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Ismail Cuhadar; Ömür Kaya Kalkan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…
Descriptors: Predictor Variables, Structural Equation Models, Sample Size, Evaluation Methods
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Zorza, Juan P.; Marino, Julián; Acosta Mesas, Alberto – Journal of Early Adolescence, 2019
In this study, we explored the predictive role of behavioral measures of Executive Functions (EFs) and a self-report measure of Effortful Control (EC) on the academic performance of early adolescents. We also analyzed the mediating role of self-reported empathy and social behavior rated by peers (i.e., prosocial behavior and social preference) and…
Descriptors: Predictor Variables, Executive Function, Measurement Techniques, Social Behavior
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Waaland, Torbjørn – Cogent Education, 2017
The main purpose of this article is to study the influence of social support on mentoring provided and the moderating influence of having a higher education. This cross-sectional survey was based on a questionnaire that was sent to 435 employees from 29 preschools in Norway. A total of 284 responses were returned, a response rate of 65.3%. Three…
Descriptors: Mentors, Beginning Teacher Induction, Social Support Groups, Teacher Qualifications
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Liu, Ru-De; Zhen, Rui; Ding, Yi; Liu, Ying; Wang, Jia; Jiang, Ronghuan; Xu, Le – Educational Psychology, 2018
The current study assessed 869 elementary school students in China using self-report questionnaires, to examine the multiple mediating effects of academic self-efficacy and positive academic emotions (enjoyment and relief) in the relations between teacher support and academic engagement (cognitive, behavioural and emotional aspects) within a math…
Descriptors: Foreign Countries, Self Efficacy, Elementary School Students, Questionnaires
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Liu, Xinmiao – Journal of Education and Practice, 2016
The relationship between motivation and EFL proficiency is an issue of great concern in previous research on foreign language learning. However, work in this area offers inconclusive evidence with regard to the directionality of their relations. Using cross-lagged structural equation modeling, this study investigated the directionality of the…
Descriptors: English (Second Language), Predictor Variables, Measurement Techniques, Reliability
Kern, Justin L.; McBride, Brent A.; Laxman, Daniel J.; Dyer, W. Justin; Santos, Rosa M.; Jeans, Laurie M. – Grantee Submission, 2016
Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…
Descriptors: Psychology, Measurement, Error of Measurement, Measurement Objectives
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Mega, Carolina; Ronconi, Lucia; De Beni, Rossana – Journal of Educational Psychology, 2014
The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…
Descriptors: Academic Achievement, Motivation, Active Learning, Emotional Response
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Choi, Namok; Chang, Mido; Kim, Sunha; Reio, Thomas G., Jr. – Psychology in the Schools, 2015
Parental involvement is well documented as a significant contributor to the self-efficacy and academic achievement of students. A structural equation model of parent involvement with family socioeconomic status, student gender, parents' aspirations for their children, mathematics efficacy, and mathematics achievement was tested to examine…
Descriptors: Demography, Predictor Variables, Parent Participation, Self Efficacy
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Mac Callum, Kathryn; Jeffrey, Lynn; Kinshuk – Journal of Information Technology Education: Research, 2014
As mobile technology has advanced, awareness is growing that these technologies may benefit teaching and learning. However, despite this interest, the factors that will determine the acceptance of mobile technology by lecturers have been limited. This study proposed and tested a new model that extends the technology acceptance model (TAM) with…
Descriptors: Adoption (Ideas), Electronic Learning, Performance Factors, Technological Literacy
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Alcaraz, Saul; Torregrosa, Miquel; Viladrich, Carme – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of the present research was to test how behavioral regulations are mediated between basic psychological needs and psychological well-being and ill-being in a sample of team-sport coaches. Based on self-determination theory, we hypothesized a model where satisfaction and thwarting of the basic psychological needs predicted…
Descriptors: Well Being, Psychological Needs, Athletic Coaches, Motivation
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Taylor-Ritzler, Tina; Suarez-Balcazar, Yolanda; Garcia-Iriarte, Edurne; Henry, David B.; Balcazar, Fabricio E. – American Journal of Evaluation, 2013
This study describes the development and validation of the Evaluation Capacity Assessment Instrument (ECAI), a measure designed to assess evaluation capacity among staff of nonprofit organizations that is based on a synthesis model of evaluation capacity. One hundred and sixty-nine staff of nonprofit organizations completed the ECAI. The 68-item…
Descriptors: Factor Analysis, Evaluation Methods, Nonprofit Organizations, Capacity Building
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Grimm, Kevin J.; An, Yang; McArdle, John J.; Zonderman, Alan B.; Resnick, Susan M. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Latent difference score models (e.g., McArdle & Hamagami, 2001) are extended to include effects from prior changes to subsequent changes. This extension of latent difference scores allows for testing hypotheses where recent changes, as opposed to recent levels, are a primary predictor of subsequent changes. These models are applied to…
Descriptors: Memory, Older Adults, Brain, Structural Equation Models
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Joo, Young Ju; Joung, Sunyoung; Kim, Eun Kyung – Educational Technology & Society, 2013
This study aimed to investigate the structural relationships among teaching presence, cognitive presence, usage, learning flow, satisfaction, and learning persistence in corporate e-learners. The research participants were 462 e-learners registered for cyber-lectures through an electronics company in South Korea. The extrinsic variables were sense…
Descriptors: Electronic Learning, Foreign Countries, Virtual Classrooms, Predictor Variables
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Shneyderman, Yuliya; Schwartz, Seth J. – Health Education & Behavior, 2013
The present study was designed to test a model of contextual and intrapersonal predictors of adolescent risky sexual behaviors and of sexually transmitted infection diagnoses. Using Waves I and II from the National Longitudinal Study of Adolescent Health, the authors estimated a structural model in which intrapersonal factors such as adolescents'…
Descriptors: Predictor Variables, Risk, Sexuality, Adolescents
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Kim, Su-Young; Kim, Jee-Seon – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article investigates three types of stage-sequential growth mixture models in the structural equation modeling framework for the analysis of multiple-phase longitudinal data. These models can be important tools for situations in which a single-phase growth mixture model produces distorted results and can allow researchers to better understand…
Descriptors: Structural Equation Models, Data Analysis, Research Methodology, Longitudinal Studies
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