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Using iMCFA to perform the CFA, Multilevel CFA, and maximum model for analyzing complex survey data
Jiun-Yu Wu
*
, Yuan Hsuan Lee
, John J.H. Lin
*
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教育研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Analysis Procedure
14%
Analytic Results
14%
CFA Model
100%
Complex Survey Data
100%
Confirmatory Analysis
100%
Estimation Method
14%
Factorial Structure
28%
Full Information Maximum Likelihood
14%
Hypothesized Model
14%
Intraclass Correlation Coefficient
14%
Limited Information
14%
LISREL
42%
MaxEnt Model
100%
Methodologists
14%
Model Comparison
14%
Model Interpretation
14%
Modeling Techniques
14%
Mplus
14%
Multi-group CFA
100%
Multilevel Model
14%
Multilevel Structure
28%
Statistical Strategy
14%
Survey Data
14%
Variance-covariance Matrix
14%
Engineering
Covariance Matrix
100%
Illustrates
100%
Maximum Likelihood
100%
Real Data
100%
Mathematics
Complex Structure
20%
Complex Survey Data
100%
Data Structure
20%
Estimation Method
20%
Factorials
40%
Intraclass Correlation
20%
Maximum Likelihood
20%
Model Comparison
20%
Multi-Level Modeling
20%
Real Data
20%
Simple Structure
20%
Survey Data
20%
Variance Covariance Matrix
20%
Psychology
Intraclass Correlation
100%
Multi-Level Modeling
100%
Agricultural and Biological Sciences
Covariance
100%