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Showing all 12 results Save | Export
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Sass, Daniel A.; Castro-Villarreal, Felicia; Wilkerson, Steve; Guerra, Norma; Sullivan, Jeremy – Review of Higher Education, 2018
Student retention models were tested via structural equation modeling to examine the interrelations and predictability among socioeconomic status, psychosocial, and student success variables with a sample of 445 undergraduate students attending a large Hispanic serving institution. The proposed theoretical model included socioeconomic status…
Descriptors: Undergraduate Students, Hispanic American Students, Structural Equation Models, Predictor Variables
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Dixon-Roman, Ezekiel J.; Everson, Howard T.; McArdle, John J. – Teachers College Record, 2013
Background: Educational policy makers and test critics often assert that standardized test scores are strongly influenced by factors beyond individual differences in academic achievement such as family income and wealth. Unfortunately, few empirical studies consider the simultaneous and related influences of family income, parental education, and…
Descriptors: College Entrance Examinations, Poverty, Racial Differences, Scores
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Davison, Mark L.; Semmes, Robert; Huang, Lan; Close, Catherine N. – Educational and Psychological Measurement, 2012
Data from 181 college students were used to assess whether math reasoning item response times in computerized testing can provide valid and reliable measures of a speed dimension. The alternate forms reliability of the speed dimension was .85. A two-dimensional structural equation model suggests that the speed dimension is related to the accuracy…
Descriptors: Computer Assisted Testing, Reaction Time, Reliability, Validity
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Wilson, Hope E.; Siegle, Del; McCoach, D. Betsy; Little, Catherine A.; Reis, Sally M. – Gifted Child Quarterly, 2014
Academic self-concept predicts students' future goals and is affected by a student's relative success compared with his or her peer group. This exploratory study used structural equation modeling to examine the contributions of the perceived level of difficulty of the curriculum, in addition to the contributions of social comparison and…
Descriptors: Academically Gifted, Self Concept, Academic Ability, Structural Equation Models
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Tolar, Tammy Daun; Lederberg, Amy R.; Fletcher, Jack M. – Educational Psychology, 2009
The goal of this study was to develop and evaluate a structural model of the relations among cognitive abilities and arithmetic skills and college students' algebra achievement. The model of algebra achievement was compared to a model of performance on the Scholastic Assessment in Mathematics (SAT-M) to determine whether the pattern of relations…
Descriptors: Short Term Memory, Spatial Ability, Computation, Arithmetic
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Boyle, Jennifer R.; Boekeloo, Bradley O. – Journal of Drug Education, 2009
Using a cross-sectional survey, data were collected from 265 first-year college students to determine if parent-student alcohol communication is associated with college drinking or drinking consequences and if this relationship is mediated by students' parental subjective norms, attitudes toward drinking, and perceived risk. Structural equation…
Descriptors: College Freshmen, Structural Equation Models, Drinking, Parent Child Relationship
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Coyle, Thomas R.; Pillow, David R. – Intelligence, 2008
This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…
Descriptors: Intelligence, Grade Point Average, Structural Equation Models, Predictive Validity
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Aberg-Bengtsson, Lisbeth – Scandinavian Journal of Educational Research, 2005
The aim of the present study was to further investigate the properties of a "quantitative" factor previously identified in the "diagrams, tables and maps" subtest of SweSAT. The analyses were carried out with a structural equation modelling technique on the spring 1991 version of SweSAT with 19-year-old test takers and were…
Descriptors: Aptitude Tests, Academic Aptitude, Structural Equation Models
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Chen, Chuansheng; Himsel, Amy; Kasof, Joseph; Greenberger, Ellen; Dmitrieva, Julia – Journal of Creative Behavior, 2006
This study investigated correlates of domain-general and domain-specific components of creativity. 158 college students completed a questionnaire that assessed their motivational and personality traits (i.e., intrinsic and extrinsic motivation, creative personality, and originality in word association) as well as intellectual abilities (SAT verbal…
Descriptors: Personality Traits, Creativity, Structural Equation Models, Incentives
Everson, Howard T.; Millsap, Roger E. – College Board, 2005
This report presents evidence that links participation in extracurricular activities (ECAs) in high school with higher SAT Reasoning Test™ (SAT®) scores. Using structural equation models (SEMs) with latent means, we analyzed data from a national sample of college-bound high school students. A series of structural equation models--isolating the…
Descriptors: College Entrance Examinations, Extracurricular Activities, Scores, Structural Equation Models
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Ruban, Lilia M.; McCoach, D. Betsy – Review of Higher Education, 2005
This study examined the differential impacts of SAT scores and high school rank, college academic level, motivational variables, and self-regulatory variables in explaining variance in the academic achievement of male and female collegians using structural equation modeling and multiple groups analyses. Significantly, in light of earlier research,…
Descriptors: Gender Differences, Grades (Scholastic), Structural Equation Models, Scores
Everson, Howard T.; Millsap, Roger E. – College Entrance Examination Board, 2004
This paper explores the complex, hierarchical relationship among school characteristics, individual differences in academic achievement, extracurricular activities, and socioeconomic background on performance on the SAT Reasoning Test™ verbal and mathematical sections. Using multilevel structural equation models (SEMs) with latent means, data from…
Descriptors: College Entrance Examinations, Institutional Characteristics, Correlation, Individual Differences