Conditional maximum likelihood estimation in polytomous Rasch models using SAS

DOI10.1155/2013/617475zbMath1268.62148OpenAlexW2048409388WikidataQ58996739 ScholiaQ58996739MaRDI QIDQ355530

Karl Bang Christensen

Publication date: 25 July 2013

Published in: ISRN Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/617475

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Graphical methods in statistics (62A09) Applications of statistics to psychology (62P15)

Uses Software

• SAS
• eRm
• RUMM
• ConQuest
• WINSTEPS
• IRTFIT
• AnaQol

Cites Work

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• Loglinear Rasch model tests
• A rating formulation for ordered response categories
• A Rasch model for partial credit scoring
• Sufficient statistics and latent trait models
• Coefficient alpha and the internal structure of tests
• Latent Regression in Loglinear Rasch Models
• The SAS Macro-Program %AnaQol to Estimate the Parameters of Item Responses Theory Models
• Consistent Estimates Based on Partially Consistent Observations

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