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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
Leite, Walter L.; Cooper, Lou Ann – Multivariate Behavioral Research, 2010
Based on the conceptualization that social desirable bias (SDB) is a discrete event resulting from an interaction between a scale's items, the testing situation, and the respondent's latent trait on a social desirability factor, we present a method that makes use of factor mixture models to identify which examinees are most likely to provide…
Descriptors: Social Desirability, Measures (Individuals), Item Response Theory, Factor Analysis
Leite, Walter L.; Huang, I-Chan; Marcoulides, George A. – Multivariate Behavioral Research, 2008
This article presents the use of an ant colony optimization (ACO) algorithm for the development of short forms of scales. An example 22-item short form is developed for the Diabetes-39 scale, a quality-of-life scale for diabetes patients, using a sample of 265 diabetes patients. A simulation study comparing the performance of the ACO algorithm and…
Descriptors: Mathematics, Measures (Individuals), Diabetes, Simulation

Shye, Samuel – Multivariate Behavioral Research, 1978
Facet technique is used to analyze contents of achievement motive questionnaire items proposed in recent years and to construct an explicit definition for achievement motive. (Author/JKS)
Descriptors: Academic Achievement, Achievement Need, Item Analysis, Motivation

Reynolds, Thomas J. – Multivariate Behavioral Research, 1980
Order analysis, a technique to isolate unidimensional hierarchies representing multidimensional structure of binary data, is reviewed. Several theoretical flaws inherent in the probalistic version are presented. Suggestions of possible directions for future research are offered. (Author)
Descriptors: Factor Analysis, Item Analysis, Matrices, Statistical Analysis

Silverstein, A. B.; Fisher, Gary – Multivariate Behavioral Research, 1975
Responses of male prisoners to the Personal Orientation Inventory were clustered, using hierarchical linkage analysis. Six second-order clusters accounted for all the items. Reliabilities of these clusters were comparable to those of the first-order clusters. Relative validity of cluster scores and scale scores remains to be determined. (RC)
Descriptors: Cluster Analysis, Correlation, Item Analysis, Personality Measures

Tzeng, Oliver C. S.; Landis, Dan – Multivariate Behavioral Research, 1978
Two popular models for performing multidimensional scaling, Tucker and Messick's points-of-view model, and Tucker's three mode model, are combined into a single analytic procedure, the 3M-POV model. The procedure is described and its strengths are discussed. Carroll and Chang's INDSCAL model is also mentioned. (JKS)
Descriptors: Correlation, Item Analysis, Mathematical Models, Multidimensional Scaling

Siegert, Richard J.; And Others – Multivariate Behavioral Research, 1988
A study concluding that the Wechsler Adult Intelligence Scale (Revised) (WAIS-R) has three clear factors in its structure is critiqued. An alternative factor comparison technique, FACTOREP, is used with identical data. It is demonstrated that the WAIS-R has only two strong factors--verbal comprehension and perceptual organization. (TJH)
Descriptors: Factor Analysis, Factor Structure, Intelligence Tests, Item Analysis
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

Cattell, Raymond B.; Burdsal, Charles A. – Multivariate Behavioral Research, 1975
Descriptors: Cluster Analysis, Factor Analysis, Factor Structure, Item Analysis

Suziedelis, Antanas; And Others – Multivariate Behavioral Research, 1976
A method of typological analysis was applied to computer-generated 96-item questionnaire data for 100 cases, under a variety of conditions to analyze both the item-level and score-level. The results showed a considerable advantage of score-level approach in the number, size, and replicability of clusters recovered. (DEP)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Comparative Analysis
Ferrando, Pere J. – Multivariate Behavioral Research, 2005
This article proposes and describes factor-analytic procedures for assessing and controlling socially desirable responding in binary personality items. The basic procedures are applications of the restricted (confirmatory) item factor analysis model for ordered-categorical variables. Orthogonal and oblique solutions based on marker variables are…
Descriptors: Social Desirability, Factor Analysis, Item Response Theory, Validity
Raykov, Tenko – Multivariate Behavioral Research, 2006
A method for examining invariance in validity of multiple-component instruments in repeated measure designs is outlined. The approach is developed within the framework of covariance structure modeling and is applicable for purposes of ascertaining temporal stability in scale validity. In addition, the procedure provides a range of plausible values…
Descriptors: Longitudinal Studies, Evaluation Methods, Test Validity, Item Analysis

Hunter, Sara; And Others – Multivariate Behavioral Research, 1974
Factor structure underlying responses to the 373-item MMPI was found to be essentially identical to the factor structure previously defined from analysis of intercorrelations among the first 168 items. (Author)
Descriptors: Adults, Clinical Diagnosis, Factor Analysis, Factor Structure

Bramble, William J.; Wiley, David E. – Multivariate Behavioral Research, 1974
Descriptors: Content Analysis, Item Analysis, Personality Assessment, Psychological Testing
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