Results 211 to 220 of about 4,536 (235)
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A More Powerful Simultaneous Test Procedure in Configural Frequency Analysis

Biometrical Journal, 1981
AbstractIn the Configural Frequency Analysis (CFA) of KRAUTH and LIENERT (1973 a, b), overfrequented (or underfrequented) cells in multivariate contingency tables are identified by simultaneous binomial tests. As an alternative, finite and asymptotic tests are proposed, which are derived from the (exact conditional) generalized hypergeometrical ...
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Prediction Models for Configural Frequency Analysis

2006
Configural 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.
Von Eye, Alexander   +2 more
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Configural Frequency Analysis

2013
Von Eye, Alexander, Mun, Eun-Young
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An efficient algorithm for Lindner’s test (configural frequency analysis)

Quality & Quantity, 2011
Lindner’s (Psychologische Beitrage 26:393–415, 1984) test is a generalisation of Fisher’s exact test for 2 × 2 contingency tables to 2k contingency tables (configural frequency analysis). It has been deemed to be impractical for large numbers of parameters and large marginal sums.
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[The configuration frequency analysis. Victor's singular types and syndromes].

Zeitschrift fur klinische Psychologie, Psychopathologie und Psychotherapie, 1989
A new concept on configural frequency analysis (CFA) is presented under the title: CFA, Victor's singular types and syndromes. The new concept is suitable and highly effective if one and only one type, a singular type, is present within a population of subjects or patients.
E, Dunkl, G A, Lienert
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[Detection of meta-syndromes in configuration frequency analysis].

Zeitschrift fur klinische Psychologie, Psychopathologie und Psychotherapie, 1993
Metasyndromes are defined as combinations of two or more single syndromes. A statistical method for ascertaining their existence on the basis of observational data is given. This is an improvement over another technique previously presented in this journal.
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