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Marsh, Herbert W.; Liem, Gregory Arief D.; Martin, Andrew J.; Morin, Alexandre J. S.; Nagengast, Benjamin – Journal of Psychoeducational Assessment, 2011
The most popular measures of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract from their discriminant validity. Part of the problem, the authors argue, is…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Correlation
Wiebe, Sandra A.; Sheffield, Tiffany; Nelson, Jennifer Mize; Clark, Caron A. C.; Chevalier, Nicolas; Espy, Kimberly Andrews – Journal of Experimental Child Psychology, 2011
Although the structure of executive function (EF) during adulthood is characterized by both unity and diversity, recent evidence suggests that preschool EF may be best described by a single factor. The latent structure of EF was examined in 228 3-year-olds using confirmatory factor analysis. Children completed a battery of executive tasks that…
Descriptors: Cognitive Processes, Preschool Children, Factor Analysis, Short Term Memory
Seo, Mi; Sink, Christopher A.; Cho, Han-Ik – Professional School Counseling, 2011
This psychometric study validated the "easy-to-use" Life Perspectives Inventory (LPI) for deployment with Korean high school-age students (N = 1223, ages 15-19). Using the conceptual research underpinnings derived from the positive psychology and spirituality literature, the LPI assesses qualities of nonsectarian adolescent spirituality.…
Descriptors: Measures (Individuals), Validity, Adolescents, Religious Factors
Walters, Glenn D.; Hagman, Brett T.; Cohn, Amy M. – Psychological Assessment, 2011
Item response theory (IRT) methods were applied to items from the 80-item Psychological Inventory of Criminal Thinking Styles (PICTS; G. D. Walters, 1995) to determine how well they measure the latent trait of criminal thinking in a group of 2,872 male medium security prison inmates. Preliminary analyses revealed that the 64 PICTS thinking style…
Descriptors: Cognitive Style, Correctional Institutions, Criminals, Measures (Individuals)
Ward, Kimberly E.; Rothlisberg, Barbara A.; McIntosh, David E.; Bradley, Madeline H. – Psychology in the Schools, 2011
The purpose of this study was to examine the factor structure of the Stanford-Binet Intelligence Scales, Fifth Edition (SB-V), based on the Cattell-Horn-Carroll (CHC) theory of intelligence using a sample of 200 preschool children. The CHC framework uses three different models: one similar to Spearman's "g", one similar to the…
Descriptors: Preschool Children, Intelligence Tests, Factor Structure, Cognitive Ability
Tiffin, Paul A.; Kaplan, Carole; Place, Maurice – Journal of Adolescence, 2011
A pool of 75 items relating to family functioning was created and piloted in a sample of 12-18 year olds (N = 673). The responses were subjected to an exploratory factor analysis which indicated the presence of three significant latent traits. The results were then used to inform the development of a rating instrument with five subscales labelled…
Descriptors: Responses, Reliability, Factor Analysis, Family Relationship
Canivez, Gary L.; Watkins, Marley W. – Psychological Assessment, 2010
The present study examined the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV; D. Wechsler, 2008a) standardization sample using exploratory factor analysis, multiple factor extraction criteria, and higher order exploratory factor analysis (J. Schmid & J. M. Leiman, 1957) not included in the WAIS-IV Technical…
Descriptors: Intelligence, Factor Structure, Measures (Individuals), Factor Analysis
Yuan, Ke-Hai; Cheng, Ying; Zhang, Wei – Psychometrika, 2010
This paper studies changes of standard errors (SE) of the normal-distribution-based maximum likelihood estimates (MLE) for confirmatory factor models as model parameters vary. Using logical analysis, simplified formulas and numerical verification, monotonic relationships between SEs and factor loadings as well as unique variances are found.…
Descriptors: Factor Analysis, Statistical Analysis, Error of Measurement, Models
Canivez, Gary L.; Watkins, Marley W. – School Psychology Quarterly, 2010
The factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV; Wechsler, 2008a) with the adolescent participants (ages 16-19 years; N = 400) in the standardization sample was assessed using exploratory factor analysis, multiple factor extraction criteria, and higher-order exploratory factor analyses. Results from…
Descriptors: Intelligence, Factor Structure, Factor Analysis, Measures (Individuals)
Duvvuri, Sri Devi; Gruca, Thomas S. – Psychometrika, 2010
Identifying price sensitive consumers is an important problem in marketing. We develop a Bayesian multi-level factor analytic model of the covariation among household-level price sensitivities across product categories that are substitutes. Based on a multivariate probit model of category incidence, this framework also allows the researcher to…
Descriptors: Marketing, Costs, Consumer Economics, Models
Dimitrov, Dimiter M. – Measurement and Evaluation in Counseling and Development, 2010
This article describes the logic and procedures behind testing for factorial invariance across groups in the context of construct validation. The procedures include testing for configural, measurement, and structural invariance in the framework of multiple-group confirmatory factor analysis (CFA). The "forward" (sequential constraint imposition)…
Descriptors: Construct Validity, Factor Analysis, Statistical Analysis, Measurement
Edwards, Susan; Kemp, Andrew T.; Page, C. Steven – Current Issues in Middle Level Education, 2014
This quantitative study examined the beliefs of middle grades education faculty from universities across the United States about the purpose of education. The results of a survey of 144 respondents who identified themselves as university faculty that taught middle level courses as a specialty will be discussed. The survey included 23 statements,…
Descriptors: Middle Schools, Educational Philosophy, Educational Practices, Theory Practice Relationship
Deane, Paul – ETS Research Report Series, 2014
This paper explores automated methods for measuring features of student writing and determining their relationship to writing quality and other features of literacy, such as reading rest scores. In particular, it uses the "e-rater"™ automatic essay scoring system to measure "product" features (measurable traits of the final…
Descriptors: Writing Processes, Writing Evaluation, Student Evaluation, Writing Skills
Liu, Yi-Lin; Liang, Chaoyun – International Journal of Educational Psychology, 2014
Using science majors as an example, we analyzed how generative cognition, organizational culture, and personality traits affect student imagination, and examined the mediating effects of generative cognition and organizational culture. A total of 473 undergraduates enrolled in physical, chemical, mathematical, and biological science programs…
Descriptors: Schemata (Cognition), Imagination, Undergraduate Students, Predictor Variables
Heilmann, John; Malone, Thomas O. – Language, Speech, and Hearing Services in Schools, 2014
Purpose: The authors created a database of expository oral language samples with the aims of describing the nature of students' expository discourse and providing benchmark data for typically developing preteen and teenage students. Method: Using a favorite game or sport protocol, language samples were collected from 235 typically developing…
Descriptors: Oral Language, Discourse Analysis, Language Skills, Databases

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