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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 ...
Structural Equation Modeling (SEM) vs. Configural Frequency Analysis (CFA): An empirical approach
Structural Equation Modeling (SEM) Prediction Configural Frequency Analysis (P-CFA SEM model tetrachoric correlations asymptotic covariance matrix
2010/1/4
Structural Equation Modeling (SEM) denotes a group of statistical methods which are predominantly applied to metric scaled and normal distributed data. Recently SEM has often been applied to categoric...
The Detection of Types among Decathletes using Configural Frequency Analysis (CFA)
Athletics Configural Frequency Analysis CFA, Decathlon Factor Analysis Types
2009/12/31
The aim of this exploratory study was to detect among decathletes types of specialization with the help of a one sample configural frequency analysis (CFA). The sample consisted of the performances of...
Configural Frequency Analysis (CFA) and Latent Class Analysis (LCA): Are the outcomes complementary?
Configural Frequency Analysis (CFA) Latent Class Analysis (LCA) type-concept comparative analysis exploration of types software:lem
2009/12/31
The purpose of the present study was to compare the results of Configural Frequency Analysis (CFA) and solutions derived from Latent Class Analysis (LCA) to evaluate concordances and disconcordances r...