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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
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Grantee Submission, 2021
Multilevel structural equation (MSEM) models allow researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This paper…
Descriptors: Sampling, Structural Equation Models, Factor Structure, Monte Carlo 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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Chunlei Gao; Mingqing Jian; Ailin Yuan – SAGE Open, 2024
The Digital Stress Scale (DSS) is used to measure digital stress, which is the perceived stress and anxiety associated with social media use. In this study, the Chinese version of the DSS was validated using a sample of 721 Chinese college students, 321 males and 400 females (KMO = 0.923; Bartlett = 5,058.492, p < 0.001). Confirmatory factor…
Descriptors: Factor Structure, Factor Analysis, Psychometrics, Anxiety
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Yi, Soohyun; Pereira, Nielsen; Ahn, Inok; Lee, Soonmook – Journal of Psychoeducational Assessment, 2022
For decades, achievement goal theory has been extensively used, but empirical research still requires a clearer understanding of the underlying factors conceptualized and measured during secondary school periods. In light of the increasing use of longitudinal studies in motivation research, this study aims to investigate the longitudinal…
Descriptors: Factor Structure, Secondary School Students, Longitudinal Studies, Goal Orientation
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Purc, Ewelina; Laguna, Mariola – Journal of Creative Behavior, 2019
The article presents an analysis of the factorial structure and measurement invariance of the Innovative Behavior Questionnaire, developed by Scott and Bruce. Although the instrument is widely used to capture individuals' innovative behavior, very little evidence concerning its psychometric properties is available. A time-lagged study among 382…
Descriptors: Innovation, Creativity, Questionnaires, Factor Structure
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Martín-Puga, M. Eva; Pelegrina, Santiago; Gómez-Pérez, M. Mar; Justicia-Galiano, M. José – Journal of Psychoeducational Assessment, 2022
The objectives were to examine the factorial structure of the Academic Procrastination Scale-Short Form (APS-S) and the measurement invariance across gender and educational levels, to determine possible differences in procrastination across gender, educational levels, and grades. The sample was formed of 1486 Spanish primary and secondary school…
Descriptors: Psychometrics, Measures (Individuals), Study Habits, Scores
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Kilic, Abdullah Faruk; Uysal, Ibrahim; Atar, Burcu – International Journal of Assessment Tools in Education, 2020
This Monte Carlo simulation study aimed to investigate confirmatory factor analysis (CFA) estimation methods under different conditions, such as sample size, distribution of indicators, test length, average factor loading, and factor structure. Binary data were generated to compare the performance of maximum likelihood (ML), mean and variance…
Descriptors: Factor Analysis, Computation, Methods, Sample Size
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Acar, Ibrahim H.; Frohn, Scott; Prokasky, Amanda; Molfese, Victoria J.; Bates, John E. – Infant and Child Development, 2019
The study examines the concurrent and longitudinal associations between ratings-based measures (parents, secondary caregivers, and observers) and performance-based measures of focused attention in toddlers aged 30 (n = 147), 36 (n = 127), and 42 months (n = 107). Parents and secondary caregivers rated focused attention behaviours using the…
Descriptors: Toddlers, Attention Control, Correlation, Child Behavior
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Mastrotheodoros, Stefanos; Pavlopoulos, Vassilis; Motti-Stefanidi, Frosso – European Journal of Developmental Psychology, 2021
The Utrecht-Management of Identity Commitments Scale (U-MICS) is one of the most-commonly used self-report scales to assess personal identity in studies of developmental processes. While it has been translated and validated in many countries around the world, evidence of its applicability in Greek is absent. The purpose of this study was to…
Descriptors: Self Concept Measures, Factor Structure, Self Concept, Developmental Stages
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Meredith P. Franco; Jessika H. Bottiani; Katrina J. Debnam; Wes Bonifay; Toshna Pandey; Juliana Karras; Catherine P. Bradshaw – Grantee Submission, 2024
There is growing interest in improving and assessing teachers' use of culturally responsive practices (CRP) in the classroom, yet relatively few research-based approaches exist to address these measurement gaps. This article presents findings on the psychometric properties of a newly developed classroom observation measure of CRP, called the CARES…
Descriptors: Culturally Relevant Education, Classroom Observation Techniques, Construct Validity, Educational Practices
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Meng, Lingqi; Qiu, Chen; Boyd-Wilson, Belinda – British Journal of Educational Technology, 2019
The present study investigated the factor structure of and measurement invariance in the information and communication technology (ICT) engagement construct, and the relationship between ICT engagement and students' performance on science, mathematics and reading in China and Germany. Samples were derived from the Programme for International…
Descriptors: Factor Structure, Information Technology, Error of Measurement, Science Achievement
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Rusu, Petruta P.; Hilpert, Peter; Turliuc, Maria N.; Bodenmann, Guy – Measurement and Evaluation in Counseling and Development, 2016
This study investigates the psychometric properties of the Romanian version of the Dyadic Coping Inventory with data from 510 married couples. The results confirm the theoretical factorial structure of the Dyadic Coping Inventory for both partners, indicating convergent validity, discriminate validity, and measurement invariance (across genders…
Descriptors: Coping, Psychometrics, Spouses, Factor Structure
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Schmitt, Thomas A.; Sass, Daniel A. – Educational and Psychological Measurement, 2011
Exploratory factor analysis (EFA) has long been used in the social sciences to depict the relationships between variables/items and latent traits. Researchers face many choices when using EFA, including the choice of rotation criterion, which can be difficult given that few research articles have discussed and/or demonstrated their differences.…
Descriptors: Hypothesis Testing, Factor Analysis, Correlation, Criteria
Guerere, Claudia – ProQuest LLC, 2013
Scores from value-added models (VAMs), as used for educational accountability, represent the educational effect teachers have on their students. The use of these scores in teacher evaluations for high-stakes decision making is new for the State of Florida. Validity evidence that supports or questions the use of these scores is critically needed.…
Descriptors: Teacher Evaluation, Accountability, School Districts, Validity
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