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Teo, Timothy; Lee, Chwee Beng; Chai, Ching Sing; Choy, Doris – Asia Pacific Education Review, 2009
The purpose of this study is to examine the factors that influence pre-service teachers' perceived usefulness of an Information and Communication Technology (ICT) course that was conducted using the student-centred learning (SCL) approach. In this study, perceived usefulness was used as the dependent variable and perceived competence, course…
Descriptors: Foreign Countries, Educational Environment, Preservice Teachers, Student Centered Curriculum
Zhu, Xihe; Chen, Ang; Ennis, Catherine; Sun, Haichun; Hopple, Christine; Bonello, Marina; Bae, Mihae; Kim, Sangmin – Contemporary Educational Psychology, 2009
Students' learning has been the center of schooling. This study examined the contribution of situational interest motivation and cognitive engagement in workbooks to student achievement in learning health-related fitness knowledge. Situational interest, performance on solving workbook problems, and knowledge gain in cardio-respiratory fitness and…
Descriptors: Physical Education, Structural Equation Models, Academic Achievement, Workbooks
van der Aa, Niels; Overbeek, Geertjan; Engels, Rutger C. M. E.; Scholte, Ron H. J.; Meerkerk, Gert-Jan; Van den Eijnden, Regina J. J. M. – Journal of Youth and Adolescence, 2009
This study examined the associations between adolescents' daily Internet use and low well-being (i.e., loneliness, low self-esteem, and depressive moods). We hypothesized that (a) linkages between high levels of daily Internet use and low well-being would be mediated by compulsive Internet use (CIU), and (b) that adolescents with low levels of…
Descriptors: Personality Traits, Structural Equation Models, Adolescents, Internet
Goodboy, Alan K.; Bolkan, San – Western Journal of Communication, 2009
The purpose of this study was to examine a theoretical model of the relationship between teacher misbehaviors and both student communication behavior (i.e., student resistance, student participation) and learning outcomes (i.e., cognitive learning, affective learning, state motivation, communication satisfaction). Participants were 343 students…
Descriptors: Structural Equation Models, Teacher Behavior, Undergraduate Students, Predictor Variables
Dorman, Jeffrey P.; Fraser, Barry J. – Social Psychology of Education: An International Journal, 2009
Research investigated classroom environment antecedent variables and student affective outcomes in Australian high schools. The Technology-Rich Outcomes-Focused Learning Environment Inventory (TROFLEI) was used to assess 10 classroom environment dimensions: student cohesiveness, teacher support, involvement, investigation, task orientation,…
Descriptors: Student Attitudes, Structural Equation Models, Outcomes of Education, Computer Uses in Education
Trentacosta, Christopher J.; Shaw, Daniel S. – Journal of Applied Developmental Psychology, 2009
This study examined relations among emotional self-regulation, peer rejection, and antisocial behavior in a sample of 122 boys from low-income families who participated in a summer camp and were followed longitudinally from early childhood to early adolescence. Emotional self-regulation strategies were coded in early childhood from a waiting task,…
Descriptors: Social Problems, Low Income, Antisocial Behavior, Structural Equation Models
Samuels, Dena Renee – ProQuest LLC, 2010
Faculty members play a significant role in retaining diverse students, faculty, and staff on a college campus based on how culturally inclusive their behavior is. This research elucidates the development of a faculty inclusiveness survey, and tests it on a national random sample of 637 faculty members to determine how prepared they are to build…
Descriptors: Structural Equation Models, Negative Attitudes, Intention, Faculty Development
Milot, Tristan; Ethier, Louise S.; St-Laurent, Diane; Provost, Marc A. – Child Abuse & Neglect: The International Journal, 2010
Objective: This study assessed the mediating role of trauma symptoms in the relation between child maltreatment and behavioral problems. It is based on the postulate that child maltreatment is a severe form of chronic relational trauma that has damaging consequences on the development of children's behavioral regulation. Method: Participants were…
Descriptors: Check Lists, Child Abuse, Structural Equation Models, Posttraumatic Stress Disorder
Fan, Xitao; And Others – 1997
A Monte Carlo study was conducted to assess the effects of some potential confounding factors on structural equation modeling (SEM) fit indices and parameter estimates for both true and misspecified models. The factors investigated were data nonnormality, SEM estimation method, and sample size. Based on the fully crossed and balanced 3x3x4x2…
Descriptors: Estimation (Mathematics), Goodness of Fit, Mathematical Models, Monte Carlo Methods
Peer reviewedMueller, Ralph O. – Structural Equation Modeling, 1997
Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)
Descriptors: Computer Software, Estimation (Mathematics), Goodness of Fit, Identification
Peer reviewedMarsh, Herbert W.; Yeung, Alexander Seeshing – Journal of Educational Psychology, 1997
Data on academic self-concept, school grades, and teacher ratings of achievement were collected from 603 students for three high school subjects in each of three years. Structural equation models show reciprocal effects for prior achievement and academic self-concept for all subjects. Effects were largest for mathematics. (SLD)
Descriptors: Academic Achievement, Causal Models, Etiology, High School Students
Peer reviewedLee, Sik-Yum; And Others – Psychometrika, 1990
A computationally efficient three-stage estimator of thresholds and covariance structure parameters is prepared for analysis of structural equation models with polytomous variables. The method is based on partition maximum likelihood and generalized least squares estimation. An analysis of questionnaire responses of 739 young adults illustrates…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Least Squares Statistics, Mathematical Models
Peer reviewedDuncan, Susan C.; Duncan, Terry E. – Multivariate Behavioral Research, 1994
Using an approach to the analysis of missing data, this study investigated developmental trends in alcohol, marijuana, and cigarette use among 750 adolescents across 5 years using multiple-group latent growth modeling. Latent variable structural equation modeling and missing data approaches to studying developmental change are explored. (SLD)
Descriptors: Adolescents, Change, Child Development, Drinking
Peer reviewedLee, Sik-Yum; And Others – Psychometrika, 1992
A two-stage approach based on the rationale of maximum likelihood and generalized least-squares methods is developed to analyze the general structural equation model for continuous and polytomous variables. Some illustrative examples and a small simulation study (50 replications) are reported. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Least Squares Statistics, Mathematical Models
Peer reviewedBagozzi, Richard P.; Warshaw, Paul R. – Multivariate Behavioral Research, 1992
The nature of the attitude-behavior relation was investigated through the use of structural equation models in a cross-lagged panel design involving 254 undergraduates reacting to 2 kinds of goal-directed behaviors. Results suggest that intentions, and to a lesser extent attitudes, are dependent on behavior and not the reverse. (SLD)
Descriptors: Behavior Patterns, Etiology, Higher Education, Intention

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