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- W2103358435 abstract "NOHARM is a program that performs factor analysis for dichotomous variables assuming that these arise from an underlying multinormal distribution. Parameter estimates are obtained by minimizing an unweighted least squares function of the first- and second-order marginal proportions. Here, large sample standard errors for restricted as well as rotated unrestricted factor solutions are given. Also a test of the goodness of fit of the model to the first- and second-order marginals of the contingency table is proposed. In a simulation study, it was found that for small models, accurate parameter estimates, standard errors, and goodness-of-fit tests can be obtained with as few as 100 observations. Furthermore, NOHARM estimates, standard errors, and goodness-of-fit tests are comparable to those obtained using a related LISREL procedure." @default.
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- W2103358435 date "2001-03-01" @default.
- W2103358435 modified "2023-10-16" @default.
- W2103358435 title "Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates" @default.
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- W2103358435 doi "https://doi.org/10.3102/10769986026001051" @default.
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