Reporting Multiple-Group Mean and Covariance Structure Across Occasions With Structural Equation Modeling
Bibliographic Data
| ID | 12385644 |
|---|---|
| Authors | David Okech (0000-0002-0078-5093, University of Georgia, Athens, GA, USA, corresponding author) |
| Year | 2012 |
| Volume | 22 |
| Issue | 5 |
| Pages | 567-577 |
| Publication date | 2012-05-15 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research on Social Work Practice (JOURNAL) |
| Journal identifiers | ISSN: 1049-7315 • E-ISSN: 1552-7581 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/1049731512446709 |
| OpenAlex | W2059278561 |
| Language | EN |
| References cited | 38 |
Objectives: Using baseline and second wave data, the study evaluated the measurement and structural properties of parenting stress, personal mastery, and economic strain with N = 381 lower income parents who decided to join and those who did not join in a child development savings account program. Methods: Structural equation modeling mean and covariance structures was performed across groups and occasion was performed. Results: Measurement invariance was established across groups and across occasions. However, parenting stress differed across occasions. Conclusions: SEM methods are useful in testing theories as well as comparing manifest and latent structures of constructs across groups and occasions
Confirmatory factor analysis · Covariance · Developmental psychology · Econometrics · Group structure · Measurement invariance · Multilevel model · Statistics · Structural equation modeling · Child and Adolescent Psychosocial and Emotional Development · Early Childhood Education and Development · Gender, Labor, and Family Dynamics · Mathematics · Psychology · Social Psychology
Modeling Contextual Effects in Longitudinal Studies
A comparison of inclusive and restrictive strategies in modern missing data procedures.
A Non-arbitrary Method of Identifying and Scaling Latent Variables in SEM and Macs Models
Exploring the measurement invariance of psychological instruments
The Determinants of Parenting Behavior
Methods for Handling Missing Data
Planned missing data designs in psychological research.
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Missing Data Analysis
The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models
Cutoff criteria for fit indexes in covariance structure analysis
Measurement Invariance, Factor Analysis and Factorial Invariance
Missing data
How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory
Testing Structural Equation Models
Economic Stress, Coercive Family Process, and Developmental Problems of Adolescents
To Parcel or Not to Parcel
A Primer on the Use of Modern Missing-Data Methods in Psychosomatic Medicine Research
Mean and Covariance Structures (Macs) Analyses of Cross-Cultural Data
Satisfying a Simplex Structure is Simpler Than it Should Be
Structural Model Evaluation and Modification
A Systematic Review of Structural Equation Modelling in Social Work Research
Parental Self-Efficacy and Joining a Savings Program for Children’s Education
Evaluating the Effects of Child Savings Accounts Program Participation on Parental Well-Being
Economic pressure in African American families
Confirmatory factor analysis and item response theory
The use of causal indicators in covariance structure models
Significance tests and goodness of fit in the analysis of covariance structures
Comparative fit indexes in structural models
Principles and Practice of Structural Equation Modeling
The Parental Stress Scale
The Structure of Coping
Alternative Ways of Assessing Model Fit
Autoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions
Resilience in Midwestern Families
| Highly cited | No |
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