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The analysis of change with configural frequency analysis using different base models
Configural Frequency Analysis pre-post treatment designs contingency table analysis prediction table null hypothesis null models analysis of change
2010/1/4
Types or antitypes are based on significant deviations from the null hypothesis. Therefore, the meaning of types or antitypes depends on how the null hypothesis is specified. Here, three different bas...
Table-specific continuity corrections for Configural Frequency Analysis
Contingency table configural frequency analysis CFA search for types statistical test simulation, continuity correction
2010/1/4
This article presents new continuity corrections for six tests in Configural Frequency Analysis (CFA). For each table, the correction is a constant. The magnitude of this constant depends on character...
On the limits of Configural Frequency Analysis: Analyzing small tables
Configural Frequency Analysis (CFA) 2 x 2 tables base models first order CFA zero order CFA
2010/1/4
Configural Frequency Analysis (CFA) is known to be a useful tool for the exploration of contingency tables. Typical applications of CFA use tables of moderate size, that is, tables that are spanned by...
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...
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...
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...
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...
Configural Frequency Analysis of large sparse cross-classifications
sparse table Configural Frequency Analysis frequentist analysis Bayesian analysis
2009/12/31
This article discusses a new Configural Frequency Analysis (CFA) methodology for the analysis of large sparse cross-classifications. Following DuMouchel (1999), we propose (1) estimating indicators of...
Prediction models for Configural Frequency Analysis
Prediction Configural Frequency Analysis logit models design matrix
2009/12/31
In this article, we extend the discussion of prediction models of Configural Frequency Analysis (CFA). We build on the correspondence of such prediction models to logit models that was shown by 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...
Base models for Configural Frequency Analysis
Configural Frequency Analysis base model log-linear model cross-classification
2009/12/30
In this article, a grouping of base models for Configural Frequency Analysis (CFA) is proposed. Four groups are discussed. The first involves log-linear models and estimates expected cell frequencies ...