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Configural Frequency Analysis (CFA), Multiple Correspondence Analysis (MCA) and Latent Class Analysis (LCA): An empirical comparison
Configural Frequency Analysis (CFA) Multiple Correspondence Analysis (MCA) Latent Class Analysis (LCA) exploration and confirmation of types ontogenesis of types manifest and latent variable comparative interpretation of the methods software: LEM
2010/1/4
CFA, MCA and LCA are well known methods in categorical data analyses. In the present study CFA is applied as an instrument in terms of type exploration and confirmation. MCA and LCA are used by means ...
Child problem behavior in kindergarten and in primary school: A comparison between prediction configural frequency analysis and multiple regression
child behavior problems externalizing and internalizing problems prediction configural frequency analysis (P-CFA) multiple regression person-oriented approach
2009/12/31
This study compares a variable-oriented and a person-oriented analysis of the stability of child problem behavior from kindergarten to primary school. The sample contained 448 children from the Erlang...
A comparison of measures used for Configural Frequency Analysis of large, sparse cross-classifications
sparse table Configural Frequency Analysis residual statistics comparison Monte Carlo Study
2009/12/31
In this article, the measures relative risk, RR, transformed versions of Log P and Pearson’s, and an approximation of Log P are compared. The measures had been discussed by DuMouchel (1999) and von Ey...
Logistic regression and Prediction Configural Frequency Analysis – a comparison
Logistic regression prediction configural frequency analysis design matrix extended models model comparison
2009/12/31
Logistic regression (LR) and Prediction Configural Frequency Analysis (PCFA) are compared. First, the underlying statistical models are presented. Second, sample design matrices are created. Third, da...