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Özdogan, Didem; Kelecioglu, Hülya – International Journal of Assessment Tools in Education, 2022
This study aims to analyze the differential bundle functioning in multidimensional tests with a specific purpose to detect this effect through differentiating the location of the item with DIF in the test, the correlation between the dimensions, the sample size, and the ratio of reference to focal group size. The first 10 items of the test that is…
Descriptors: Correlation, Sample Size, Test Items, Item Analysis
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Jang, Yoonsun; Kim, Seock-Ho; Cohen, Allan S. – Journal of Educational Measurement, 2018
This study investigates the effect of multidimensionality on extraction of latent classes in mixture Rasch models. In this study, two-dimensional data were generated under varying conditions. The two-dimensional data sets were analyzed with one- to five-class mixture Rasch models. Results of the simulation study indicate the mixture Rasch model…
Descriptors: Item Response Theory, Simulation, Correlation, Multidimensional Scaling
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Tian, Lin; Guan, Yanjun; Chen, Sylvia Xiaohua; Levin, Nimrod; Cai, Zijun; Chen, Pei; Zhu, Chengfeng; Fu, Ruchunyi; Wang, Yang; Zhang, Shu – Journal of Career Development, 2014
Two studies were conducted to validate the Chinese version of the Career Decision-Making Profiles (CDMP) questionnaire, a multidimensional measure of the way individuals make career decisions. Results of Study 1 showed that after dropping 1 item from the original CDMP scale, the 11-factor structure was supported among Chinese college students (N =…
Descriptors: College Students, Predictive Validity, Career Development, Decision Making
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Sun, Xiang; Allison, Carrie; Auyeung, Bonnie; Matthews, Fiona E.; Norton, Samuel; Baron-Cohen, Simon; Brayne, Carol – Journal of Autism and Developmental Disorders, 2014
Limited studies have investigated the latent autistic traits in the mainland Chinese population for autism spectrum conditions (ASC). This study explored the psychometric properties of a Mandarin Chinese version of the CAST in a sample consisting of 737 children in mainstream schools and 50 autistic cases. A combination of categorical data factor…
Descriptors: Psychometrics, Mandarin Chinese, Autism, Pervasive Developmental Disorders
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Vegelius, Jan – Educational and Psychological Measurement, 1977
The G index of agreement does not permit the use of various weights for its various items. The weighted G index described here, make it possible to use unequal weights. An example of the procedure is provided. (Author/JKS)
Descriptors: Correlation, Item Analysis, Multidimensional Scaling, Test Items
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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
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Vegelius, Jan – Educational and Psychological Measurement, 1977
Generalizations of the G index as a measure of similarity between persons beyond the dichotomous situation are discussed. An attempt is made to present a generalization that does not require dichotomization of the items for cases where the number of response alternatives may differ. (Author/JKS)
Descriptors: Correlation, Item Analysis, Measurement Techniques, Multidimensional Scaling
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Vegelius, Jan – Educational and Psychological Measurement, 1979
The computer program WEIGAN makes the weighted G analysis available for computer users. The input and output of the program are described. (Author/JKS)
Descriptors: Computer Programs, Correlation, Factor Analysis, Item Analysis
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Reeve, Charlie L.; Meyer, Rustin D.; Bonaccio, Silvia – Intelligence, 2006
The relationship between intelligence and personality has been of scientific interest for over 100 years. However, most contemporary estimates of these relationships are limited because they do not separate the variance due to general and narrow cognitive abilities. This study demonstrates that this methodological oversight can distort estimates…
Descriptors: Intelligence, Personality, Correlation, Cognitive Ability
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Perron, Brian E. – Social Indicators Research, 2006
The Psychological well being Inventory (PWBI) is a multidimensional instrument that has enjoyed widespread use in a variety of research initiatives, from small-scale studies to national surveys. Recent empirical investigation of the measure has raised questions about its validity. This study examines the factorial validity of the Environmental…
Descriptors: Criticism, Well Being, Factor Analysis, Mental Health
Cohen, Arie; Farley, Frank H. – 1974
Procedures for analyzing common item effects on interscale structure were reviewed and a study using smallest space analysis of the California Psychological Inventory (CPI) reported. Solutions of three matrices--intercorrelation matrix of the original CPI scales, of reduced scales (with common items removed), and of the number of common…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
Korpi, Meg; Haertel, Edward – 1984
The purpose of this paper is to further the cause of clarifying construct interpretations of tests, by proposing that non-metric multidimensional scaling may be more useful than factor analysis or other latent structure models for investigating the internal structure of tests. It also suggests that typical problems associated with scaling…
Descriptors: Correlation, Factor Structure, Intermediate Grades, Item Analysis
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Gierl, Mark J.; Leighton, Jacqueline P.; Tan, Xuan – Journal of Educational Measurement, 2006
DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…
Descriptors: Program Evaluation, Cluster Grouping, Evaluation Methods, Multivariate Analysis
Bart, William M.; Airasian, Peter W. – 1976
The question of whether test factor structure is indicative of the test item hierarchy was examined. Data from 1,000 subjects on two sets of five bivalued Law School Admission Test items, which were analyzed with latent trait methods of Bock and Lieberman and of Christoffersson in Psychometrika, were analyzed with an ordering-theoretic method to…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
Sirotnik, Kenneth A. – 1979
This report contains accounts of studies, about scales to be used in the "A Study of Schooling" research project, undertaken to derive indices for constructs presumed to be measureable by composites of items. The report is introduced by a discussion on the rationale for selecting the research methodology used and an explanation of the…
Descriptors: Behavioral Science Research, Cluster Analysis, Cluster Grouping, Correlation
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