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Kelvin T. Afolabi; Timothy R. Konold – Practical Assessment, Research & Evaluation, 2024
Exploratory structural equation (ESEM) has received increased attention in the methodological literature as a promising tool for evaluating latent variable measurement models. It overcomes many of the limitations attached to exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), while capitalizing on the benefits of each. Given…
Descriptors: Measurement Techniques, Factor Analysis, Structural Equation Models, Comparative Analysis
Jehanzeb Rashid Cheema – Journal of Education in Muslim Societies, 2024
This study explores the relationship between the Spiral Dynamics and the 3H (head, heart, hands) models of human growth and development, using constructs such as empathy, moral reasoning, forgiveness, and community mindedness that have been shown to have implications for education. The specific research question is, "Can a combination of…
Descriptors: Correlation, Factor Analysis, Computer Software, Moral Values
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
Endler Marcel Borges – Journal of Chemical Education, 2023
An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were…
Descriptors: Statistics Education, Programming Languages, Chemistry, Science Instruction
En Xie; Shaw-chiang Wong; Ying Bai – Journal of Autism and Developmental Disorders, 2024
Psychology originally defined parent-child conflict in terms of interpersonal relationships, where parent-child conflict is a process of inconsistent attitudes between parents and children that occurs in a family setting. For this end, we aims to investigate the influence of parental awareness on preschoolers' perception of parent-child conflict…
Descriptors: Computer Software, Computer Simulation, Parent Child Relationship, Cooperation
Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
Counsell, Alyssa; Rovetti, Joseph; Buchanan, Erin – Statistics Education Research Journal, 2022
The current study sought to evaluate the SASTSc in two samples of students taking a statistics course that incorporates statistical software. The SASTSc was given at two time points, once at the beginning of the semester and then again at the end of the semester. Our evaluation included examining competing factor analytic models, examining…
Descriptors: Psychometrics, Student Attitudes, Statistics Education, Educational Technology
Alberto Grájeda; Pamela Córdova; Juan Pablo Córdova; Andrés Laguna-Tapia; Johnny Burgos; Luis Rodríguez; Martín Arandia; Alberto Sanjinés – Cogent Education, 2024
This study investigates the integration of Artificial Intelligence (AI) tools within the School of Arts at a private university in Latin America, focusing on student perceptions and emotional reactions. The research addresses two primary questions: how students perceive the integration of AI tools in their educational experience, and how…
Descriptors: Art Education, Artificial Intelligence, Computer Software, Technology Uses in Education
Mustafa Taktak; Görsev Bafrali – International Journal of Technology in Education, 2025
This study aimed to develop a valid and reliable scale to measure individuals' and organizations' attitudes toward the use of ChatGPT, emphasizing the necessity for organizations to adapt to rapidly evolving information and technology environments. The methodology consisted of three stages. In the first stage, a 13-item draft scale was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Factor Analysis, Validity
Guler, Gul; Cikrikci, Rahime Nukhet – International Journal of Assessment Tools in Education, 2022
The purpose of this study was to investigate the Type I Error findings and power rates of the methods used to determine dimensionality in unidimensional and bidimensional psychological constructs for various conditions (characteristic of the distribution, sample size, length of the test, and interdimensional correlation) and to examine the joint…
Descriptors: Comparative Analysis, Error of Measurement, Decision Making, Factor Analysis
D'Urso, E. Damiano; Tijmstra, Jesper; Vermunt, Jeroen K.; De Roover, Kim – Educational and Psychological Measurement, 2023
Assessing the measurement model (MM) of self-report scales is crucial to obtain valid measurements of individuals' latent psychological constructs. This entails evaluating the number of measured constructs and determining which construct is measured by which item. Exploratory factor analysis (EFA) is the most-used method to evaluate these…
Descriptors: Factor Analysis, Measurement Techniques, Self Evaluation (Individuals), Psychological Patterns
Sayim Aktay; Seckin Gok; Aytug Yildirim – International Technology and Education Journal, 2024
The aim of this study is to develop a reliable and valid scale to determine individuals' attitudes toward artificial intelligence. The study was conducted during the spring semester of 2024 with the participation of pre-service teachers studying at the Faculty of Education at Mugla Sitki Koçman University in Turkey. A total of 410 pre-service…
Descriptors: Artificial Intelligence, Attitude Measures, Educational Benefits, Goodness of Fit
Hanwei Wu; Ziwen Pan – European Journal of Education, 2025
Recently, there has been a significant increase in research on Generative Artificial Intelligence (GenAI) in the domain of second language (L2) education. Given the limited resources, it is essential for GenAI research to focus on key areas. However, there is still uncertainty about which topics should be prioritised. Research priorities are often…
Descriptors: Q Methodology, Stakeholders, Artificial Intelligence, Technology Uses in Education