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Showing 1 to 15 of 19 results Save | Export
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Shaw, Mairead; Flake, Jessica K. – Educational Measurement: Issues and Practice, 2023
Clustered data structures are common in many areas of educational and psychological research (e.g., students clustered in schools, patients clustered by clinician). In the course of conducting research, questions are often administered to obtain scores reflecting latent constructs. Multilevel measurement models (MLMMs) allow for modeling…
Descriptors: Hierarchical Linear Modeling, Research Methodology, Data Analysis, Structural Equation Models
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Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
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Paek, Insu; Cui, Mengyao; Öztürk Gübes, Nese; Yang, Yanyun – Educational and Psychological Measurement, 2018
The purpose of this article is twofold. The first is to provide evaluative information on the recovery of model parameters and their standard errors for the two-parameter item response theory (IRT) model using different estimation methods by Mplus. The second is to provide easily accessible information for practitioners, instructors, and students…
Descriptors: Item Response Theory, Computation, Factor Analysis, Statistical Analysis
Nese, Joseph F. T.; Lai, Cheng-Fei; Anderson, Daniel – Behavioral Research and Teaching, 2013
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…
Descriptors: Longitudinal Studies, Data Analysis, Educational Research, Hierarchical Linear Modeling
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Estrada, Joey Nuñez, Jr.; Gilreath, Tamika D.; Astor, Ron Avi; Benbenishty, Rami – Journal of School Violence, 2014
There is insufficient empirical evidence exploring associations between gang membership and school violence behaviors. Using a sample of 272,863 high school students, this study employs a structural equation model to examine how school risk and protective behaviors and attitudes mediate effects of gang members' involvement with school violence…
Descriptors: Juvenile Gangs, Violence, At Risk Persons, Resilience (Psychology)
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Klassen, Robert M.; Ang, Rebecca P.; Chong, Wan Har; Krawchuk, Lindsey L.; Huan, Vivien S.; Wong, Isabella Y. F.; Yeo, Lay See – Journal of Research on Adolescence, 2009
In this study, we explore academic procrastination and associated motivation variables in 612 adolescents from Canada and Singapore. Few studies have explored adolescent procrastination and no previous studies have investigated adolescent procrastination using a cross-cultural framework. Singaporean adolescents reported higher levels of…
Descriptors: Adolescents, Cross Cultural Studies, Self Efficacy, Structural Equation Models
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Mo, Yun; Singh, Kusum – RMLE Online: Research in Middle Level Education, 2008
This study focused on parents' relationships and involvement in their children's lives and the effects on the students' school engagement and school performance. The study used the Wave I data from the National Longitudinal Study of Adolescent Health (Add Health). The data on seventh and eighth grade students' school and family experiences were…
Descriptors: Parent Participation, Parent School Relationship, Correlation, Academic Achievement
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Sahin, Ismail; Shelley, Mack – Educational Technology & Society, 2008
In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, &…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Online Courses
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Pituch, Keenan A.; Lee, Yao-kuei – Computers and Education, 2006
The benefits of an e-learning system will not be maximized unless learners use the system. This study proposed and tested alternative models that seek to explain student intention to use an e-learning system when the system is used as a supplementary learning tool within a traditional class or a stand-alone distance education method. The models…
Descriptors: Participant Characteristics, Structural Equation Models, Distance Education, Internet
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Addi-Raccah, Audrey; Mazawi, Andre Elias – Educational Studies, 2004
A major shortcoming of macro-spatial research undertaken to date in Israel pertains to the neglect of state investment-related measures and the extent to which they mediate unequal opportunities to learn (OTL) and educational opportunities between localities. In the present study, OTL refer to class size and high-school tracking patterns.…
Descriptors: Foreign Countries, Credentials, Structural Equation Models, Jews
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Pike, Gary R. – Review of Higher Education, 1992
A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…
Descriptors: Academic Achievement, Achievement Gains, College Students, Higher Education
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Cabrera, Alberto F.; And Others – Journal of Higher Education, 1993
A study integrated the major propositions of 2 theories of college persistence (Tinto's and Bean's) and used the resulting framework to survey a population of 466 first-year college students at 1 university. Findings supported most of the hypothesized links between the models and revealed a complex role for environmental factors in retention.…
Descriptors: Academic Persistence, College Environment, College Freshmen, College Students
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Sivo, Stephen A.; Pan, Cheng-Chang; Hahs-Vaughn, Debbie L. – British Journal of Educational Technology, 2007
Factors affecting the student use of a course management system in a web-enhanced course are investigated using the technology acceptance model. Represented in the present study is the second phase of the analysis, with a focus on the causal relationship of subjective norms to student attitudes towards WebCT and their effect on three dependent…
Descriptors: Student Attitudes, Online Courses, Structural Equation Models, Web Based Instruction
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Brown, Gavin T. L. – Assessment in Education Principles Policy and Practice, 2004
Teachers' conceptions of assessment can be understood in terms of their agreement or disagreement with four purposes to which assessment may be put, specifically, (a) improvement of teaching and learning, (b) school accountability, (c) student accountability, or (d) treating assessment as irrelevant. A 50-item Teachers' Conceptions of Assessment…
Descriptors: Student Evaluation, Foreign Countries, Accountability, Questionnaires
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Evans, W. Douglas; Ulasevich, Alec; Blahut, Stephen – Health Education & Behavior, 2004
This study examined adult and group influences on youth participation in youth empowerment (YE) Statewide Youth Movement Against Tobacco Use programs. Adults provide individual guidance to youth groups and through existing tobacco control networks affect the social context in which YE programs are implemented. The authors tested hypotheses about…
Descriptors: Empowerment, Youth Programs, Smoking, Group Structure
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