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Showing 1 to 15 of 68 results Save | Export
Edgar C. Merkle; Oludare Ariyo; Sonja D. Winter; Mauricio Garnier-Villarreal – Grantee Submission, 2023
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…
Descriptors: Models, Bayesian Statistics, Correlation, Evaluation Methods
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Beauducel, André; Hilger, Norbert – Educational and Psychological Measurement, 2022
In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the…
Descriptors: Bayesian Statistics, Factor Analysis, Prediction, Simulation
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Wang, Faming; Jiang, Chunlian; King, Ronnel B.; Leung, Shing On – Psychology in the Schools, 2023
The Motivated Strategies for Learning Questionnaire (MSLQ) is one of the most widely used instruments to measure students' motivation and self-regulated learning. However, the MSLQ was developed and has been predominantly used in the Western context, is a domain-general measure, and is quite lengthy. Hence, adapting the MSLQ to the Chinese…
Descriptors: Learning Strategies, Questionnaires, Metacognition, Cultural Context
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Sirakaya, Mustafa; Alsancak Sirakaya, Didem; Korkmaz, Özgen – Journal of Science Education and Technology, 2020
This study aimed to investigate the relationships among computational thinking (CT) skills, science, technology, engineering and mathematics (STEM) attitude, and thinking styles with the help of structural equation modeling and to determine to what extent the variables of STEM attitude and thinking styles explained CT skills. The study, conducted…
Descriptors: STEM Education, Thinking Skills, Structural Equation Models, Correlation
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Mowahed, Ahmad Khalid; Song, Naiqing; Xinrong, Yang; Changgen, Pei – International Electronic Journal of Mathematics Education, 2020
This study explored the influence of proof understanding strategies and negative self-concept on undergraduate Afghan students' achievement in modern algebra 1. To examine the relationships among proof understanding strategies, negative self-concept and achievement in modern algebra 1, we used structural equation modeling on data collected from…
Descriptors: Validity, Mathematical Logic, Algebra, Mathematics Achievement
Fathalla, Mohammed Mohammed; Ibrahim, Fatima Midhat – International Journal of Psycho-Educational Sciences, 2020
The aim of this study was to assess the reliability and validity of ERQ in a group of Egyptian adolescents. 648 adolescents from middle schools in Nasr city, Egypt were recruited. These adolescents aged 14-15 years old (M=14.4, SD=2.22). Of which,400 were females (61.72%) while 248 were males (38.27%). Exploratory Factor Analysis, with CFA and…
Descriptors: Self Control, Validity, Reliability, Middle School Students
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Saini, Charu; Abraham, Jessy – Journal of Computing in Higher Education, 2019
The proliferation of social media over the past two decades has compelled the educators and researchers to explore the ways and means by which these technologies have affected the education system. One of the main challenges is to assess the perceptions of the various stakeholders involved. The purpose of this study is to build a model that…
Descriptors: Social Media, Teaching Methods, Structural Equation Models, Preservice Teachers
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Kwarikunda, Diana; Schiefele, Ulrich; Ssenyonga, Joseph; Muwonge, Charles Magoba – African Journal of Research in Mathematics, Science and Technology Education, 2020
Motivation and interest affect students' learning especially in Physics, a subject learners perceive as abstract. The present study was guided by three objectives: (a) to adapt and validate the Science Motivation Questionnaire (SMQ-II) for the Ugandan context; (b) to examine whether there are significant differences in motivation for learning…
Descriptors: Correlation, Learning Motivation, Student Interests, Science Education
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Furutani, Kaichiro; Kawamoto, Taishi; Alimardani, Maryam; Nakashima, Ken'ichiro – New Directions for Child and Adolescent Development, 2020
We examined the factorial structure and validity of a Japanese version of the Parental Burnout Assessment, the PBA-J, with 1,500 Japanese parents. The Parental Burnout Assessment measures burnout using four dimensions: exhaustion in one's parental role, contrast in parental self, feelings of being fed up, and emotional distancing. Confirmatory…
Descriptors: Burnout, Factor Analysis, Parent Attitudes, Factor Structure
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Pulido, Juan J.; Sánchez-Oliva, David; Leo, Francisco M.; Sánchez-Cano, Jorge; García-Calvo, Tomás – Measurement in Physical Education and Exercise Science, 2018
Purpose: The objectives were to develop and validate the Coaches' Interpersonal Style Questionnaire. The Coaches' Interpersonal Style Questionnaire analyzes the interpersonal style adopted by coaches when implementing their strategy of supporting or thwarting athletes' basic psychological needs. Method: In Study 1, an exploratory factor analysis…
Descriptors: Questionnaires, Interpersonal Relationship, Validity, Structural Equation Models
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Hsu, Wei-Ting; Pan, Min – Journal of Teaching in Physical Education, 2019
Purpose: To develop a measure of student-perceived teacher relation-inferred self-efficacy (RISE) support in physical education in terms of the Teacher RISE Support Scale, through a series of three studies. Methods: In Studies 1 and 2, interviews, exploratory factor analysis, and confirmatory factor analysis were conducted to develop a…
Descriptors: Physical Education, Self Efficacy, Factor Analysis, Psychometrics
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Mustillo, Sarah; Li, Miao; Ferraro, Kenneth F. – Sociological Methods & Research, 2021
Most studies of the early origins of adult health rely on summing dichotomously measured negative exposures to measure childhood misfortune (CM), neglect, adversity, or trauma. There are several limitations to this approach, including that it assumes each exposure carries the same level of risk for a particular outcome. Further, it often leads…
Descriptors: Structural Equation Models, Child Neglect, Trauma, Disadvantaged
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Lin, Chien-Liang – Journal of Science Education and Technology, 2018
This study sought to develop a self-report instrument to be used in the assessment of the project competences of college students engaged in online project-based learning. Three scales of the KIPSSE instrument developed for this study, namely, the knowledge integration, project skills, and self-efficacy scales, were based on related theories and…
Descriptors: College Students, Online Courses, Student Projects, Active Learning
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Koch, Tobias; Schultze, Martin; Burrus, Jeremy; Roberts, Richard D.; Eid, Michael – Journal of Educational and Behavioral Statistics, 2015
The numerous advantages of structural equation modeling (SEM) for the analysis of multitrait-multimethod (MTMM) data are well known. MTMM-SEMs allow researchers to explicitly model the measurement error, to examine the true convergent and discriminant validity of the given measures, and to relate external variables to the latent trait as well as…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Factor Analysis, Multitrait Multimethod Techniques
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Smith, Leann V.; Cokley, Kevin – Measurement and Evaluation in Counseling and Development, 2016
The authors investigated the psychometric properties of the Social Identities and Attitudes Scale developed by Picho and Brown, which captures an individual's vulnerability to Stereotype Threat effects. Confirmatory factor analyses and group invariance tests conducted on a diverse sample of 516 college students revealed adequate reliability and…
Descriptors: Undergraduate Students, Attitude Measures, Likert Scales, Psychometrics
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