ERIC Number: ED242777
Record Type: RIE
Publication Date: 1983-Aug
Reference Count: 0
Estimation of Latent Group Effects: Psychometric Technical Report No. 2.
Mislevy, Robert J.
Conventional methods of multivariate normal analysis do not apply when the variables of interest are not observed directly, but must be inferred from fallible or incomplete data. For example, responses to mental test items may depend upon latent aptitude variables, which modeled in turn as functions of demographic effects in the population. A method of estimating such effects by means of marginal maximum likelihood, implemented by means of an EM algorithm, is proposed. Asymptotic standard errors, likelihood ratio tests of alternative models, and computing approximations are provided. The procedures are illustrated with data for tests from the Armed Services Vocational Aptitude Battery administered to a national probability sample of American youth. (Author)
Publication Type: Reports - Research
Education Level: N/A
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: National Opinion Research Center, Chicago, IL.
Identifiers: Armed Services Vocational Aptitude Battery; EM Algorithm; Missing Data; Rasch Model