Two-way imputation: a Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation

DOI10.1016/j.csda.2006.12.022zbMath1161.62445OpenAlexW2097295325MaRDI QIDQ1020046

Klaas Sijtsma, L. Andries van der Ark, Jeroen K. Vermunt, Joost R. van Ginkel

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://research.tilburguniversity.edu/en/publications/2a74d78a-a769-4415-b87d-d25de6014d76

zbMATH Keywords

effect of imputation on psychometrically important statisticsmissing item scoresmultiple imputation of item scorestwo-way imputation with data augmentationtwo-way imputation with error

Mathematics Subject Classification ID

Bayesian inference (62F15) Analysis of variance and covariance (ANOVA) (62J10) Applications of statistics to psychology (62P15)

Related Items (1)

Using generalized Procrustes analysis for multiple imputation in principal component analysis

Uses Software

• Delphi
• BayesDA
• mokken

Cites Work

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• Posterior inference in the random intercept model based on samples obtained with Markov chain Monte Carlo methods
• Loglinear multidimensional IRT models for polytomously scored items
• Coefficient alpha and the internal structure of tests
• The statistical theory of stepped-up reliability coefficients when a test has been divided into several equivalent parts
• The Calculation of Posterior Distributions by Data Augmentation
• Miscellanea. Small-sample degrees of freedom with multiple imputation

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