONS
* An overview of the conceptual foundations of SEM
Concepts, constructs, and indicators
From concepts to constructs to indicators to good models
* Sources of variance in measurement
Classical test theorem
Expanding classical test theorem
* Characteristics of indicators and constructs
Types of indicators and constructs
Categorical versus metrical indicators and constructs
Types of correlation coefficients that can be modeled
* A simple taxonomy of indicators and their roles
* Rescaling variables
* Parceling
* What changes and how?
* Some advice for SEM programming
* Philosophical issues and how I approach research
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
2.  DESIGN ISSUES IN LONGITUDINAL STUDIES
* Timing of measurements and conceptualizing time
Cross-sectional design
Single-cohort longitudinal design
Cross-sequential design
Cohort-sequential design
Time-sequential design
Other validity concerns
Temporal design
Lags within the interval of measurement
Episodic and Experiential Time
* Missing data imputation and planned missing designs
Missing data mechanisms
Recommendations and caveats
Planned missing data designs in longitudinal research
* Modeling developmental processes in context
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
3.  THE MEASUREMENT MODEL
* Drawing and labeling conventions
* Defining the parameters of a construct
* Scale setting
* Identification
* Adding means to the model: Scale setting and identification with means
* Adding a longitudinal component to the CFA model
* Adding phantom constructs to the CFA model
* Summary
* Key terms and concepts introduced in this chapter
* Recommended Readings
4.  MODEL FIT, SAMPLE SIZE, AND POWER
* Model fit and types of fit indices
Statistical rationale
Modeling rationale
The longitudinal null model
Summary and cautions
* Sample Size
* Power
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
5.  THE LONGITUDINAL CFA MODEL
* Factorial invariance
* A small (nearly perfect) data example
Configural factorial invariance
Weak factorial invariance
Strong factorial invariance
Evaluating invariance constraints
Model modification
Partial invariance
* A larger example followed by tests of the latent construct relations
Testing the latent construct parameters
* An application of a longitudinal SEM to a repeated-measures experiment
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
6.  SPECIFYING AND INTERPRETING A LONGITUDINAL PANEL MODEL
* Basics of a panel model
* The basic simplex change process
* Building a panel model
Covariate/control variables
Building the panel model of positive and negative affect
* Illustrative examples of panel models
A simplex model of cognitive development
Two simplex models of non-longitudinal data
A panel model of bullying and homophobic teasing
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
7.  MULTIPLE-GROUP MODELS
* Multiple-group longitudinal SEM
Step 1: Estimate missing data and evaluate the descriptive statistics
Step 2: Perform any supplemental analysis to rule out potential confounds
Step 3: Fit an appropriate multiple-group longitudinal null model
Step 4: Fit the configurally invariant model across time and groups
Step 5: Test for weak factorial (loadings) invariance
Step 6: Test for strong factorial invariance
Step 7: Test for mean-level differences in the latent constructs
Step 8: Test for the homogeneity of the variance–covariance matrix among the latent constructs
Step 9: Test the longitudinal SEM model in each group
* A dynamic p-technique multiple-group longitudinal model
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
8.  MULTILEVEL GROWTH CURVES AND SEM
* Longitudinal growth curve model
* Multivariate growth curve models
* Multilevel longitudinal model
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
9.  MEDIATION AND MODERATION
* Making the distinction between mediators and moderators
Cross-sectional mediation
Half-longitudinal mediation
Full longitudinal mediation
* Moderation
* Summary
* Key terms and concepts introduced in this chapter
* Recommended readings
10.  JAMBALAYA: COMPLEX CONSTRUCT REPRESENTATIONS AND DECOMPOSITIONS
* Multitrait-multimethod models
* Pseudo-MTMM models
* Bifactor and higher order factor models
* Contrasting different variance decompositions
* Digestif
* Key terms and concepts introduced in this chapter
* Recommended readings


Information Provided By: : Aladin

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