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Julian F. Lohmann; Steffen Zitzmann; Martin Hecht – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…
Descriptors: Time Management, Behavioral Science Research, Predictive Validity, Predictor Variables
Salloum, Serena J.; Goddard, Roger D.; Larsen, Ross – Teachers College Record, 2017
Background: Schools face pressure to promote equitable student outcomes as the achievement gap continues to persist. The authors examine different ways in which social capital has been conceptualized as well as prior theory and research on its formation and consequences. While some theoretical and empirical work conceptualizes social capital as a…
Descriptors: Social Capital, Academic Achievement, Correlation, High School Students
Martin, Andrew J.; Lazendic, Goran – Journal of Educational Psychology, 2018
With the rise of large-scale academic assessment programs around the world, there is a need to better understand the factors predicting students' achievement in these assessment exercises. This investigation into national numeracy assessment drew on ecological and transactional conceptualizing involving student, student/home, and school factors.…
Descriptors: Numeracy, Mathematics Tests, National Competency Tests, Predictor Variables
Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
Bass, Ellyn Charlotte; Saldarriaga, Lina; Cunha, Josafa; Chen, Bin-Bin; Santo, Jonathan Bruce; Bukowski, William M. – International Journal of Behavioral Development, 2018
To better address the many consequences of peer victimization, research must identify not only aspects of individuals that put them at risk for victimization, such as aggression, but also aspects of the context that influence the extent of that risk. To this end, this study examined the contextual influences of gender, same-sex peer group norms of…
Descriptors: Cross Cultural Studies, Structural Equation Models, Peer Groups, Victims
Pandya, Samta P. – Religious Education, 2018
Based on a one-year longitudinal experimental study with 3,782 kindergarten school children across 15 countries, this article examines the association between prayer and happiness. Results show that the post-test scores on the faces scale were higher for the participant group who had taken the prayer lessons vis-à-vis the comparison group.…
Descriptors: Scores, Cross Cultural Studies, Christianity, Pretests Posttests
Font, Sarah A.; Berger, Lawrence M. – Child Development, 2015
Associations between experiencing child maltreatment and adverse developmental outcomes are widely studied, yet conclusions regarding the extent to which effects are bidirectional, and whether they are likely causal, remain elusive. This study uses the Fragile Families and Child Wellbeing Study, a birth cohort of 4,898 children followed from birth…
Descriptors: Child Abuse, Parent Child Relationship, Child Development, Young Children
Park, Sira; Holloway, Susan D. – Journal of Educational Research, 2017
Policymakers view parental involvement (PI) as a crucial component of school reform efforts, but evidence of its effect on student achievement is equivocal. Using the Early Childhood Longitudinal Study-Kindergarten Cohort dataset, we examined the long-term impact on student- and school-level achievement of three types of school-based PI: PI to…
Descriptors: Longitudinal Studies, Parent Participation, Hierarchical Linear Modeling, Reading Achievement
Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
Suchodoletz, Antje; Larsen, Ross A. A.; Gunzenhauser, Catherine; Fäsche, Anika – British Journal of Educational Psychology, 2015
Background: Educational processes and outcomes are influenced by a multitude of factors, including individual and contextual characteristics. Recently, studies have demonstrated that student and context characteristics may produce unique and cumulative effects on educational outcomes. Aims: The study aimed to investigate (1) the relative…
Descriptors: Foreign Countries, Reading Skills, Spelling, Student Characteristics
Kahraman, Nilufer; Cuddy, Monica M.; Clauser, Brian E. – Applied Psychological Measurement, 2013
This research explores the usefulness of latent growth curve modeling in the study of pacing behavior and test speededness. Examinee response times from a high-stakes, computerized examination, collected before and after the examination was subjected to a timing change, were analyzed using a series of latent growth curve models to detect…
Descriptors: Pacing, Models, Reaction Time, Timed Tests
Ring, J. Kirk; Kellermanns, Franz W.; Barnett, Tim; Pearson, Allison W.; Pearson, Rodney A. – Journal of Management Education, 2013
This article reports the results of two studies that examined (a) students' intentions to use a web-based course management system, (b) their actual use of a course management system, and (c) the effect of their use of a course management system on classroom performance. We found that students' attitudes toward the course management…
Descriptors: Performance Factors, Web Based Instruction, Technology Uses in Education, Courseware