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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
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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
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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
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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
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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
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Lai, Yi-Horng – Pedagogical Research, 2019
Background: Interactive whiteboard (IWB) is an important tool in computer-assisted instruction (CAI). Interactive whiteboard is an electronic instructional and interactive technology designed by use for teachers. Some studies declare that teachers' behaviors in using interactive whiteboard only be infected by perceived usefulness, for teachers are…
Descriptors: Educational Technology, Computer Uses in Education, Visual Aids, Educational Research
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Bapat, Dhannajay – Journal of Financial Counseling and Planning, 2019
In terms of future revenue stream, the potential of young adults is considered to be significant. The study is relevant to India as the segment dominates the population. The objective of the study is to examine the antecedents to financial management behavior for young adults. One hundred and sixty responses were obtained from respondents. While…
Descriptors: Money Management, Young Adults, Structural Equation Models, Behavior Patterns
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Abdul Rabu, Siti Nazleen; Hussin, Haniza; Bervell, Brandford – Education and Information Technologies, 2019
The integration of Quick Response (QR) codes in classrooms have been identified as an important tool in promoting active as well as distributed learning, especially in higher education. Even though the versatility of this technology within the educational milieu cannot be over-emphasized, the initial perceptions of students who are at the centre…
Descriptors: Coding, Technology Uses in Education, Higher Education, Technology Integration
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Yildiz Durak, Hatice – Journal of Computing in Higher Education, 2019
Social network sites (SNSs) has a big potential to improve teaching and learning experience. It has become a necessity for teachers to transfer this technologies to learning environments has become a requirement. For this reason, the use of SNSs in the education process of preservice teachers who are the teachers of the future and examination of…
Descriptors: Social Networks, Teaching Methods, Learning Experience, Preservice Teacher Education
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Schoeps, Konstanze; Montoya-Castilla, Inmaculada; Raufelder, Diana – Journal of School Health, 2019
Background: Based on Mayer and Salovey's model of emotional intelligence, this study examined whether perceived stress mediates the interplay of emotional intelligence and life satisfaction for girls and boys during early and middle adolescence. Methods: Using multigroup structural equation modeling with questionnaire data from a sample of Spanish…
Descriptors: Anxiety, Stress Variables, Emotional Intelligence, Life Satisfaction
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Owusu-Agyeman, Yaw; Fourie-Malherbe, Magda – Studies in Continuing Education, 2019
Adults who enrol in higher education institutions (HEIs) often have contributions that could serve in enhancing the planning and implementation of their programmes. Importantly, while terms such as active learner engagement and knowledge co-creation dominate adult learning discussions, there are unanswered questions pertaining to how adult…
Descriptors: Adult Learning, Higher Education, Learner Engagement, Structural Equation Models
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Otoo, Frank Nana Kweku – European Journal of Training and Development, 2019
Purpose: The purpose of this paper is to examine the mediating role of employee competencies in the relationship between human resource development (HRD) practices and organizational effectiveness. Design/methodology/approach: An integrated research model was developed by combining principal factors from existing literature. Data were collected…
Descriptors: Human Resources, Labor Force Development, Case Studies, Organizational Effectiveness
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Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John; Stark, Stephen – Educational and Psychological Measurement, 2019
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Computation, Identification
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McLoughlin, Larisa T.; Spears, Barbara A.; Taddeo, Carmel M.; Hermens, Daniel F. – Psychology in the Schools, 2019
It is well documented that cyberbullying can lead to adverse mental health outcomes. Separate research shows that higher levels of social connectedness may result in more positive mental health outcomes, however, the relationship between social connectedness and mental health in the face of cyberbullying is not yet fully understood. An online…
Descriptors: Bullying, Computer Mediated Communication, Mental Health, Interpersonal Relationship
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