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CONDITIONAL INFERENCE FOR MULTIPLE‐CHOICE QUESTIONNAIRES
Author(s) -
Andersen Erling B.
Publication year - 1973
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1973.tb00504.x
Subject(s) - rasch model , inference , danish , curse of dimensionality , extension (predicate logic) , measure (data warehouse) , computer science , econometrics , item response theory , statistics , mathematics , artificial intelligence , data mining , psychometrics , programming language , linguistics , philosophy
Since most of the literature on the extension of Rasch's (1961) model to multiple‐ choice questionnaires is only available in Danish, this paper gives a short introduction to the model. The main body of the paper, however, is concerned with the conditional maximum‐likelihood estimation of the item parameters. The theory is applied to data from a questionnaire used to measure job satisfaction in Danish factories. Finally, the problem of reducing the dimensionality of the parameters is discussed.