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Showing all 8 results Save | Export
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Tamboer, Peter; Vorst, Harrie C. M.; Oort, Frans J. – Journal of Learning Disabilities, 2016
Two subtypes of dyslexia (phonological, visual) have been under debate in various studies. However, the number of symptoms of dyslexia described in the literature exceeds the number of subtypes, and underlying relations remain unclear. We investigated underlying cognitive features of dyslexia with exploratory and confirmatory factor analyses. A…
Descriptors: Dyslexia, Correlation, Factor Analysis, College Freshmen
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Ozel, Murat; Caglak, Serdar; Erdogan, Mehmet – Learning and Individual Differences, 2013
This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
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Ciorba, Charles R.; Russell, Brian E. – Journal of Research in Music Education, 2014
The purpose of this study was to test a hypothesized model that proposes a causal relationship between motivation and academic achievement on the acquisition of jazz theory knowledge. A reliability analysis of the latent variables ranged from 0.92 to 0.94. Confirmatory factor analyses of the motivation (standardized root mean square residual…
Descriptors: Music Education, Hypothesis Testing, Causal Models, Student Motivation
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Layne, Christopher M.; Olsen, Joseph A.; Baker, Aaron; Legerski, John-Paul; Isakson, Brian; Pasalic, Alma; Durakovic-Belko, Elvira; Dapo, Nermin; Campara, Nihada; Arslanagic, Berina; Saltzman, William R.; Pynoos, Robert S. – Child Development, 2010
Methods are needed for quantifying the potency and differential effects of risk factors to identify at-risk groups for theory building and intervention. Traditional methods for constructing war exposure measures are poorly suited to "unpack" differential relations between specific types of exposure and specific outcomes. This study of…
Descriptors: Intervention, Adolescents, Factor Analysis, War
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Sun, Xiaogeng; Hoffman, Sharon C.; Grady, Marilyn L. – International Journal of Educational Advancement, 2007
Despite readily available alumni survey data warehoused at many alumni associations and foundations across colleges and universities, researchers have underutilized the abundant available data to identify key predictors of alumni donation, including factors that trigger alumni donation behavior. Utilizing the data from a two-year alumni survey…
Descriptors: Causal Models, Alumni, Gender Differences, Age Differences
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Schumacker, Randall E. – Mid-Western Educational Researcher, 1993
Structural equation models merge multiple regression, path analysis, and factor analysis techniques into a single data analytic framework. Measurement models are developed to define latent variables, and structural equations are then established among the latent variables. Explains the development of these models. (KS)
Descriptors: Causal Models, Data Analysis, Error of Measurement, Factor Analysis
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Kember, David; And Others – American Journal of Distance Education, 1991
Presents a quantitative study of the development of a theoretical model of drop-outs from distance education courses. Data collected by the Distance Education Student Progress (DESP) questionnaire from 1,060 students in Hong Kong investigated how students were able to integrate demands of their academic course with those of families, employers,…
Descriptors: Academic Achievement, Causal Models, Correlation, Distance Education
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McPherson, Gary E.; And Others – Journal of Research in Music Education, 1997
Surveys 101 wind instrumentalists to reveal major differences in the pattern of influences leading to the re-creative skill of performing a repertoire of rehearsed music for a formal examination compared to the creative ability of improvising. Uses a path analysis to determine links between the data and theoretical model. (MJP)
Descriptors: Behavioral Objectives, Causal Models, Context Effect, Correlation