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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

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

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
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

Comrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries

Collins, Linda M.; And Others – Multivariate Behavioral Research, 1986
The present study compares the performance of phi coefficients and tetrachorics along two dimensions of factor recovery in binary data. These dimensions are (1) accuracy of nontrivial factor identifications; and (2) factor structure recovery given a priori knowledge of the correct number of factors to rotate. (Author/LMO)
Descriptors: Computer Software, Factor Analysis, Factor Structure, Item Analysis
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

Bernstein, Ira H.; And Others – Multivariate Behavioral Research, 1986
A three subscale inventory designed by Fenigstein, Scheier, and Buss to measure self-consciousness was administered to 297 college students. Fenigstein et al.'s representation was found to fit the data in its original form. Items on the subscales differ nearly as much statistically as they do substantively. (Author/LMO)
Descriptors: College Students, Correlation, Factor Analysis, Factor Structure

Revelle, William – Multivariate Behavioral Research, 1979
Hierarchical cluster analysis is shown to be an effective method for forming scales from sets of items. Comparisons with factor analytic techniques suggest that hierarchical analysis is superior in some respects for scale construction. (Author/JKS)
Descriptors: Cluster Analysis, Factor Analysis, Item Analysis, Rating Scales

Cohen, Arie; Farley, Frank H. – Multivariate Behavioral Research, 1979
Common items, items which appear on several scales on psychological tests, are investigated in this study. It is concluded that the common item problem is not a serious one in personality measurement. (Author/JKS)
Descriptors: Higher Education, Item Analysis, Personality Assessment, Personality Measures
Whittaker, Tiffany A.; Stapleton, Laura M. – Multivariate Behavioral Research, 2006
Cudeck and Browne (1983) proposed using cross-validation as a model selection technique in structural equation modeling. The purpose of this study is to examine the performance of eight cross-validation indices under conditions not yet examined in the relevant literature, such as nonnormality and cross-validation design. The performance of each…
Descriptors: Multivariate Analysis, Selection, Structural Equation Models, Evaluation Methods

Helmes, Edward – Multivariate Behavioral Research, 1989
Objective criteria for evaluating the Eysenck Personality Inventory's internal structure are discussed. An approach based on targeted rotations and the test's scoring key is proposed as a means of providing common criteria. Data from earlier structure and test results for 195 undergraduates support the utility of 3 criteria developed. (SLD)
Descriptors: Comparative Analysis, Evaluation Criteria, Evaluation Methods, Factor Structure