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Sarver, Dustin E.; Rapport, Mark D.; Kofler, Michael J.; Scanlan, Sean W.; Raiker, Joseph S.; Altro, Thomas A.; Bolden, Jennifer – Learning and Individual Differences, 2012
The current study examined individual differences in children's phonological and visuospatial short-term memory as potential mediators of the relationship among attention problems and near- and long-term scholastic achievement. Nested structural equation models revealed that teacher-reported attention problems were associated negatively with…
Descriptors: Remedial Programs, Structural Equation Models, Academic Failure, Academic Achievement
Kowshik, Raghu V. – ProQuest LLC, 2010
Although few firms can function without an information technology (IT) department, senior executives often consider IT as secondary. Historically, studies have found IT departments to have low influence and power status compared to other departments. Few, if any, studies have investigated what factors contribute to this subservient position. Three…
Descriptors: Information Technology, Departments, Influences, Power Structure
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Chow, Sy-Miin; Ho, Moon-ho R.; Hamaker, Ellen L.; Dolan, Conor V. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
State-space modeling techniques have been compared to structural equation modeling (SEM) techniques in various contexts but their unique strengths have often been overshadowed by their similarities to SEM. In this article, we provide a comprehensive discussion of these 2 approaches' similarities and differences through analytic comparisons and…
Descriptors: Structural Equation Models, Differences, Statistical Analysis, Models
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Bray, Bethany C.; Lanza, Stephanie T.; Collins, Linda M. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
To understand one developmental process, it is often helpful to investigate its relations with other developmental processes. Statistical methods that model development in multiple processes simultaneously over time include latent growth curve models with time-varying covariates, multivariate latent growth curve models, and dual trajectory models.…
Descriptors: Structural Equation Models, Development, Statistical Analysis, Drinking
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Weigl, Matthias; Hornung, Severin; Parker, Sharon K.; Petru, Raluca; Glaser, Jurgen; Angerer, Peter – Journal of Vocational Behavior, 2010
Drawing on Conservation of Resources Theory and previous research on work engagement, the present study investigates gain spirals between employees' engagement and their task, social, and personal resources. It focuses on the key resources of job control, positive work relationships, and active coping behavior. In a three-wave design, work…
Descriptors: Intervals, Structural Equation Models, Physicians, Coping
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Levy, Roy – Applied Psychological Measurement, 2010
SEMModComp, a software package for conducting likelihood ratio tests for mean and covariance structure modeling is described. The package is written in R and freely available for download or on request.
Descriptors: Structural Equation Models, Tests, Computer Software, Models
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Bentler, Peter M.; Satorra, Albert; Yuan, Ke-Hai – Structural Equation Modeling: A Multidisciplinary Journal, 2009
A typical structural equation model is intended to reproduce the means, variances, and correlations or covariances among a set of variables based on parameter estimates of a highly restricted model. It is not widely appreciated that the sample statistics being modeled can be quite sensitive to outliers and influential observations, leading to bias…
Descriptors: Smoking, Structural Equation Models, Cancer, Correlation
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Gagne, Phill; Furlow, Carolyn F. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Simulation researchers are sometimes faced with the need to use multiple statistical software packages in the process of conducting their research, potentially having to go between software packages manually. This can be a tedious and time-consuming process that generally motivates researchers to use fewer replications in their simulations than…
Descriptors: Structural Equation Models, Computer Software, Researchers, Simulation
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Kruse, Tracy; Starobin, Soko S.; Chen, Yu; Baul, Tushi; Santos Laanan, Frankie – Community College Journal of Research and Practice, 2015
This quantitative study examined how social capital and finances influenced community college students' intent to transfer to a four-year institution within STEM (science, technology, engineering, and math) fields. Focusing on the community college students enrolled in a rural midwestern state, the authors employed a structural equation modeling…
Descriptors: Statistical Analysis, Social Capital, Educational Finance, Two Year College Students
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Lu, Jiafang; Jiang, Xinhui; Yu, Huen; Li, Dongyu – School Effectiveness and School Improvement, 2015
This study focused on the collaborative structure-building behavior of school principals and examined how such behavior affects teacher empowerment. More important, it tested the mediating effects of participative management and learning culture. By collecting nested data from 104 schools in Hong Kong and adopting multilevel structural equation…
Descriptors: Self Efficacy, Professional Autonomy, Teacher Empowerment, Principals
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Kang, Minseok; Shin, Won sug – Journal of Educational Computing Research, 2015
This study proposes an extended technology acceptance model to predict acceptance of synchronous e-learning by examining relationships among variables associated with factors influencing the technology acceptance of synchronous e-learning. Learners at an online university participated through an online survey; there were 251 respondents in all.…
Descriptors: Foreign Countries, Graduate Students, Student Attitudes, Adoption (Ideas)
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Han, Jisu; Neuharth-Pritchett, Stacey – Journal of Research in Childhood Education, 2015
This study examined interactions between preschool children and parents during shared book reading by analyzing parental self-report data. Using confirmatory factor analytic procedures and structural equation modeling, this study developed a scale measuring meaning-related and print-related reading interactions and examined their associations with…
Descriptors: Preschool Children, Parent Child Relationship, Reading Aloud to Others, Reading Skills
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Hakkarainen, Airi M.; Holopainen, Leena K.; Savolainen, Hannu K. – Journal of Learning Disabilities, 2015
In this longitudinal study, we investigated the role of word reading and mathematical difficulties measured in 9th grade as factors for receiving educational support for learning in upper secondary education in Grades 10 to 12 (from ages 16 to 19) and furthermore as predictors of dropout from upper secondary education within 5 years after…
Descriptors: Followup Studies, Dropout Prevention, Dropout Research, Secondary Education
Simon, Rebecca A.; Aulls, Mark W.; Dedic, Helena; Hubbard, Kyle; Hall, Nathan C. – Canadian Journal of Education, 2015
To address continually decreasing enrollment and rising attrition in post-secondary STEM degree (science, technology, engineering, and mathematics) programs, particularly for women, the present study examines the utility of motivation and emotion variables to account for persistence and achievement in science in male and female students…
Descriptors: STEM Education, Academic Persistence, Student Motivation, Emotional Response
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Plotnikoff, Ronald C.; Lubans, David R.; Costigan, Sarah A.; McCargar, Linda – Health Education & Behavior, 2013
Purpose: To examine the utility of the theory of planned behavior (TPB) for explaining physical activity (PA) intention and behavior among a large population sample of overweight and obese adolescents (Alberta, Canada), using a web-based survey. Secondary objectives were to examine the mediating effects of the TPB constructs and moderating effects…
Descriptors: Foreign Countries, Obesity, Behavior Theories, Physical Activity Level
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