Sample size determination within the scope of conditional maximum likelihood estimation with special focus on testing the Rasch model

DOI10.1007/s11336-015-9472-yzbMath1329.62457OpenAlexW765282941WikidataQ40757680 ScholiaQ40757680MaRDI QIDQ906042

Rainer W. Alexandrowicz, Clemens Draxler

Publication date: 29 January 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-015-9472-y

zbMATH Keywords

likelihood ratio testsample sizescore testWald testconditional maximum likelihoodRasch model

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Point estimation (62F10) Contingency tables (62H17) Applications of statistics to psychology (62P15)

Related Items (4)

Testing the Rasch model with the conditional likelihood ratio test: sample size requirements and bootstrap algorithms ⋮ Power analysis for the Wald, LR, score, and gradient tests in a marginal maximum likelihood framework: applications in IRT ⋮ Bayesian conditional inference for Rasch models ⋮ The gradient test and its finite sample size properties in a conditional maximum likelihood and psychometric modeling context

Uses Software

• OPLM

Cites Work

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