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Walter P. Vispoel; Hyeri Hong; Hyeryung Lee; Terrence D. Jorgensen – Applied Measurement in Education, 2023
We illustrate how to analyze complete generalizability theory (GT) designs using structural equation modeling software ("lavaan" in R), compare results to those obtained from numerous ANOVA-based packages, and apply those results in practical ways using data obtained from a large sample of respondents, who completed the Self-Perception…
Descriptors: Generalizability Theory, Design, Structural Equation Models, Error of Measurement
Rihab Wit Daryono; Nur Hidayat; Muhammad Nurtanto; Athok Fu'Adi – Journal of Technology and Science Education, 2024
The discrepancy between competence and real work in engineering graduates can be resolved with cooperation by the construction industry. Therefore, it is necessary to determine the appropriate and required architectural engineering competencies with the current demands and conditions of the construction industry. So, this study aims to analyze the…
Descriptors: Foreign Countries, Construction Industry, Building Trades, Engineering Education
Mohammad Awad Al-Dawoody Abdulaal; Iman El-Nabawi Abdel Wahed Shaalan; Maryumah Heji Alenazi; Naglaa Fathy Mohammad Atia Abuslema – SAGE Open, 2024
The main goals of a successful education should consider students' mental health and academic achievement. To overcome obstacles and setbacks in the classroom, the learners must be equipped with self-aid strategies. Despite the associations between affection control, the foundation of self-evaluation, and theoretical floatability, no research in…
Descriptors: Foreign Countries, College Students, English (Second Language), Psycholinguistics
Ram B. Basnet; David J. Lemay; Paul Bazelais – Knowledge Management & E-Learning, 2024
Academic and practitioner interest in data science has increased considerably. Yet scholarly understanding of what motivates students to learn data science is still limited. Drawing on the theory of planned behavior, we propose a research model to examine the determinants of behavioral intentions to learn data science. In the proposed research…
Descriptors: Student Attitudes, Intention, Data Science, Statistics Education
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Educational and Psychological Measurement, 2022
Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article…
Descriptors: Structural Equation Models, Factor Structure, Statistical Bias, Error of Measurement
Sideridis, Georgios D.; Jaffari, Fathima – Measurement and Evaluation in Counseling and Development, 2022
The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Descriptors: Statistical Analysis, Goodness of Fit, Factor Analysis, Structural Equation Models
Lirios, Cruz García – Journal of Interdisciplinary Studies in Education, 2022
The objective of this work was to confirm the factorial structure of collaborative networks in a university in central Mexico during the pandemic. A cross-sectional, psychometric, and confirmatory study was carried out with a sample of 300 administrators, teachers, and students from a public university in central Mexico. From a structural model,…
Descriptors: COVID-19, Pandemics, Public Colleges, Educational Cooperation
Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2022
Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…
Descriptors: Psychometrics, Structural Equation Models, Scores, Least Squares Statistics
Chunhua Cao; Xinya Liang – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Exploratory structural equation modeling (ESEM) allows for the estimation of all cross-loadings, which leads to the number of parameters estimated substantially greater than that in conventional SEM. This study examined the sensitivity of fit measures (CFI, RMSEA, AIC, BIC, SaBIC, LRT) to measurement noninvariance in ESEM. Results suggested that…
Descriptors: Structural Equation Models, Error of Measurement, Computation, Goodness of Fit
Min Feng; Kai Zhou – Psychology in the Schools, 2025
Collaborative problem-solving (CPS) has been one of the essential core skills for future students. However, we found that there are many studies on the evaluation of collaborative problem-solving skills, but there is little studies on the subject areas based on which collaborative problem-solving skills have been evaluated. The three-dimensional…
Descriptors: Mathematics Skills, Cooperative Learning, Problem Solving, Cognitive Ability
Baki, Yasemin – Eurasian Journal of Educational Research, 2020
Purpose: To raise authentically creative individuals, it is compulsory to employ contemporary reading methods. Although critical reading, which is the main medium for accessing the right knowledge, is defined as a sub-category for creative reading in which high cognitive processes are involved, the connection between these has not been clearly put…
Descriptors: Critical Reading, Reading Processes, Grade 5, Elementary School Students
Rashidi, Ahmad Amanzadeh; Azma, Fareydoon; Samiee, Roohallah; Sobhani, Abdolreza – Educational Research and Reviews, 2020
Today, most high education experts consider value creation (a term different from entrepreneurship or entrepreneur) as a condition necessary for the survival and development of universities and higher education systems. In this era of advanced technologies and knowledge-based industries in global, regional, national and even local economies,…
Descriptors: Universities, Higher Education, School Business Relationship, Foreign Countries
van Laar, Saskia; Braeken, Johan – Practical Assessment, Research & Evaluation, 2021
Despite the sensitivity of fit indices to various model and data characteristics in structural equation modeling, these fit indices are used in a rigid binary fashion as a mere rule of thumb threshold value in a search for model adequacy. Here, we address the behavior and interpretation of the popular Comparative Fit Index (CFI) by stressing that…
Descriptors: Goodness of Fit, Structural Equation Models, Sampling, Sample Size
Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2021
Network meta-analysis (NMA) compares the efficacy and harm between several treatments by combining direct and indirect evidence. The validity of NMA requires that all available evidence form a coherent network. Failure to meet such requirement is known as inconsistency. The most popular approach to inconsistency detection is to compare the direct…
Descriptors: Networks, Meta Analysis, Evidence, Evaluation Methods
Forthmann, Boris; Szardenings, Carsten; Dumas, Denis – Journal of Creative Behavior, 2021
The equal odds baseline is a parsimonious model that describes the relationship between quantity and quality of output in scientific creativity. Specifically, it is posited that quality is a linear function of quantity, and therefore, strong positive correlations between these two variables are expected. Strong positive correlations also play a…
Descriptors: Creative Thinking, Structural Equation Models, Scientific Research, Correlation

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