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Zijlmans, Eva A. O.; Tijmstra, Jesper; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2018
Reliability is usually estimated for a total score, but it can also be estimated for item scores. Item-score reliability can be useful to assess the repeatability of an individual item score in a group. Three methods to estimate item-score reliability are discussed, known as method MS, method [lambda][subscript 6], and method CA. The item-score…
Descriptors: Test Items, Test Reliability, Correlation, Comparative Analysis
Zijlstra, Wobbe P.; van der Ark, L. Andries; Sijtsma, Klaas – Journal of Educational and Behavioral Statistics, 2011
Outliers in questionnaire data are unusual observations, which may bias statistical results, and outlier statistics may be used to detect such outliers. The authors investigated the effect outliers have on the specificity and the sensitivity of each of six different outlier statistics. The Mahalanobis distance and the item-pair based outlier…
Descriptors: Questionnaires, Data, Statistics, Statistical Bias
Ligtvoet, Rudy; van der Ark, L. Andries; Bergsma, Wicher P.; Sijtsma, Klaas – Psychometrika, 2011
We propose three latent scales within the framework of nonparametric item response theory for polytomously scored items. Latent scales are models that imply an invariant item ordering, meaning that the order of the items is the same for each measurement value on the latent scale. This ordering property may be important in, for example,…
Descriptors: Intelligence Tests, Measures (Individuals), Methods, Item Response Theory
Sijtsma, Klaas – International Journal of Testing, 2009
This article reviews three topics from test theory that continue to raise discussion and controversy and capture test theorists' and constructors' interest. The first topic concerns the discussion of the methodology of investigating and establishing construct validity; the second topic concerns reliability and its misuse, alternative definitions…
Descriptors: Construct Validity, Reliability, Classification, Test Theory