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Magis, David; De Boeck, Paul – Multivariate Behavioral Research, 2011
We focus on the identification of differential item functioning (DIF) when more than two groups of examinees are considered. We propose to consider items as elements of a multivariate space, where DIF items are outlying elements. Following this approach, the situation of multiple groups is a quite natural case. A robust statistics technique is…
Descriptors: Test Bias, Mathematics Tests, Identification, Sampling
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Ruscio, John; Ruscio, Ayelet Meron; Meron, Mati – Multivariate Behavioral Research, 2007
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap…
Descriptors: Sampling, Equated Scores, Data Interpretation, Inferences
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MacCallum, Robert C.; And Others – Multivariate Behavioral Research, 1994
Alternative strategies for two-sample cross-validation of covariance structure models are described and investigated. Results of an empirical sampling study show that for tighter strategies simpler models are preferred in smaller samples, but when cross-validation is employed, a more complex model is supported even for small samples. (SLD)
Descriptors: Comparative Analysis, Evaluation Methods, Models, Research Methodology
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Hofer, Scott M.; Flaherty, Brian P.; Hoffman, Lesa – Multivariate Behavioral Research, 2006
The effect of time-related mean differences on estimates of association in cross-sectional studies has not been widely recognized in developmental and aging research. Cross-sectional studies of samples varying in age have found moderate to high levels of shared age-related variance among diverse age-related measures. These findings may be…
Descriptors: Time Perspective, Association (Psychology), Sampling, Case Studies