Loglinear Rasch models for the analysis of stability and change

DOI10.1007/BF02294040zbMath0863.62084OpenAlexW1979602990MaRDI QIDQ676517

Thorsten Meiser

Publication date: 18 March 1997

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294040

zbMATH Keywords

structural changeconditional likelihood ratio testgoodness of fit testinglatent traitsmeasurement of changemultidimensional Rasch modelsmultiple scales Rasch modelsnonstandard loglinear modelordered response categoriesparameter restrictionspolytomous indicatorsrepeated observationstest of homogeneity of change

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (1)

Latent change classes in dichotomous data

Uses Software

• SAS
• SAS/STAT

Cites Work

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• Characterizing the manifest probabilities of latent trait models
• Expanding the Rasch model to a general model having more than one dimension
• Logistic latent trait models with linear constraints
• Estimating latent correlations between repeated testings
• Loglinear Rasch model tests
• A rating formulation for ordered response categories
• A Rasch model for partial credit scoring
• A multidimensional latent trait model for measuring learning and change
• An extension of the rating scale model with an application to the measurement of change
• Computing maximum likelihood estimates of loglinear models from marginal sums with special attention to loglinear item response theory
• Loglinear multidimensional IRT models for polytomously scored items
• An extension of the partial credit model with an application to the measurement of change
• Applying the principles of specific objectivity and of generalizability to the measurement of change

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