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Direct linkEgberink, Iris J. L.; Meijer, Rob R.; Tendeiro, Jorge N. – Educational and Psychological Measurement, 2015
A popular method to assess measurement invariance of a particular item is based on likelihood ratio tests with all other items as anchor items. The results of this method are often only reported in terms of statistical significance, and researchers proposed different methods to empirically select anchor items. It is unclear, however, how many…
Descriptors: Personality Measures, Computer Assisted Testing, Measurement, Test Items
Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2012
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM person-fit statistics based on likelihood ratios for the purpose of detecting cheating and random guessing by individual test takers. According to the Neyman-Pearson…
Descriptors: Cheating, Individual Testing, Adaptive Testing, Statistics
Download full textMeijer, Rob R.; Sijtsma, Klaas – 1994
Methods for detecting item score patterns that are unlikely (aberrant) given that a parametric item response theory (IRT) model gives an adequate description of the data or given the responses of the other persons in the group are discussed. The emphasis here is on the latter group of statistics. These statistics can be applied when a…
Descriptors: Foreign Countries, Identification, Item Response Theory, Nonparametric Statistics
Meijer, Rob R. – 1994
In studies investigating the power of person-fit statistics it is often assumed that the item parameters that are used to calculate the statistics can be estimated in a sample without aberrant persons. However, in practical test applications calibration samples most likely will contain aberrant persons. In the present study, the influence of the…
Descriptors: Estimation (Mathematics), Evaluation Methods, Foreign Countries, Identification
Meijer, Rob R.; van Krimpen-Stoop, Edith M. L. A. – 1998
Several person-fit statistics have been proposed to detect item score patterns that do not fit an item response theory model. To classify response patterns as not fitting a model, a distribution of a person-fit statistic is needed. The null distributions of several fit statistics have been investigated using conventionally administered tests, but…
Descriptors: Ability, Adaptive Testing, Foreign Countries, Item Response Theory
Meijer, Rob R. – 2001
Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. This study investigated how these statistics can be used to detect different types of misfit. Intelligence test data for 992 people at or beyond college level were analyzed using person-fit statistics in the context of…
Descriptors: Adults, College Students, Diagnostic Tests, Foreign Countries
Meijer, Rob R.; And Others – 1994
Three methods for the estimation of the reliability of single dichotomous items are discussed. All methods are based on the assumptions of nondecreasing and nonintersecting item response functions and the Mokken model of double monotonicity. Based on analytical and Monte Carlo studies, it is concluded that one method is superior to the other two…
Descriptors: Estimation (Mathematics), Foreign Countries, Item Response Theory, Monte Carlo Methods
Meijer, Rob R. – 1994
In person-fit analysis, the object is to investigate whether an item score pattern is improbable given the item score patterns of the other persons in the group or given what is expected on the basis of a test model. In this study, several existing group-based statistics to detect such improbable score patterns were investigated, along with the…
Descriptors: Achievement Tests, Classification, College Students, Cutting Scores
