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Atadero, Rebecca A.; Rambo-Hernandez, Karen E.; Balgopal, Meena M. – Journal of Engineering Education, 2015
Background: Engineering programs strive to retain students and prepare them for engineering careers. Introducing group design projects into courses may help keep students interested while also improving their learning outcomes. Purpose/Hypothesis: This study measures differences in student content knowledge and intention to persist in engineering…
Descriptors: Social Cognition, Career Choice, Comparative Analysis, Engineering Education
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Lott, Joe L., II.; Hernandez, Jose; King, Joe P.; Brown, Tiffany; Fajardo, Ismael – Research in Higher Education, 2013
Using data from the Baccalaureate and Beyond Longitudinal Study (B&B:93/03) of College Graduates, we use structural equation modeling to model the relationships between college major, values held in college, collegiate community service participation, and the post-college political participation of college graduates by public versus private…
Descriptors: Public Colleges, Private Colleges, College Graduates, Citizen Participation
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Bergsmann, Evelyn M.; Van De Schoot, Rens; Schober, Barbara; Finsterwald, Monika; Spiel, Christiane – Journal of School Psychology, 2013
Teachers promote student learning and well-being in school by establishing a supportive classroom structure. The term "classroom structure" refers to how teachers design tasks, maintain authority, and evaluate student achievement. Although empirical studies have shown the relation of classroom structure to student motivation, achievement, and…
Descriptors: Classroom Environment, Questionnaires, Well Being, Aggression
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Lin, Guan-Chyun; Wen, Zhonglin; Marsh, Herbert W.; Lin, Huey-Shyan – Structural Equation Modeling: A Multidisciplinary Journal, 2010
The purpose of this investigation is to compare a new (double-mean-centering) strategy to estimating latent interactions in structural equation models with the (single) mean-centering strategy (Marsh, Wen, & Hau, 2004, 2006) and the orthogonalizing strategy (Little, Bovaird, & Widaman, 2006; Marsh et al., 2007). A key benefit of the…
Descriptors: Structural Equation Models, Methods, Interaction, Computation
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Okech, David – Research on Social Work Practice, 2012
Objectives: Using baseline and second wave data, the study evaluated the measurement and structural properties of parenting stress, personal mastery, and economic strain with N = 381 lower income parents who decided to join and those who did not join in a child development savings account program. Methods: Structural equation modeling mean and…
Descriptors: Child Rearing, Child Development, Structural Equation Models, Statistical Analysis
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Kouwenberg, Maartje; Rieffe, Carolien; Theunissen, Stephanie C. P. M.; Oosterveld, Paul – Journal of Deaf Studies and Deaf Education, 2012
Frequent somatic complaints are not only a problem in themselves but also related to other difficulties. So far, no conclusive findings have been reported about the prevalence of and factors underlying these complaints in children and adolescents who are deaf or hard of hearing (DHH). Such information would be valuable for prevention and…
Descriptors: Structural Equation Models, Incidence, Hearing Impairments, Children
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Leite, Walter L.; Stapleton, Laura M. – Journal of Experimental Education, 2011
In this study, the authors compared the likelihood ratio test and fit indexes for detection of misspecifications of growth shape in latent growth models through a simulation study and a graphical analysis. They found that the likelihood ratio test, MFI, and root mean square error of approximation performed best for detecting model misspecification…
Descriptors: Structural Equation Models, Simulation, Geometric Concepts, Sample Size
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Carlson, Marie D.; Mendle, Jane; Harden, K. Paige – Developmental Psychology, 2014
Youth who experience adverse environments in early life initiate sexual activity at a younger age, on average, than those from more advantaged circumstances. Evolutionary theorists have posited that ecological stress precipitates earlier reproductive and sexual onset, but it is unclear how stressful environments interact with genetic influences on…
Descriptors: Sexuality, Age Differences, Environmental Influences, Twins
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Hannon, Brenda – Reading Research Quarterly, 2012
Although a considerable amount of evidence has been amassed regarding the contributions of lower-level word processes, higher-level processes, and working memory to reading comprehension, little is known about the relationships among these sources of individual differences or their relative contributions to reading comprehension performance. This…
Descriptors: Program Effectiveness, Reading Comprehension, Structural Equation Models, Short Term Memory
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Parkin, Jason R.; Beaujean, A. Alexander – Journal of School Psychology, 2012
This study used structural equation modeling to examine the effect of Stratum III (i.e., general intelligence) and Stratum II (i.e., Comprehension-Knowledge, Fluid Reasoning, Short-Term Memory, Processing Speed, and Visual Processing) factors of the Cattell-Horn-Carroll (CHC) cognitive abilities, as operationalized by the Wechsler Intelligence…
Descriptors: Intelligence, Structural Equation Models, Achievement Tests, Measures (Individuals)
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Yang, Kai-Lin – Educational Studies in Mathematics, 2012
In this study, we explored the structural relationship between the students' perceived use of cognitive and metacognitive reading strategies (CMRS) and their reading comprehension of geometry proof (RCGP), and we also examined the differences in students' perceived use of reading strategies among the poor, moderate and good comprehenders. A sample…
Descriptors: Reading Comprehension, Reading Strategies, Factor Analysis, Grade 9
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McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
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Harris, Jenine K.; Cohen, Elisia L.; Wyrwich, Kathleen W.; Luke, Douglas A. – Health Education & Behavior, 2011
The authors surveyed 1,998 Missourians to evaluate (a) awareness and (b) understanding of messages about the impact of tobacco use in Missouri, (c) belief in the accuracy of the messages, and (d) intention to vote for a tobacco tax increase on the basis of the messages. Using structural equation modeling, the relationships among these four…
Descriptors: Smoking, Structural Equation Models, Surveys, Voting
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Jiang, Yi; Song, Juyeon; Lee, Minhye; Bong, Mimi – Educational Psychology, 2014
The purposes of the present study were to investigate (a) how the subjectively perceived achievement goals of significant others would predict the academic self-efficacy and achievement goals of Korean adolescents and (b) how those self-efficacy and achievement goals in turn predicted their achievement. We also compared these predictive…
Descriptors: Self Efficacy, Academic Achievement, Goal Orientation, Middle School Students
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Wang, Jing-Ru; Chen, Shin-Feng; Fang, I.; Chou, Ching-Ting – International Journal of Science Education, 2014
This study used a Chinese-language version of the Index of Science Reading Awareness to explore the science reading metacognition and comprehension of Taiwanese students. Structural equation modelling results confirmed the underlying model comprised three clusters of metacognitive knowledge: beliefs and confidence in science reading, knowledge of…
Descriptors: Foreign Countries, Metacognition, Reading Comprehension, Science Instruction
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