Results 181 to 190 of about 4,536 (235)
A Bayesian approach to configural frequency analysis [PDF]
Journal of Mathematical Sociology, 2000 Configural Frequency Analysis (CFA) is a method for cell‐wise inspection of cross‐classifications. CFA searches for types, that is, patterns of variable categories that occur more often than expected from some chance model, and for antitypes, that is, patterns observed less often than expected.
Alexander Von Eye +1 more
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Concepts of nonindependence in Configural Frequency Analysis [PDF]
Journal of Mathematical Sociology, 1995 Configural Frequency Analysis (CFA) is a method for cell‐wise testing in contingency tables whether some model is contradicted. Goals of CFA include the identification of groups of cases that occur at higher (or lower) rates than expected from some model. These groups are then interpreted from a typological perspective.
Alexander Von Eye, Christiane Spiel
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Personality classification agreement identified by configural frequency analysis [PDF]
Personality and Individual Differences, 1990 Abstract Agreement tables are defined as squares rxr contingency tables with identical row and column categorial variables. It is proposed to test for categorial agreement cellwise by configural frequency analysis, rather than globally by Cohen's K coefficient.
Lienert, G.A. +2 more
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An Application of Configural Frequency Analysis
Swiss Journal of Psychology, 2013Development of class reasoning was investigated using configural frequency analysis (CFA). We administered class inclusion, vicariant inclusion, and law of duality tasks to a sample of 540 Chinese second through fifth graders. In each task, children were asked to compare two classes and make a choice from four alternative answers while the number of ...
Ziqiang Xin, Chongde Lin
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Configural Frequency Analysis as a Statistical Tool for Developmental Research [PDF]
Educational and Psychological Measurement, 1985 Configural frequency analysis (CFA) is suggested as a technique for longitudinal research in developmental psychology. Stability and change in answers to multiple choice items and in Yes-No item-patterns obtained with measurements repeated two or three times are identified by CFA and illustrated by developmental analysis of an item from Gorham's ...
Gustav A. Lienert, Hans Zur Oeveste
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Prediction Models in Configural Frequency Analysis [PDF]
Biometrical Journal, 1979 AbstractConfigural frequency analysis models are presented for predicting a discrete criterion variable from combining 2 or more discrete predictor variables nonparametrically. Predictions are made via so‐called prediction types which allow to predict a criterion class from combined predictor classes.
Heilmann, W.-R. +2 more
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Using Mosaic Displays in Configural Frequency Analysis [PDF]
, 2001 The present study proposes using Mosaic displays to depict results of Configural Frequency Analysis (CFA). The Mosaic display is a graphical method to examine multi-way cross-tabulated data. Its unique strength as a graphical tool for CFA lies in its capability to show more than one dimension of the data in a way that instant comparisons of proportions
Mun, Eun-Young +3 more
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Alternatives to Configural Frequency Analysis [PDF]
, 1996 The aim of Configural Frequency Analysis (CFA) is the search for outliers or ‘types’ (subdivided into ‘types’ and ‘antitypes’) in a sample of d-dimensional finite vectors, generally represented in a d-dimensional contingency table. Type search is done by analysis of residuals. It can be shown, however, that this technique may be misleading.
Peter Ihm, Ingeborg Küchler
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Configural frequency analysis and association analyses in contingency tables
Computational Statistics and Data Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Norbert Victor, Meinhard Kieser
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Introduction to Configural Frequency Analysis [PDF]
, 1990 Configural Frequency Analysis (CFA) is a method for analysis of groups of individuals in cross-classifications. Individuals belong to a type if their particular pattern of characteristics occurs more often than expected, and to an antityte if their particular pattern of characteristics occurs less often than expected. The author's original contribution
Alexander von Eye
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