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Structure and Probability Distribution of Dichotomous Response Patterns

Bibliographic Data

ID19276705
AuthorsShizuhiko Nishisato (The Ontario Institute for Studies in Education and the University of Toronto, corresponding author)
Year1970
Volume12
Issue2
Pages62-74
Publication date1970-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJapanese Psychological Research (JOURNAL)
Journal identifiersISSN: 0021-5368 • E-ISSN: 1468-5884
PublisherThe Japanese Psychological Association (PUBLISHER • JP)
DOI10.4992/psycholres1954.12.62
OpenAlexW1939763377
LanguageEN
Citations received2

A view that dichotomous response patterns with negligible probabilities should be excluded from data analysis was pursued mainly to mitigate the difficulty in dealing with an enormous number of possible response patterns. Based on an assumption of latent structure, a geometric model of dichotomous response patterns was proposed. Monte Carlo computations revealed, among others, that the structural consideration of binary information can lead to an economical way of data analysis, and that the simplicity of interpretability of binary information degenerates rapidly as the structure of the information tends to become multidimensional. Only a deterministic model was discussed

Binary number · Econometrics · Interpretability · Item response theory · Monte Carlo method · Probability distribution · Psychometrics · Simplicity · Statistics · Advanced Statistical Modeling Techniques · Artificial Intelligence · Computer Science · Mathematics · Optimal Experimental Design Methods · Statistical Methods and Applications

  • Methodology Review

    Open Access•John Hattie•Applied Psychological Measurement•1985

  • Transform Factor Analysis

    Shizuhiko Nishisato•Japanese Psychological Research•1971

Unique citing works2
Citations per year0,04
Citation span1971 - 1985 (15)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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