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Lottridge, Susan M.; Nicewander, W. Alan; Mitzel, Howard C. – Multivariate Behavioral Research, 2011
This inquiry had 2 components: (1) the first was substantive and focused on the comparability of paper-based and computer-based test forms and (2) the second was a within-study comparison wherein a quasi-experimental method, propensity score matching, was compared with a credible benchmark method, a within-subjects design. The tests used in the…
Descriptors: Comparative Analysis, Probability, Scores, Statistical Analysis
Peer reviewedCudeck, Robert – Multivariate Behavioral Research, 1985
Twelve structural models of similarity were fitted to data from conventional and computer adaptive test (CAT) batteries measuring the same aptitude in a double cross-validation design. Three of the 12 models, including a multiplicative structure model, performed well, providing support for using CATs as replacements for conventional tests. (NSF)
Descriptors: Adaptive Testing, Aptitude Tests, Comparative Testing, Computer Assisted Testing
Peer reviewedEmbretson, Susan E. – Multivariate Behavioral Research, 2000
Discusses computerized dynamic testing with cues and items presented according to objective algorithms, elaborating on appropriate designs and psychometric models. Presents two studies involving 311 military recruits and 584 recruits that support the psychometric properties of a test measuring the susceptibility of reasoning to stressors. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Military Personnel, Psychometrics
Dolan, Conor V.; Jansen, Brenda R. J.; van der Maas, Han L. J. – Multivariate Behavioral Research, 2004
We present the results of multivariate normal mixture modeling of Piagetian data. The sample consists of 101 children, who carried out a (pseudo-)conservation computer task on four occasions. We fitted both cross-sectional mixture models, and longitudinal models based on a Markovian transition model. Piagetian theory of cognitive development…
Descriptors: Cognitive Development, Piagetian Theory, Multivariate Analysis, Longitudinal Studies
Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C. – Multivariate Behavioral Research, 2006
The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model…
Descriptors: Computer Software, Structural Equation Models, Individual Differences, Longitudinal Studies

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