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Andrew Jaciw – Society for Research on Educational Effectiveness, 2024
Background: Rooted in problems of social justice, intersectionality addresses intragroup differences in impacts and outcomes and the compound discrimination at specific intersections of classification (Crenshaw,1991). It stresses that deficits/debts in outcomes often occur non-additively; for example, discriminatory hiring practices can be…
Descriptors: Intersectionality, Classification, Randomized Controlled Trials, Factor Analysis
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Gonzalez, Oscar – Educational and Psychological Measurement, 2023
When scores are used to make decisions about respondents, it is of interest to estimate classification accuracy (CA), the probability of making a correct decision, and classification consistency (CC), the probability of making the same decision across two parallel administrations of the measure. Model-based estimates of CA and CC computed from the…
Descriptors: Classification, Accuracy, Intervals, Probability
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Daniel McNeish; Patrick D. Manapat – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A recent review found that 11% of published factor models are hierarchical models with second-order factors. However, dedicated recommendations for evaluating hierarchical model fit have yet to emerge. Traditional benchmarks like RMSEA <0.06 or CFI >0.95 are often consulted, but they were never intended to generalize to hierarchical models.…
Descriptors: Factor Analysis, Goodness of Fit, Hierarchical Linear Modeling, Benchmarking
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Kjersti E. Dahl – Journal of Social Science Education, 2024
Purpose: This study explores debate seeking and conflict avoidance as dimensions of disagreement orientation, and how factors such as citizenship education and individual background may impact how young people engage in situations with conflicting political perspectives. The aim is to study whether how we facilitate citizenship education may…
Descriptors: Citizenship Education, Factor Analysis, Secondary School Students, Political Attitudes
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Liang, Xinya; Cao, Chunhua – Journal of Experimental Education, 2023
To evaluate multidimensional factor structure, a popular method that combines features of confirmatory and exploratory factor analysis is Bayesian structural equation modeling with small-variance normal priors (BSEM-N). This simulation study evaluated BSEM-N as a variable selection and parameter estimation tool in factor analysis with sparse…
Descriptors: Factor Analysis, Bayesian Statistics, Structural Equation Models, Simulation
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Ashley L. Watts; Ashley L. Greene; Wes Bonifay; Eiko L. Fried – Grantee Submission, 2023
The p-factor is a construct that is thought to explain and maybe even cause variation in all forms of psychopathology. Since its 'discovery' in 2012, hundreds of studies have been dedicated to the extraction and validation of statistical instantiations of the p-factor, called general factors of psychopathology. In this Perspective, we outline five…
Descriptors: Causal Models, Psychopathology, Goodness of Fit, Validity
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Jehanzeb Rashid Cheema – Journal of Education in Muslim Societies, 2024
This study explores the relationship between the Spiral Dynamics and the 3H (head, heart, hands) models of human growth and development, using constructs such as empathy, moral reasoning, forgiveness, and community mindedness that have been shown to have implications for education. The specific research question is, "Can a combination of…
Descriptors: Correlation, Factor Analysis, Computer Software, Moral Values
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Min-Ying Tsai – SAGE Open, 2024
The study aimed to explore the Chinese version of the Frost Multidimensional Perfectionism Scale suitable for gifted junior high school students and to classify the types of perfectionism. The Frost Multidimensional Perfectionism Scale was translated into Chinese to evaluate the factor structure and typology of academically gifted students in…
Descriptors: Foreign Countries, Personality Traits, Measures (Individuals), Psychometrics
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Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
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Jae Yup Jung; Jihyun Lee – Exceptional Children, 2024
This study investigated the typologies of teacher attitudes toward gifted students and gifted education, along with the predictors of such attitudes. For this purpose, surveys were administered to 339 teachers employed in a large faith-based school system in Australia. Analyses including factor analysis and latent profile analysis were performed…
Descriptors: Teacher Attitudes, Academically Gifted, Gifted Education, Predictor Variables
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Day, Trevor K. M.; Elison, Jed T. – Journal of Child Language, 2022
A critical question in the study of language development is to understand lexical and syntactic acquisition, which play different roles in speech to the extent it would be natural to surmise they are acquired differently. As measured through the comprehension and production of closed-class words, syntactic ability emerges at roughly the 400-word…
Descriptors: Syntax, Vocabulary Development, Factor Analysis, Classification
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Min-Ying Tsai – SAGE Open, 2025
The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…
Descriptors: Foreign Countries, Psychometrics, Classification, Psychological Patterns
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Abdulmajeed Alghamdi – Asian-Pacific Journal of Second and Foreign Language Education, 2024
Despite the critical role of reasoning in shaping language teaching and learning strategies in higher education, prior studies have either separately examined reasoning or focused on one specific type thereof and language teaching and learning strategies. To address this gap, this study took a comprehensive approach by examining various types of…
Descriptors: Second Language Learning, Second Language Instruction, Learning Strategies, Arabic
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Liu, Yixing; Thompson, Marilyn S. – Journal of Experimental Education, 2022
A simulation study was conducted to explore the impact of differential item functioning (DIF) on general factor difference estimation for bifactor, ordinal data. Common analysis misspecifications in which the generated bifactor data with DIF were fitted using models with equality constraints on noninvariant item parameters were compared under data…
Descriptors: Comparative Analysis, Item Analysis, Sample Size, Error of Measurement
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Lin Lin; Guan Ying Li; Xuejun Guo – Language Teaching Research, 2024
Teachers' conceptions of assessment are a significant indicator of teacher assessment literacy. This study contextualized pre-service teachers' conceptions of assessment in Chinese second language education. An exploratory factor analysis generated eight first-order factors and the following confirmatory factor analysis found a hierarchical model,…
Descriptors: Preservice Teachers, Language Teachers, Teacher Education Programs, Chinese
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