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Bilge Bal-Sezerel; Deniz Arslan; Ugur Sak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the ASIS in 2020, 2021, and 2022. The analyses were conducted using multisample confirmatory factor analyses. Factorial invariance was tested with six…
Descriptors: Intelligence Tests, Grade 1, Factor Structure, Scores
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Liu, Xiaoling; Cao, Pei; Lai, Xinzhen; Wen, Jianbing; Yang, Yanyun – Educational and Psychological Measurement, 2023
Percentage of uncontaminated correlations (PUC), explained common variance (ECV), and omega hierarchical ([omega]H) have been used to assess the degree to which a scale is essentially unidimensional and to predict structural coefficient bias when a unidimensional measurement model is fit to multidimensional data. The usefulness of these indices…
Descriptors: Correlation, Measurement Techniques, Prediction, Regression (Statistics)
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Sena Dogruyol; Bilge Bakir Aygar; Nezaket Bilge Uzun; Asena Yucedaglar – Journal on Educational Psychology, 2024
The Satisfaction with Life Scale (SWLS), a popular and widely used measurement tool in cross-cultural research, evaluates life satisfaction. Even though numerous studies have demonstrated factorial validity across a range of samples and cultures, the topic of factorial invariance across various subgroups is still up for debate. There are…
Descriptors: Measures (Individuals), Life Satisfaction, Factor Structure, Models
Strauss, Christian L. L. – ProQuest LLC, 2022
In many psychological and educational applications, it is imperative to obtain valid and reliable score estimates of multilevel processes. For example, in order to assess the quality and characteristics of high impact learning processes, one must compute accurate scores representative of student- and classroom-level constructs. Currently, there…
Descriptors: Scores, Factor Analysis, Models, True Scores
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Kush, Joseph C.; Canivez, Gary L. – International Journal of School & Educational Psychology, 2021
This study utilized confirmatory factor analyses to examine the latent factor structure of the Wechsler Intelligence Scale for Children--Fourth Edition, Italian adaptation (WISC-IV Italian) standardization sample. One through five, oblique first-order factor models and higher-order as well as bifactor models were examined and compared using CFA.…
Descriptors: Children, Intelligence Tests, Foreign Countries, Construct Validity
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Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
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Bai, Xuemei; Gu, Xiaoqing; Guo, Rifa – Education and Information Technologies, 2023
This study aimed to verify the applicability of the community of inquiry (CoI) survey instrument in MOOC involving 1,186 college students from 11 different disciplines in China. Exploratory factor analysis was used to explore potential factor structure models, and confirmatory factor analysis was utilized to verify the four-factor structure…
Descriptors: Models, Audits (Verification), Construct Validity, Communities of Practice
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Beauducel, André; Kersting, Martin – Educational and Psychological Measurement, 2020
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor…
Descriptors: Factor Structure, Factor Analysis, Sample Size, Intelligence
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Jenkins, Lyndsay N.; Canivez, Gary L. – International Journal of School & Educational Psychology, 2021
The Bullying Participant Behavior Questionnaire is a 50 item self-report survey designed to measure engagement in five bullying roles: bully, victim, assistant to the bully, defender of the victim, and outsider. The goal of the current study was to examine the higher-order factor structure of the BPBQ in a large middle school sample of 784…
Descriptors: Questionnaires, Bullying, Role, Victims
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Zhao, Xin; Coxe, Stefany; Sibley, Margaret H.; Zulauf-McCurdy, Courtney; Pettit, Jeremy W. – Prevention Science, 2023
There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…
Descriptors: Data Analysis, Sample Size, Decision Making, Test Items
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Fye, Heather J.; Memis, Riza; Soyturl, Ilker; Myer, Rebecca; Karpinski, Aryn C.; Rainey, J. Steve – Journal of School Counseling, 2020
The three-factor model structure of the School Counseling Program Implementation Survey was tested with a national sample (N=275) of school counselors. Confirmatory factor analysis (CFA) suggested a modified two-factor model was the most appropriate fit. Implications and future research for the school counseling profession are discussed.
Descriptors: Factor Analysis, School Counseling, Program Implementation, Surveys
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Barbara Means; Julie Neisler – Online Learning, 2023
Learner engagement is well-established as critical for learning online. Professional development for online instructors emphasizes techniques for engaging students, and learning technology products tout features intended to promote engagement (e.g., adaptive content, video, gamification). But the influence of particular instructor practices and of…
Descriptors: Learner Engagement, Electronic Learning, Teaching Methods, Educational Practices
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Ning, Hoi Kwan – Journal of Psychoeducational Assessment, 2019
Elliot, Murayama, Kobeisy, and Lichtenfeld recently developed a measure to assess students' self-based potential-approach and potential-avoidance achievement goals. The purpose of this study was to investigate the factor structure and criterion validity of this measure based on data obtained from a sample of Hong Kong university students. Results…
Descriptors: Factor Structure, Goal Orientation, Models, Foreign Countries
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Arens, A. Katrin; Jansen, Malte; Preckel, Franzis; Schmidt, Isabelle; Brunner, Martin – Review of Educational Research, 2021
The structure of academic self-concept (ASC) is assumed to be multidimensional and hierarchical. This methodological review considers the most central models depicting the structure of ASC: a higher-order factor model, the Marsh/Shavelson model, the nested Marsh/Shavelson model, a bifactor representation based on exploratory structural equation…
Descriptors: Foreign Countries, High School Students, Self Concept, Models
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Xu, Tianxi; Qian, Xueqin; Rifenbark, Graham G.; Shogren, Karrie A.; Hagiwara, Mayumi – Intellectual and Developmental Disabilities, 2022
This study explores the psychometric properties of "Self-Determination Inventory: Student Report" (SDI:SR) in students with intellectual and developmental disabilities (IDD) and without disabilities in China. The paper-and-pencil version of SDI:SR Chinese Translation (SDI:SR Chinese) was used to explore self-determination across students…
Descriptors: Foreign Countries, Psychometrics, Self Determination, Intellectual Disability
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