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Hyunjung Lee; Heining Cham – Educational and Psychological Measurement, 2024
Determining the number of factors in exploratory factor analysis (EFA) is crucial because it affects the rest of the analysis and the conclusions of the study. Researchers have developed various methods for deciding the number of factors to retain in EFA, but this remains one of the most difficult decisions in the EFA. The purpose of this study is…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Goodness of Fit
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Chidubem Deborah Adamu – Research in Social Sciences and Technology, 2024
The Fourth Industrial Revolution Chemistry Teachers Effectiveness Scale (4IRCTES) was evaluated in secondary schools in Southwest Nigeria to determine its item discrimination, item parameters, and model-data fit. This study utilised a descriptive survey research design and included 4,986 Chemistry teachers in the southwestern region of Nigeria,…
Descriptors: Secondary School Teachers, Science Teachers, Chemistry, Foreign Countries
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Ane Wibe Saether; Silje Sommer Hukkelberg; Ane Naerde – Scandinavian Journal of Educational Research, 2025
The Social Skills Improvement System-Rating Scales (SSIS-RS) and the Social Skills Improvement System Social and Emotional Learning Edition (SSIS SEL) are rating scales used to assess social behavior in children and adolescents. While the SSIS-RS is well-regarded and used worldwide, the SSIS SEL is establishing foothold. In the current study, we…
Descriptors: Rating Scales, Social Behavior, Interpersonal Competence, Test Validity
Emily A. Brown – ProQuest LLC, 2024
Previous research has been limited regarding the measurement of computational thinking, particularly as a learning progression in K-12. This study proposes to apply a multidimensional item response theory (IRT) model to a newly developed measure of computational thinking utilizing both selected response and open-ended polytomous items to establish…
Descriptors: Models, Computation, Thinking Skills, Item Response Theory
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Daniel A. DeCino; Steven R. Chesnut; Phillip L. Waalkes; Reed N. Keen – Measurement and Evaluation in Counseling and Development, 2025
Objective: The purpose of this study was to develop and validate the Counselor Self-Reflection Inventory (CSRI) from a Transformative Learning Theory framework for counselors, and counselors-in-training to use in clinical and training settings. Method: A sample of 351, mostly female (86.89%), white (85.19%), counselors with MS or MA (88.08%)…
Descriptors: Test Construction, Test Validity, Test Reliability, Attitude Measures
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Beth Doll; Farya Haider; Jay Jeffries – Journal of Psychoeducational Assessment, 2025
More than a decade after two comprehensive examinations of the technical properties of the ClassMaps Survey (CMS), this study reexamined the structure and internal consistency of the scale and, for the first time, examined its measurement invariance across gender and school levels. Participants were 1,083 elementary and middle level students from…
Descriptors: Student Surveys, Attitude Measures, Student Attitudes, Elementary School Students
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Ali Alqarni – Journal of Computer Assisted Learning, 2025
Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
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Raborn, Anthony W.; Leite, Walter L.; Marcoulides, Katerina M. – Educational and Psychological Measurement, 2020
This study compares automated methods to develop short forms of psychometric scales. Obtaining a short form that has both adequate internal structure and strong validity with respect to relationships with other variables is difficult with traditional methods of short-form development. Metaheuristic algorithms can select items for short forms while…
Descriptors: Test Construction, Automation, Heuristics, Mathematics
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Bal, Ayten Pinar; Yilmaz, Rumeysa; Atas, Vildan – Journal of Research and Advances in Mathematics Education, 2022
The purpose of this research is to develop a scale to determine teachers' self-efficacy levels regarding differentiated instruction. To create the item pool, the first 61 item draft form was prepared. This draft form was submitted to the opinion of experts from different fields and necessary corrections were made. Before starting the analysis…
Descriptors: Test Construction, Measures (Individuals), Self Efficacy, Individualized Instruction
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Denovan, Andrew; Dagnall, Neil; Drinkwater, Ken – Journal of Psychoeducational Assessment, 2022
This study examined the psychometric properties of the Ego Resiliency Scale-Revised (ER89-R). Though support exists for a multidimensional conceptualisation using classical test theory approaches (i.e., a higher-order model comprising Openness to Life Experiences and Optimal Regulation factors), this measure has not been subjected to Rasch…
Descriptors: Likert Scales, Self Concept, Resilience (Psychology), Factor Analysis
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Salami, Sedigheh; Bandeira, Paulo Felipe Ribeiro; Gomes, Cristiano Mauro Assis; Dehkordi, Parvaneh Shamsipour – Journal of Motor Learning and Development, 2022
Aim: To examine the latent structure of the "Test of Gross Motor Development--Third Edition" (TGMD-3) with a bifactor modeling approach. In addition, the study examines the dimensionality and model-based reliability of general and specific contributions of the test's subscales and measurement invariance of the TGMD-3. Methods: A…
Descriptors: Children, Norm Referenced Tests, Motor Development, Psychomotor Skills
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McClain, Maryellen Brunson; Harris, Bryn; Schwartz, Sarah E.; Golson, Megan E. – Journal of Psychoeducational Assessment, 2020
Despite the changing racial/ethnic demographics in the United States, few studies exist that evaluate autism spectrum disorder (ASD) screening and diagnostic assessment measures for their cultural and linguistic responsiveness. The purpose of this study was to evaluate the structure of the Autism Spectrum Rating Scales (ASRS) in a diverse sample…
Descriptors: Autism, Pervasive Developmental Disorders, Rating Scales, Parents
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Geramipour, Masoud – Language Testing in Asia, 2021
Rasch testlet and bifactor models are two measurement models that could deal with local item dependency (LID) in assessing the dimensionality of reading comprehension testlets. This study aimed to apply the measurement models to real item response data of the Iranian EFL reading comprehension tests and compare the validity of the bifactor models…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Reading Tests
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DiStefano, Christine; Barth, Steven G.; Greer, Fred – Journal of Psychoeducational Assessment, 2019
This study investigated the effect of item position on descriptive statistics, psychometric information, and factor structure of the Pediatric Symptoms Checklist 17-item social-emotional screening instrument (PSC-17). The goal was to determine whether item position, either grouped by factor or mixed across constructs, produced similar results.…
Descriptors: Check Lists, Test Items, Factor Structure, Screening Tests
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Komperda, Regis; Hosbein, Kathryn N.; Barbera, Jack – Chemistry Education Research and Practice, 2018
Increased understanding of the importance of the affective domain in chemistry education research has led to the development and adaptation of instruments to measure chemistry-specific affective traits, including motivation. Many of these instruments are adapted from other fields by using the word "chemistry" in place of other…
Descriptors: Chemistry, Affective Measures, Student Motivation, Majors (Students)
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