We consider a general type of model for analyzing ordinal variables with covariate effects and 2 approaches for analyzing data for such models, the item response theory (IRT) approach and the PRELIS-LISREL (PLA) approach. We compare these 2 approaches on the basis of 2 examples, 1 involving only covariate effects directly on the ordinal variables…

Describes an alternative approach to assessing content validity and content equivalence in terms of item-content structures and content area constructs. Results from applying structural equation modeling to item-response data from two Regents College examinations to verify content constructs suggest the different degrees of inconsistency and bias…

This article describes a technique to analyze randomized response data using available structural equation modeling (SEM) software. The randomized response technique was developed to obtain estimates that are more valid when studying sensitive topics. The basic feature of all randomized response methods is that the data are deliberately…

Discusses a procedure for testing the equivalence among different item response formats used in personality and attitude measurement. The procedure is based on the assumption that latent response variables underlie the observed item responses. It uses a nested series of confirmatory factor analysis models based on K. Joreskog's (1971) method for…