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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
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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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Bowman, Nicholas A.; Denson, Nida – Research in Higher Education, 2014
According to prevailing theory and anecdotal evidence, the congruence between institutional attributes and students' needs, interests, and preferences plays a key role in promoting college satisfaction and retention. However, this assertion has received little direct empirical attention, and the few available studies appear to have some key…
Descriptors: Intention, Academic Persistence, Factor Structure, Predictive Validity
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Chiu, Chung-Yi; Jochman, Joseph; Fujikawa, Mayu; Strand, David; Cheing, Gladys; Lee, Gloria; Chan, Fong – Rehabilitation Research, Policy, and Education, 2014
Purpose: To examine the factorial structure of the "Coping Strategy Questionnaire"-24 (CSQ-24) in a sample of Canadians with chronic musculoskeletal pain. Method: The sample included 171 workers' compensation clients (50.9% men) recruited from outpatient rehabilitation facilities in Canada. Mean age of participants was 42.45 years (SD =…
Descriptors: Factor Analysis, Questionnaires, Coping, Measurement Techniques
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Konold, Timothy; Cornell, Dewey; Huang, Francis; Meyer, Patrick; Lacey, Anna; Nekvasil, Erin; Heilbrun, Anna; Shukla, Kathan – School Psychology Quarterly, 2014
The Authoritative School Climate Survey was designed to provide schools with a brief assessment of 2 key characteristics of school climate--disciplinary structure and student support--that are hypothesized to influence 2 important school climate outcomes--student engagement and prevalence of teasing and bullying in school. The factor structure of…
Descriptors: Educational Environment, Educational Assessment, Student Surveys, Psychometrics
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Simms, Kathryn; Bock, Sara; Hackett, Lewis – Health Education Journal, 2014
Objective: Prior research on the efficacy of physical education has been conducted in a piecemeal fashion. More specifically, studies typically test a single benefit hypothesized to be associated with physical education (e.g. body mass index [BMI]) while excluding others (e.g. social skills) and not controlling for important confounds (e.g. diet).…
Descriptors: Prediction, Eating Habits, Body Composition, Academic Achievement
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