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Polak, Marike; De Rooij, Mark; Heiser, Willem J. – Multivariate Behavioral Research, 2012
In this article we propose a model-free diagnostic for single-peakedness (unimodality) of item responses. Presuming a unidimensional unfolding scale and a given item ordering, we approximate item response functions of all items based on ordered conditional means (OCM). The proposed OCM methodology is based on Thurstone & Chave's (1929) "criterion…
Descriptors: Item Response Theory, Measures (Individuals), Test Items, Item Analysis
Sterba, Sonya K.; MacCallum, Robert C. – Multivariate Behavioral Research, 2010
Different random or purposive allocations of items to parcels within a single sample are thought not to alter structural parameter estimates as long as items are unidimensional and congeneric. If, additionally, numbers of items per parcel and parcels per factor are held fixed across allocations, different allocations of items to parcels within a…
Descriptors: Sampling, Computation, Statistical Analysis, Computer Software
Ruscio, John; Kaczetow, Walter – Multivariate Behavioral Research, 2009
Interest in modeling the structure of latent variables is gaining momentum, and many simulation studies suggest that taxometric analysis can validly assess the relative fit of categorical and dimensional models. The generation and parallel analysis of categorical and dimensional comparison data sets reduces the subjectivity required to interpret…
Descriptors: Classification, Models, Comparative Analysis, Statistical Analysis
Ferrando, Pere J.; Anguiano-Carrasco, Cristina – Multivariate Behavioral Research, 2009
This article proposes a model-based multiple-group procedure for assessing the impact of faking on personality measures and the scores derived from these measures. The assessment is at the item level and the base model, which is intended for binary items, can be parameterized both as an Item Response Theory (IRT) model and as an Item…
Descriptors: Personality, Personality Measures, Item Response Theory, Deception
Biesanz, Jeremy C. – Multivariate Behavioral Research, 2010
The social accuracy model of interpersonal perception (SAM) is a componential model that estimates perceiver and target effects of different components of accuracy across traits simultaneously. For instance, Jane may be generally accurate in her perceptions of others and thus high in "perceptive accuracy"--the extent to which a particular…
Descriptors: Social Cognition, Interpersonal Relationship, Interpersonal Competence, Individual Differences
Ferrando, Pere J. – Multivariate Behavioral Research, 2007
This paper proposes procedures for assessing the fit of a psychometric model at the level of the individual respondent. The procedures are intended for personality measures made up of Likert-type items, which, in applied research, are usually analyzed by means of factor analysis. Two scalability indices are proposed, which can be considered as…
Descriptors: Personality, Personality Measures, Factor Analysis, Psychometrics
Hartig, Johannes; Holzel, Britta; Moosbrugger, Helfried – Multivariate Behavioral Research, 2007
Numerous studies have shown increasing item reliabilities as an effect of the item position in personality scales. Traditionally, these context effects are analyzed based on item-total correlations. This approach neglects that trends in item reliabilities can be caused either by an increase in true score variance or by a decrease in error…
Descriptors: True Scores, Error of Measurement, Structural Equation Models, Simulation