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Pui Yi Mok; Hsueh-Hua Chuang; Ming-Min Cheng; Thomas J. Smith – Journal of Creative Behavior, 2025
Considering the pivotal role of creativity across various eras and the rapid integration of Artificial Intelligence (AI) in both creative processes and education, this study introduces and provides validity evidence for the AI-assisted Creativity Questionnaire (AICQ). This new 16-item instrument aims to quantify human creative potential in…
Descriptors: Artificial Intelligence, Creativity, Technology Integration, Intelligent Tutoring Systems
Hongwei Yang; Müslim Alanoglu; Songül Karabatak; Jian Su; Kelly Bradley – International Review of Research in Open and Distributed Learning, 2025
This study developed and validated the Turkish version of the Self-Directed Online Learning Scale (SDOLS-T) for assessing students' perceptions of their self-directed learning (SDL) ability in an online environment. Specifically, this study conducted in two stages multiple categorical confirmatory factor analyses factoring in the ordered…
Descriptors: Foreign Countries, Factor Analysis, Translation, Student Attitudes
Fadime Hatice Inci; Ferhat Çelik – Psychology in the Schools, 2025
The aim of this study is to examine the validity, reliability, and responsiveness of the Turkish version of the Adolescent Health Promotion-Short Form (AHP-SF). This cross-sectional study was completed with 1483 students. Confirmatory factor analysis (CFA) supported the construct validity of the scale, demonstrating a good model fit with…
Descriptors: Foreign Countries, Measures (Individuals), Adolescents, Health Promotion
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
Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size
Asiye Ivrendi – International Journal of Assessment Tools in Education, 2025
There has been increased evidence about the importance of supporting children's self-regulation skills in early childhood and the role of teachers in this process. This current research consisted of two studies. Study 1 aimed to develop two scales: one to assess preschool teachers' awareness of children's self-regulation and the other to determine…
Descriptors: Preschool Teachers, Test Construction, Rating Scales, Children
Roxana Quintero-Manes; Camilo Vieira – Journal of Computing in Higher Education, 2025
This study had two objectives: (1) to evaluate the validity of an instrument for measuring differentiated cognitive loads in its Spanish version; and (2) to evaluate the three types of cognitive loads and their relationship with self-efficacy, self-concept, and interest in programming of students in an introductory course. Understanding and…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Self Efficacy
Pereira, Diana; Cadime, Irene; Brown, Gavin; Flores, Maria Assunção – European Journal of Higher Education, 2022
Drawing upon a wider piece of research, this paper focuses on the validation of a 'use of assessment' scale in five Portuguese public universities with 5549 students. The study aims to investigate the psychometric properties of the scale, to describe how students look at assessment uses, to analyse their utility perceptions of assessment, and to…
Descriptors: Undergraduate Students, Student Attitudes, Evaluation Methods, Foreign Countries
Rezai, Afsheen – Language Testing in Asia, 2022
Although fairness in assessment practices has gained noticeable attention over the recent years, there has been a long-lasting study to design and validate a questionnaire to measure it from a psychometric perspective. Thus, this study aims to develop and validate a questionnaire with adequate psychometric properties to measure fairness in…
Descriptors: Justice, Student Evaluation, Test Construction, Test Validity
Mahajan, Renuka; Gupta, Pragya; Misra, Richa – Education & Training, 2022
Purpose: The paper aims at examining the employability skills relevant in the unprecedented times of turbulence in businesses due to COVID-19 in the Indian context. Design/methodology/approach: The study examined the recent skills model through an extensive literature review. Exploratory factor analysis (EFA) is conducted to identify the…
Descriptors: Employment Potential, Job Skills, COVID-19, Pandemics
Abdullah, Melissa Ng Lee Yen; Omar, Ahmad Fairuz; Ping, Teoh Ai; Chun, Tiew Chia – Asian Journal of University Education, 2022
Postgraduate students have to play active roles in self-determined learning, as major agent in their own learning and research activities. There is a lack of validated research instruments to measure self-determined learning among postgraduate students. The Postgraduate Self-Determined Learning Questionnaire (PSLQ) was specifically developed to…
Descriptors: Test Validity, Test Reliability, Self Determination, Learning Strategies
Lee, Jinju; Song, Ji Hoon – European Journal of Training and Development, 2022
Purpose: The purpose of this study is to develop a reliable and valid measurement of employee learning agility for use in human resources development. Design/methodology/approach: This paper analyzed a total of 365 cases collected from Korean organizations. This paper conducted exploratory factor analysis, confirmatory factor analysis and Rasch…
Descriptors: Test Construction, Employees, Cognitive Ability, Learning
Coffelt, Tina; Cosgrove, Samantha; Vance, Bremen – Business and Professional Communication Quarterly, 2022
Understanding the expectations of employers contributes to the relevancy of business and professional communication (BPC) courses. Studies that bridge the gap between course content and workplace expectations support this process. This article presents findings from a scale development procedure to analyze BPC skills using a multimodal…
Descriptors: Communication Skills, Business Administration Education, Test Construction, College Graduates
Lukitasari, Marheny; Murtafiah, Wasilatul; Ramdiah, Siti; Hasan, Rusdi; Sukri, Akhmad – International Journal of Instruction, 2022
This research aims to develop and test the effectiveness of digital literacy instruments on students' learning outcomes. This study is a mixed method that combines survey and pre-experimental research. The survey research was conducted through a quantitative approach using a questionnaire as the research instrument with assessed numerical items.…
Descriptors: Technological Literacy, Test Construction, Measures (Individuals), College Students
Tran, Van Dat – European Journal of Educational Research, 2022
Recently, researchers have paid more attention to the aspects of classroom learning environments because of their effects on students' cognitive and effective outcomes. However, current literature reveals the lack of research that explores the factors of classroom environments in Vietnamese context. The present study, therefore, aims to validate…
Descriptors: Test Validity, Foreign Countries, Psychometrics, Test Construction

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