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McNeish, Daniel – Journal of Experimental Education, 2018
Small samples are common in growth models due to financial and logistical difficulties of following people longitudinally. For similar reasons, longitudinal studies often contain missing data. Though full information maximum likelihood (FIML) is popular to accommodate missing data, the limited number of studies in this area have found that FIML…
Descriptors: Growth Models, Sampling, Sample Size, Hierarchical Linear Modeling
Clark, D. Angus; Bowles, Ryan P. – Grantee Submission, 2018
In exploratory item factor analysis (IFA), researchers may use model fit statistics and commonly invoked fit thresholds to help determine the dimensionality of an assessment. However, these indices and thresholds may mislead as they were developed in a confirmatory framework for models with continuous, not categorical, indicators. The present…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Monte Carlo Methods
McIntosh, Kent; Mercer, Sterett H.; Nese, Rhonda N.T.; Strickland-Cohen, M. Kathleen; Kittelman, Angus; Hoselton, Robert; Horner, Robert H. – Grantee Submission, 2018
In this 3-year prospective study, we tested the extent to which school-, practice-, and district-level variables predicted sustained implementation for schools in various stages of implementation of school-wide positive behavioral interventions and supports (SWPBIS) Tier 1 (universal) systems. Staff from 860 schools in 14 U.S. states completed a…
Descriptors: Predictor Variables, Program Implementation, Positive Behavior Supports, Fidelity
Arif Rachmatullah; Sariwulan Diana; Minsu Ha – Journal of Baltic Science Education, 2018
The purpose of this research is to examine Indonesian upper-secondary school students' learning orientation in science via generating structural equation modeling of conceptions of, approaches to and self-efficacy in learning science, and seeking whether the model is significantly different based on gender. A total of 600 (63% females) Indonesian…
Descriptors: Foreign Countries, Secondary School Students, Science Education, Gender Differences
Erck, Ryan W.; Sriram, Rishi – Journal of College and University Student Housing, 2022
Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…
Descriptors: Undergraduate Students, Living Learning Centers, Correlation, Models
Baldwin, Erika; Heilmann, John; Finneran, Denise; Cho, Chi C.; Moyle, Maura – Journal of Research in Reading, 2022
Background: Numerous studies have observed a significant and unique relationship between children's use of nonmainstream dialect and reading outcomes. We aimed to examine the relationship between nonmainstream dialect and reading at its roots by completing a preliminary evaluation of the relationship between African American English (AAE) dialect…
Descriptors: Black Dialects, African American Students, Structural Equation Models, Reading Skills
Lee, Yi-Fang; Nguyen, Hoang Bao Ngoc; Sung, Hsiu-Te – Environmental Education Research, 2022
Depletion of resources and climate change are important factors impacting sustainable development. Energy education, as part of education for sustainable development, is considered an efficient way to raise students' awareness of environmental protection and energy saving. This study aimed at understanding the energy literacy of high school…
Descriptors: Energy Conservation, Sustainable Development, Environmental Education, Knowledge Level
Bonifacci, Paola; Trambagioli, Nicole; Bernabini, Luca; Tobia, Valentina – European Journal of Psychology of Education, 2022
The aim of the present study was to test environmental and cognitive variables as possible cross-domain predictors of early literacy and numeracy skills. One hundred forty-eight preschool children (mean age = 64.36 months ± 3.33) were enrolled in the study. The battery included a home literacy and home numeracy questionnaire, measures and…
Descriptors: Numeracy, Emergent Literacy, Preschool Children, Verbal Ability
Supriadi, Didi; Usman, Husaini; Jabar, Abdul; Widyastuti, Ima – Research in Educational Administration & Leadership, 2021
Good school governance is basically about effective principal leadership used to create appropriate processes, systems, and management for ensuring the sustainability and continuity of schools. This research aims to examine the model of good school governance and to establish the correlation between good school governance and the principal's…
Descriptors: Principals, Decision Making, Instructional Leadership, Leadership Effectiveness
Kalantarypour, Mahsa; Modirkhamene, Sima – Iranian Journal of Language Teaching Research, 2021
The capability of choosing appropriate coping strategies while attempting to manage classroom context seems to determine learning satisfaction ratings and, therefore, achievement by university learners. However, it is still not clear whether coping style (CP) is a strong mediator of classroom management (CM). Additionally, the degree of…
Descriptors: Coping, Second Language Learning, Second Language Instruction, Classroom Techniques
Chen Zong – ProQuest LLC, 2021
A predictive model of undergraduate graduation rate at the institutional level is important and useful to researchers, administrators, and policy makers in higher education. Graduation rate is a key indicator for higher education institutional performance. This study aimed to replicate, revise, and validate the model of Institutional Performance…
Descriptors: Undergraduate Students, Graduation Rate, Public Colleges, Structural Equation Models
Rose, Chad A.; Slaten, Christopher D.; Preast, June L. – Behavioral Disorders, 2017
School-aged youth face a number of academic and behavioral challenges within the educational environment, including bullying involvement. Unfortunately, bullying has been linked to a number of detrimental psychosocial outcomes. Scholars have attempted to establish predictive profiles for youth involved in bullying. These profiles include bully…
Descriptors: Bullying, Self Esteem, Structural Equation Models, Longitudinal Studies
Garn, Alex C. – Journal of Teaching in Physical Education, 2017
Multidimensional measurement is a common theme in motivation research because many constructs are conceptualized as having an overarching general factor (e.g., situational interest) and specific dimensions (e.g., attention demand, challenge, exploration intention, instant enjoyment, novelty). This review addresses current issues associated with…
Descriptors: Physical Education, Student Motivation, Elementary School Students, Structural Equation Models
Tock, Jamie L.; Moxley, Jerad H. – Metacognition and Learning, 2017
The metacognitive self-regulation (MSR) scale is among the most widely used measures of metacognition in educational research. However, the psychometric properties and validity of the scale have not been well established. A series of analyses on a college sample were performed to address this issue. In Study 1, a split-sample exploratory (EFA) and…
Descriptors: Learning Strategies, Questionnaires, Structural Equation Models, Metacognition
Kim, Minjung; Kwok, Oi-Man; Yoon, Myeongsun; Willson, Victor; Lai, Mark H. C. – Journal of Experimental Education, 2016
This study investigated the optimal strategy for model specification search under the latent growth modeling (LGM) framework, specifically on searching for the correct polynomial mean or average growth model when there is no a priori hypothesized model in the absence of theory. In this simulation study, the effectiveness of different starting…
Descriptors: Statistical Analysis, Growth Models, Simulation, Structural Equation Models