Abstract
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. Prediction types are implicitely defined as cells of a 2-dimensional contingeney table with rows as predictor combinations and columns as criterion classes. The CFA is extended for two criteria, and for stratified sampling.
Originalsprache | Englisch |
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Seiten (von - bis) | 342 - 355 |
Fachzeitschrift | Psychology Science |
Jahrgang | 47 |
Ausgabenummer | 3/4 |
Publikationsstatus | Veröffentlicht - 1 Mai 2006 |