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Latent structure analysis of repeated classifications with dichotomous data
Author(s) -
Dayton C. Mitchell,
Macready George B.
Publication year - 1983
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.2044-8317.1983.tb01124.x
Subject(s) - econometrics , multivariate statistics , statistics , repeated measures design , latent variable , mathematics , computer science
Latent structure models are presented for situations involving repeated, dichotomous classifications as might arise, for example, in panel studies. Procedures for estimation, hypothesis testing and comparisons among alternative models are developed for two or more occasions of measurement. In addition, methods are suggested for multivariate panel studies where two or more variables are each measured repeatedly. The procedures are exemplified with real‐life data sets.