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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
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Kogar, Hakan – International Journal of Assessment Tools in Education, 2022
The purpose of this study is to identify which scale short-form development method produces better findings in different factor structures. A simulation study was designed based on this purpose. Three different factor structures and three simulation conditions were selected. As the findings of this simulation study, the model-data fit and…
Descriptors: Test Construction, Measures (Individuals), Factor Structure, Test Reliability
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Riana Nurhayati; Suranto Aw; Siti Irene Astuti Dwiningrum; Mami Hajaroh; Herwin Herwin – International Journal of Educational Methodology, 2024
Evaluation of child-friendly school (CFS) policies is essential to determine the achievements of school efforts in reducing violence cases. This research aims to proving the reliability and validity of CFS policy evaluation instruments in elementary schools with different locations. This investigation uses the Context Input Process Product (CIPP)…
Descriptors: Validity, Reliability, School Policy, Program Evaluation
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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
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Marilena Z. Leana-Tascilar – Cogent Education, 2024
This study aimed to develop a comprehensive tool to assess underachievement in gifted students, incorporating input from parents, teachers, and students themselves. A total of 285 participants, including 95 gifted students, their parents, and teachers, were involved in the study. The results have revealed a four-factor structure for the Gifted…
Descriptors: Psychometrics, Academic Achievement, Underachievement, Academically Gifted
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Bhagat, Kaushal Kumar; Cheng, Chia-Hui; Koneru, Indira; Fook, Fong Soon; Chang, Chun-Yen – Interactive Learning Environments, 2023
The aim of this study was to develop a scale to measure students' blended learning course experience. A total of 792 undergraduate students from Malaysia participated in this study. Exploratory factor analysis (EFA) was employed to evaluate the factor structure of the scale. As a result of EFA, three factors with 19 items that explained 68.06% of…
Descriptors: Blended Learning, Evaluation Methods, Course Evaluation, Student Attitudes
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Thomas, Gregory P.; Chantharanuwong, Warawan – International Journal of Educational Methodology, 2022
The purpose of this study was to establish the factor structure and dimensionality of the Metacognitive Orientation Learning Environment Scale -- Science (MOLES-S) in the Thai context. The metacognitive orientation of a science classroom learning environment is defined as the extent to which psychosocial conditions that are known to enhance…
Descriptors: Foreign Countries, Factor Structure, Science Instruction, Teaching Methods
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Montoya, Amanda K.; Edwards, Michael C. – Educational and Psychological Measurement, 2021
Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the…
Descriptors: Goodness of Fit, Factor Analysis, Cutting Scores, Correlation
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Koyuncu, Ilhan; Kilic, Abdullah Faruk – International Journal of Assessment Tools in Education, 2021
In exploratory factor analysis, although the researchers decide which items belong to which factors by considering statistical results, the decisions taken sometimes can be subjective in case of having items with similar factor loadings and complex factor structures. The aim of this study was to examine the validity of classifying items into…
Descriptors: Classification, Graphs, Factor Analysis, Decision Making
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Akaeze, Hope O.; Wu, Jamie Heng-Chieh; Lawrence, Frank R.; Weber, Everett P. – Journal of Psychoeducational Assessment, 2023
This paper reports an investigation into the psychometric properties of the COR-Advantage1.5 (COR-Adv1.5) assessment tool, a criterion-referenced observation-based instrument designed to assess the developmental abilities of children from birth through kindergarten. Using data from 8534 children participating in a state-funded preschool program…
Descriptors: Criterion Referenced Tests, Evaluation Methods, Measures (Individuals), Measurement Techniques
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Borup, Jered; Shin, Joan Kang; Powell, Marvin; Evmenova, Anya S.; Kim, Woomee – International Review of Research in Open and Distributed Learning, 2022
Globally, online course enrollments have grown, and English is often used as a lingua franca for instruction. The Community of Inquiry (CoI) framework can inform the creation of more supportive, interaction-rich online learning environments. However, the framework and its accompanying validated instrument were created in North America, limiting…
Descriptors: Communities of Practice, Inquiry, MOOCs, Language Teachers
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Wafubwa, Ruth Nanjekho; Csíkos, Csaba – African Journal of Research in Mathematics, Science and Technology Education, 2021
This study focused on the assessment of the structural validity of the 28 item adapted Teacher Assessment for Learning Questionnaire (TAFL-Q) in the Kenyan context. The sample consisted of 180 mathematics teachers drawn from 50 secondary schools. Confirmatory factor analysis was used to confirm the hypothesised two-factor model of the original…
Descriptors: Validity, Questionnaires, Mathematics Teachers, Mathematics Instruction
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Yang, Yanyun; Xia, Yan – Educational and Psychological Measurement, 2019
When item scores are ordered categorical, categorical omega can be computed based on the parameter estimates from a factor analysis model using frequentist estimators such as diagonally weighted least squares. When the sample size is relatively small and thresholds are different across items, using diagonally weighted least squares can yield a…
Descriptors: Scores, Sample Size, Bayesian Statistics, Item Analysis
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Ronen Kasperski; Merav E. Hemi – Assessment in Education: Principles, Policy & Practice, 2024
Educators' Social-Emotional Learning (SEL) is crucial for fostering positive, supportive, and effective learning environments. This study seeks to improve SEL assessment among educators by addressing limitations of the previous EduSEL questionnaire. Study 1 established convergent validity by comparing EduSEL with a validated SEL questionnaire.…
Descriptors: Social Emotional Learning, Factor Structure, Factor Analysis, Teacher Attitudes
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Zhuang, Tengteng; Cheung, Alan C. K.; Lau, Wilfred W. F.; Tang, Yipeng – Frontiers of Education in China, 2019
This study reports the development and validation of an instrument, "Undergraduate STEM Educational Process Questionnaire" (USEPQ) to assess the learning experiences of STEM (science, technology, engineering and mathematics)-major undergraduates from the perspective of a conceptualized comprehensive STEM educational process framework…
Descriptors: Undergraduate Students, STEM Education, Learning Processes, Majors (Students)
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