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Showing 1 to 15 of 24 results Save | Export
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Forsman, Jonas; Linder, Cedric; Moll, Rachel; Fraser, Duncan; Andersson, Staffan – Studies in Higher Education, 2014
Complexity thinking is relatively new to education research and has rarely been used to examine complex issues in physics and engineering education. Issues in higher education such as student retention have been approached from a multiplicity of perspectives and are recognized as complex. The complex system of student retention modelling in higher…
Descriptors: School Holding Power, Models, Higher Education, Systems Approach
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Tokar, David M.; Buchanan, Taneisha S.; Subich, Linda M.; Hall, Rosalie J.; Williams, Christine M. – Journal of Vocational Behavior, 2012
The underlying factor structure of the Learning Experiences Questionnaire (LEQ; Schaub, 2004) was examined using data from 742 male and female college-age respondents. The LEQ items reflect a variety of learning experiences (generated based on Bandura's (1986, 1997) four sources of self-efficacy perceptions) that might occur in each of Holland's…
Descriptors: Females, Self Efficacy, Factor Structure, Measures (Individuals)
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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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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
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Patrick, Helen; Kaplan, Avi; Ryan, Allison M. – Journal of Educational Psychology, 2011
In a series of 4 studies we investigated the relations of mastery goal structure and 4 dimensions of the classroom social climate (teacher academic support, teacher emotional support, classroom mutual respect, task-related interaction). We conducted multidimensional scaling with separate adolescent samples that differed considerably (i.e., by…
Descriptors: Student Motivation, Multidimensional Scaling, Factor Analysis, Social Environment
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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
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Wu, Chia-Huei; Chen, Lung Hung – Educational and Psychological Measurement, 2010
In 2001, Elliot and McGregor proposed a 2 x 2 (mastery-performance x approach- avoidance) achievement goal frameworks and developed a questionnaire to measure four goals (mastery-approach, mastery-avoidance, performance-approach, and performance-avoidance goals). This study examines the dual meanings of items in 2 x 2 achievement goal…
Descriptors: Questionnaires, Achievement, Objectives, Factor Analysis
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Cai, Li – Psychometrika, 2010
Motivated by Gibbons et al.'s (Appl. Psychol. Meas. 31:4-19, "2007") full-information maximum marginal likelihood item bifactor analysis for polytomous data, and Rijmen, Vansteelandt, and De Boeck's (Psychometrika 73:167-182, "2008") work on constructing computationally efficient estimation algorithms for latent variable…
Descriptors: Educational Assessment, Public Health, Quality of Life, Measures (Individuals)
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D'Agostino, Jerome; Karpinski, Aryn; Welsh, Megan – International Journal of Testing, 2011
After a test is developed, most content validation analyses shift from ascertaining domain definition to studying domain representation and relevance because the domain is assumed to be set once a test exists. We present an approach that allows for the examination of alternative domain structures based on extant test items. In our example based on…
Descriptors: Expertise, Test Items, Mathematics Tests, Factor Analysis
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Hansen, Jo-Ida C.; Dik, Bryan J.; Zhou, Shuangmei – Journal of Counseling Psychology, 2008
In this study, the authors investigated the extent to which factor and spatial structures of leisure interests (a) are similar to or distinct from the structure of vocational interests and (b) differ across 3 cohorts: college students (M[subscript age] = 19.6 years, SD = 1.23), working-age adults (M[subscript age] = 29.7, SD = 1.18), and retirees…
Descriptors: College Students, Vocational Interests, Multidimensional Scaling, Leisure Time
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Harshman, Richard A.; Lundy, Margaret E. – Psychometrika, 1996
Some three-way factor analysis and multidimensional scaling models incorporate the principle of parallel proportional profiles of R. B. Cattell. Proof is presented for a unique axis orientation for a more general parallel profiles model that incorporates interacting dimensions. Special cases of PARAFAC2 and CANDECOMP models are discussed. (SLD)
Descriptors: Factor Analysis, Interaction, Models, Multidimensional Scaling
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Kiers, Henk A. L. – Psychometrika, 2006
Prior to a three-way component analysis of a three-way data set, it is customary to preprocess the data by centering and/or rescaling them. Harshman and Lundy (1984) considered that three-way data actually consist of a three-way model part, which in fact pertains to ratio scale measurements, as well as additive "offset" terms that turn the ratio…
Descriptors: Measures (Individuals), Computation, Item Response Theory, Factor Analysis
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Samejima, Fumiko – Psychometrika, 1974
Descriptors: Factor Analysis, Latent Trait Theory, Matrices, Models
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Billings, Robert S.; Cornelius, Edwin T., III – Personnel Psychology, 1980
A multidimensional scaling analysis of 21 work outcomes yielded a latent structure with three dimensions: value attached by society, level of psychological need met, and extent the outcome is inherent in the work itself. Results suggest a multidimensional model of work outcomes is more useful than a categorical approach. (Author)
Descriptors: College Students, Factor Analysis, Job Analysis, Job Satisfaction
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Takane, Yoshio; And Others – Psychometrika, 1995
A model is proposed in which different sets of linear constraints are imposed on different dimensions in component analysis and classical multidimensional scaling frameworks. An algorithm is presented for fitting the model to the data by least squares. Examples demonstrate the method. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Factor Analysis, Least Squares Statistics
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