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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
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
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
Daniel McNeish – Grantee Submission, 2023
Scale validation is vital to psychological research because it ensures that scores from measurement scales represent the intended construct. Factor analysis fit indices are commonly used to provide quantitative evidence that a proposed factor structure is plausible. However, there is mismatch between guidelines for evaluating fit of factor models…
Descriptors: Factor Analysis, Goodness of Fit, Validity, Likert Scales
Manuel T. Rein; Jeroen K. Vermunt; Kim De Roover; Leonie V. D. E. Vogelsmeier – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…
Descriptors: Measurement Techniques, Factor Analysis, Scores, Validity
Igor Esnaola; Albert Sesé; Lorea Azpiazu; Yina Wang – British Journal of Educational Psychology, 2024
Background: Modelling academic self-concept through second-order factors or bifactor structures is an important issue with substantive and practical implications; besides, the bifactor model has not been analysed with a Chinese sample and cross-cultural studies in the academic self-concept are scarce. Likewise, latent structure validity evidence…
Descriptors: Academic Achievement, Self Concept, Psychometrics, Validity
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
Bailey, Janelle M.; Jamani, Sonia; Klavon, Timothy G.; Jaffe, Joshua; Mohan, Svetha – Educational and Developmental Psychologist, 2022
Objective: Socially-relevant and controversial topics, such as the climate crisis, are subject to differences in the explanations that scientists and the public find plausible. Scaffolds can help students be evaluative of the validity of explanations based on evidence when addressing such topics and support knowledge gains. Method: This study…
Descriptors: Climate, Teaching Methods, Environmental Education, Weather
Farida, Mamik Nur; Soesatyo, Yoyok; Aji, Tony Seno – International Journal of Education and Literacy Studies, 2021
Financial behavior is a means by which a person treats, manages, and uses available financial resources. This research aims to determine the effect of financial literacy and the use of financial technology on financial satisfaction through financial behavior as an intervening factor. Data were collected from 112 economics teachers using purposive…
Descriptors: Money Management, Economics Education, Teacher Attitudes, Structural Equation Models
Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2016
In this article, the authors extend the results of Aguirre-Urreta, Rönkkö, and Marakas (2016) concerning the omission of a relevant causal indicator by testing the validity of the assumption that causal indicators are entirely superfluous to the measurement model and discuss the implications for measurement theory. Contrary to common wisdom…
Descriptors: Causal Models, Structural Equation Models, Formative Evaluation, Measurement
Hildesheim, Christine; Sonntag, Karlheinz – Studies in Higher Education, 2020
Quality assurance and quality development represent central challenges of higher education institutions (HEIs). In this context, the term quality culture has gained increasing attention. Quality culture refers to an organizational culture, which emphasizes the importance of continuous quality improvement, shared attitudes, and commitment towards…
Descriptors: Educational Quality, Higher Education, Quality Assurance, Organizational Culture
Alsina, Angel; Maurandi, Antonio; Ferre, Elvira; Coronata, Claudia – International Journal of Science and Mathematics Education, 2021
The aim of this study is to validate an instrument to evaluate the teaching of mathematics through mathematical processes using a structural equation model. To that end, we have administered the instrument to 95 in-service Spanish teachers and we have also analysed the presence of mathematical processes (problem solving, reasoning and proof,…
Descriptors: Teaching Methods, Mathematics Instruction, Structural Equation Models, Validity
Yusop, Farrah Dina; Habibi, Akhmad; Razak, Rafiza Abdul – SAGE Open, 2021
The goals of the research were to inform whether the theory of planned behavior (TPB) is a valid model to explain Indonesian preservice teachers' (PSTs) use of information and communication technology (UICT) during teaching practices, to report best factor affecting PSTs' UICT during teaching practices, and to elaborate differences regarding UICT…
Descriptors: Preservice Teachers, Teaching Methods, Information Technology, Technology Integration
Pribeanu, Costin; Balog, Alexandru; Iordache, Dragos Daniel – Interactive Learning Environments, 2017
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by…
Descriptors: Computer Simulation, Educational Technology, Measurement, Educational Quality
Bayero, Saifullahi Adam – Online Submission, 2020
This study assessed the influence of entrepreneurial education (EE) and entrepreneurial attitude (EA) on the entrepreneurial intention (EI) of graduating students in a Nigerian university. Through a descriptive quantitative methods, questionnaires were distributed and retrieved from a total of 157 non-probabilistic convenience samples from the…
Descriptors: Entrepreneurship, Intention, Student Attitudes, Foreign Countries