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Weeks, Jonathan P. – Measurement: Interdisciplinary Research and Perspectives, 2018
Vertical scales are widely used in educational assessment as a basis for considering grade-to-grade changes in student performance. Typically, the underlying construct is assumed to be essentially unidimensional; however, if there is a change in the measured construct across grades, this assumption may be untenable. Developing a multidimensional…
Descriptors: Multidimensional Scaling, Reading Tests, Reading Skills, Basic Skills
Scott, Terry F.; Schumayer, Daniel – Physical Review Special Topics - Physics Education Research, 2015
In this paper we present a series of item response models of data collected using the Force Concept Inventory. The Force Concept Inventory (FCI) was designed to poll the Newtonian conception of force viewed as a multidimensional concept, that is, as a complex of distinguishable conceptual dimensions. Several previous studies have developed…
Descriptors: Scores, Item Response Theory, Science Tests, Physics
Mazer, Joseph P.; Thompson, Blair – Communication Education, 2016
This study offers validity evidence for the Parental Academic Support Scale, a 16-item multidimensional measure that assesses support related to a child's academic performance, classroom behavior, preparation, hostile peer interactions, and health. Confirmatory factor analysis of the Parental Academic Support Scale (PASS) revealed a close model…
Descriptors: Multidimensional Scaling, Academic Achievement, Classroom Environment, Peer Relationship
Ho, Sammy K.; Chan, Edmund S. – Cogent Education, 2017
This study aims to investigate the psychometric properties of the revised multidimensional scale of perceived social support (R-MSPSS) for Chinese school teachers. A questionnaire comprising the R-MSPSS and other psychological measures was administered to a sample of 539 school teachers in Hong Kong. A series of confirmatory factor analysis was…
Descriptors: Multidimensional Scaling, Social Support Groups, Program Validation, Psychometrics
Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
Kobayashi, Minoru; Gushiken, Taichi; Ganaha, Yurika; Sasazawa, Yosiaki; Iwata, Shotaro; Takemura, Akiko; Fujita, Tsutomu; Asikin, Yonathan; Takakura, Minoru – Education Sciences, 2013
This study investigated the reliability and validity of the Multidimensional Scale of Life Skills in Late Childhood, an instrument designed to measure a concept similar to "zest for living" in late childhood. A total of 1,888 elementary school students in the 4th, 5th, and 6th grades residing in urban and suburban areas as well as in…
Descriptors: Multidimensional Scaling, Daily Living Skills, Elementary School Students, Test Reliability
Monroe, Scott; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
In Ramsay curve item response theory (RC-IRT, Woods & Thissen, 2006) modeling, the shape of the latent trait distribution is estimated simultaneously with the item parameters. In its original implementation, RC-IRT is estimated via Bock and Aitkin's (1981) EM algorithm, which yields maximum marginal likelihood estimates. This method, however,…
Descriptors: Item Response Theory, Maximum Likelihood Statistics, Statistical Inference, Models
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
Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee – Measurement in Physical Education and Exercise Science, 2015
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Sport Psychology
Ding, Cody S.; Davison, Mark L. – Educational and Psychological Measurement, 2010
Akaike's information criterion is suggested as a tool for evaluating fit and dimensionality in metric multidimensional scaling that uses least squares methods of estimation. This criterion combines the least squares loss function with the number of estimated parameters. Numerical examples are presented. The results from analyses of both simulation…
Descriptors: Multidimensional Scaling, Least Squares Statistics, Criteria, Computation
Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
Klassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Lindwall, Magnus; Palmeira, Antonio – Measurement in Physical Education and Exercise Science, 2009
The present study investigated the factorial validity and factorial invariance of the 21-item Exercise Dependence Scale-Revised using 162 Swedish and 269 Portuguese exercisers. In addition, the prevalence of exercise dependence symptoms and links to exercise behavior, gender, and age in the two samples was also studied. Confirmatory factor…
Descriptors: Measures (Individuals), Factor Analysis, Foreign Countries, Item Analysis
Kim, Se-Kang; Davison, Mark L.; Frisby, Craig L. – Multivariate Behavioral Research, 2007
This paper describes the Confirmatory Factor Analysis (CFA) parameterization of the Profile Analysis via Multidimensional Scaling (PAMS) model to demonstrate validation of profile pattern hypotheses derived from multidimensional scaling (MDS). Profile Analysis via Multidimensional Scaling (PAMS) is an exploratory method for identifying major…
Descriptors: Profiles, Factor Analysis, Multidimensional Scaling, Evaluation Methods

Zinnes, Joseph L.; Griggs, Richard A. – Psychometrika, 1974
Probabilistic assumptions are added to single and multidimensional versions of the Coombs unfolding model for preferential choice (Coombs, 1950) and practical ways of obtaining maximum likelihood estimates of the scale parameters and goodness-of-fit tests of the model are presented. A Monte Carlo experiment is discussed. (Author/RC)
Descriptors: Goodness of Fit, Multidimensional Scaling, Probability, Statistical Analysis