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Raykov, Tenko; Doebler, Philipp; Marcoulides, George A. – Measurement: Interdisciplinary Research and Perspectives, 2022
This article is concerned with the large-sample parameter estimator behavior in applications of Bayesian confirmatory factor analysis in behavioral measurement. The property of strong convergence of the popular Bayesian posterior median estimator is discussed, which states numerical convergence with probability 1 of the resulting estimates to the…
Descriptors: Bayesian Statistics, Measurement Techniques, Correlation, Factor Analysis
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Pacewicz, Christine E.; Hill, Christopher R.; Lee, Seungmin; Myers, Nicholas D.; Prilleltensky, Isaac; McMahon, Adam; Pfeiffer, Karin A.; Brincks, Ahnalee M. – Measurement in Physical Education and Exercise Science, 2022
In physical education and exercise science, it is common to examine mean differences between groups or to assess change across time. However, before group differences or change can be confidently examined, measurement invariance can be tested. Measurement invariance tests the equivalence of a construct across groups or across time. If measurement…
Descriptors: Physical Education, Exercise, Well Being, Self Efficacy
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Baydas Onlu, Ozlem; Abdusselam, Mustafa Serkan; Yilmaz, Rabia Meryem – Contemporary Educational Technology, 2022
This study aimed to develop the "Students' Perception of Instructional Feedback Scale" (SPIFS) determining a framework related to the perception of instructional feedback by students. The sequential exploratory mixed method was used in the study. The study was conducted during the instructional design course offered to sophomores in the…
Descriptors: Student Attitudes, Feedback (Response), Test Validity, Test Reliability
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Botes, Elouise; van der Westhuizen, Lindie; Dewaele, Jean-Marc; MacIntyre, Peter; Greiff, Samuel – Applied Linguistics, 2022
Foreign language classroom anxiety (FLCA) is a popular construct in applied linguistics research, traditionally measured with the 33-item Foreign Language Classroom Anxiety Scale (FLCAS). However, recent studies have started utilizing the eight-item Short-Form FLCAS (S-FLCAS). There is therefore a need, which this study addressed in five…
Descriptors: Test Validity, Second Language Learning, Anxiety, Measures (Individuals)
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Baysal, Emine Akkas; Ocak, Gürbüz – International Journal of Progressive Education, 2022
This study aimed to develop a reliable and valid scale to reveal the cognitive biases of university students in context of analytical thinking skills. During scale development process, firstly, a 5-point Likert type scale pre-trial form consisting of 60 items was created. The pre-trial form was applied to 450 students in Afyon Kocatepe University.…
Descriptors: College Students, Thinking Skills, Test Reliability, Test Validity
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Feng, Luxi; Hancock, Roeland; Watson, Christa; Bogley, Rian; Miller, Zachary A.; Gorno-Tempini, Maria Luisa; Briggs-Gowan, Margaret J.; Hoeft, Fumiko – Journal of Learning Disabilities, 2022
Several crucial reasons exist to determine whether an adult has had a reading disorder (RD) and to predict a child's likelihood of developing RD. The Adult Reading History Questionnaire (ARHQ) is among the most commonly used self-reported questionnaires. High ARHQ scores indicate an increased likelihood that an adult had RD as a child and that…
Descriptors: Test Construction, Questionnaires, Artificial Intelligence, Adults
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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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Cassandra Barber; Cees van der Vleuten; Saad Chahine – Advances in Health Sciences Education, 2024
There is an expectation that health professions schools respond to priority societal health needs. This expectation is largely based on the underlying assumption that schools are aware of the priority needs in their communities. This paper demonstrates how open-access, pan-national health data can be used to create a reliable health index to…
Descriptors: Medical Education, Allied Health Occupations Education, Accountability, Public Health
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Taha O. Alkursheh – Journal of Pedagogical Research, 2024
The importance of understanding student attitudes has become paramount in the successful deployment of blended learning. This study aimed to examine the factorial structure of a scale designed to assess university students' attitudes towards blended learning. Using a descriptive quantitative research approach, the study included a sample of 889…
Descriptors: Foreign Countries, Test Validity, Attitude Measures, Student Attitudes
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Khalid ALMamari – International Journal of Testing, 2024
The Multidimensional Personality Questionnaire (MPQ) measures a wide range of personality traits associated with affect and temperament. However, the lengthy administration time may have hindered its widespread use in personality research. The National Survey of Midlife Development in the United States (MIDUS) has adapted a short version of the…
Descriptors: Personality Measures, Questionnaires, Construct Validity, Test Reliability
Kelly Francis – ProQuest LLC, 2024
The current study involved the development, scaling, and validation of a new, brief, strength-based measure of children's ecological support, as rated by their parents. The scaling and validation of the Child and Youth Ecological Assets Scale--Parent Form (C-YEAS-P) took place through two studies. The first study involved 500 parents who were…
Descriptors: Measures (Individuals), Test Construction, Ability, Children
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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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Elif Çimsir; Meral Çapar; Ruxandra Folostina; Claudia Iuliana Iacob; Wioletta Tuszynska-Bogucka; Lidia Mirowska; Aras Bozkurt – Discover Education, 2024
This study examined the factorial composition and cultural invariance of the online learning readiness self-check (OLRSC) survey across Turkish (N = 212), Romanian (N = 207), and Polish (N = 235) college students. The results of confirmatory factor analyses (CFA) in individual samples supported the six-dimensional structure of online learning…
Descriptors: Factor Analysis, Electronic Learning, Learning Readiness, Self Evaluation (Individuals)
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Meike Akveld; George Kinnear – International Journal of Mathematical Education in Science and Technology, 2024
Many universities use diagnostic tests to assess incoming students' preparedness for mathematics courses. Diagnostic test results can help students to identify topics where they need more practice and give lecturers a summary of strengths and weaknesses in their class. We demonstrate a process that can be used to make improvements to a mathematics…
Descriptors: Mathematics Tests, Diagnostic Tests, Test Items, Item Analysis
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Barry Bai; Jing Li – European Journal of Education, 2024
The present study developed and validated a self-regulated learning (SRL) teaching scale with a total sample of 966 preschool teachers. A pool of items was generated from literature reviews, teacher interviews, and expert reviews using Zimmerman's cyclical model of SRL. An exploratory factor analysis (N = 333) in study 1, and a confirmatory factor…
Descriptors: Preschool Teachers, Test Construction, Measures (Individuals), Construct Validity
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