منابع مشابه
Generalized full-information item bifactor analysis.
Full-information item bifactor analysis is an important statistical method in psychological and educational measurement. Current methods are limited to single-group analysis and inflexible in the types of item response models supported. We propose a flexible multiple-group item bifactor analysis framework that supports a variety of multidimensional item response theory models for an arbitrary m...
متن کاملFull-Information Item Bifactor Analysis of Graded Response Data
can be found at: Applied Psychological Measurement Additional services and information for http://apm.sagepub.com/cgi/alerts Email Alerts: http://apm.sagepub.com/subscriptions Subscriptions: http://www.sagepub.com/journalsReprints.nav Reprints: http://www.sagepub.com/journalsPermissions.nav Permissions: http://apm.sagepub.com/cgi/content/abstract/31/1/4#BIBL SAGE Journals Online and HighWire ...
متن کاملRandom intercept item factor analysis.
The common factor model assumes that the linear coefficients (intercepts and factor loadings) linking the observed variables to the latent factors are fixed coefficients (i.e., common for all participants). When the observed variables are participants' observed responses to stimuli, such as their responses to the items of a questionnaire, the assumption of common linear coefficients may be too ...
متن کاملFactor Analysis of Ordinal Variables with Full Information Maximum Likelihood
The basic idea of factor analysis is the following. For a given set of manifest variables x1, . . . , xp one wants to find a set of latent variables ξ1, . . . , ξk, fewer in number than the manifest variables, that contain essentially the same information. The latent variables are supposed to account for the dependencies among the manifest variables in the sense that if the latent variables are...
متن کاملFull-Information Item Bifactor Analysis of the Job Burnout Scale for Chinese College Teachers
The bifactor structure has been considered a credible model for various types of data. Research purposes were: (a) to test the utility of the bifactor IRT model for dimensionality assessment and (b) to confirmatory factor analyze the structure of the newly-developed scale, the Job Burnout Scale for Chinese College Teachers. 1331 teachers were chosen from 11 various Universities in China. 1111(8...
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ژورنال
عنوان ژورنال: Applied Psychological Measurement
سال: 1988
ISSN: 0146-6216,1552-3497
DOI: 10.1177/014662168801200305