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Tchumtchoua, Sylvie; Dey, Dipak K. – Psychometrika, 2012
This paper proposes a semiparametric Bayesian framework for the analysis of associations among multivariate longitudinal categorical variables in high-dimensional data settings. This type of data is frequent, especially in the social and behavioral sciences. A semiparametric hierarchical factor analysis model is developed in which the…
Descriptors: Factor Analysis, Bayesian Statistics, Behavioral Sciences, Social Sciences
Zhang, Jun; Mueller, Shane T. – Psychometrika, 2005
In the signal detection paradigm, the non-parametric index of sensitivity A', as first introduced by Pollack and Norman (1964), is a popular alternative to the more traditional d' measure of sensitivity. Smith (1995) clarified a confusion about the interpretation of A' in relation to the area beneath proper receiver operating characteristic (ROC)…
Descriptors: Computation, Nonparametric Statistics, Statistical Analysis, Psychometrics
Johnson, Matthew S. – Psychometrika, 2006
Unlike their monotone counterparts, nonparametric unfolding response models, which assume the item response function is unimodal, have seen little attention in the psychometric literature. This paper studies the nonparametric behavior of unfolding models by building on the work of Post (1992). The paper provides rigorous justification for a class…
Descriptors: Psychometrics, Nonparametric Statistics, Item Response Theory, Models
Alterman, Arthur I.; Cacciola, John S.; Habing, Brian; Lynch, Kevin G. – Psychological Assessment, 2007
Baseline Addiction Severity Index (5th ed.; ASI-5) data of 2,142 substance abuse patients were analyzed with two nonparametric item response theory (NIRT) methods: Mokken scaling and conditional covariance techniques. Nine reliable and dimensionally homogeneous Recent Problem indexes emerged in the ASI-5's seven areas, including two each in the…
Descriptors: Severity (of Disability), Psychometrics, Patients, Employment
Mroch, Andrew A.; Bolt, Daniel M. – Applied Measurement in Education, 2006
Recently, nonparametric methods have been proposed that provide a dimensionally based description of test structure for tests with dichotomous items. Because such methods are based on different notions of dimensionality than are assumed when using a psychometric model, it remains unclear whether these procedures might lead to a different…
Descriptors: Simulation, Comparative Analysis, Psychometrics, Methods Research

Cliff, Norman; And Others – Applied Psychological Measurement, 1988
A method for ordering persons and items when all responses are ordinal was developed and applied to several sets of questionnaire data (from undergraduates) and one set of archeological data. The method provides a possible nonparametric treatment of data usually treated by more traditional psychometric methods. (SLD)
Descriptors: Archaeology, Data Analysis, Data Collection, Higher Education

Stout, William – Psychometrika, 1987
A procedure--based on item response theory--for testing the hypothesis of unidimensionality of the latent space is proposed. Use of the procedure is supported by an asymptotic theory and a Monte Carlo simulation study. The procedure tests for unidimensionality in test construction and/or compares two tests. (SLD)
Descriptors: College Entrance Examinations, Computer Simulation, Equations (Mathematics), Hypothesis Testing