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Chunhua Cao; Xinya Liang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Cross-loadings are common in multiple-factor confirmatory factor analysis (CFA) but often ignored in measurement invariance testing. This study examined the impact of ignoring cross-loadings on the sensitivity of fit measures (CFI, RMSEA, SRMR, SRMRu, AIC, BIC, SaBIC, LRT) to measurement noninvariance. The manipulated design factors included the…
Descriptors: Goodness of Fit, Error of Measurement, Sample Size, Factor Analysis
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Tenko Raykov – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This note demonstrates that measurement invariance does not guarantee meaningful and valid group comparisons in multiple-population settings. The article follows on a recent critical discussion by Robitzsch and Lüdtke, who argued that measurement invariance was not a pre-requisite for such comparisons. Within the framework of common factor…
Descriptors: Error of Measurement, Prerequisites, Factor Analysis, Evaluation Methods
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Pere J. Ferrando; Ana Hernández-Dorado; Urbano Lorenzo-Seva – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…
Descriptors: Correlation, Factor Analysis, Models, Goodness of Fit
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Zirou Lin; Hanbing Yan; Li Zhao – Journal of Computer Assisted Learning, 2024
Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…
Descriptors: Peer Evaluation, Automation, Grading, Models
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Darmawan Muttaqin – Journal of Psychoeducational Assessment, 2024
The Vocational Identity Status Assessment (VISA) is one of the instruments that can be used to assess vocational identity. Conceptually, VISA consists of six sub-dimensions and has been validated using factor analysis. This study provides a factor structure test of the Indonesian version of VISA using the exploratory structural equation modeling…
Descriptors: Foreign Countries, Structural Equation Models, Vocational Interests, Occupational Tests
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Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
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Chen Cheng; Si Cheng; Chunsheng Feng – SAGE Open, 2024
Urbanization, vocational education, and industry in China have been influenced by policy and economic changes. This article outlines potential solutions for the integrated development of urbanization, vocational education, and industry in China. By integrating the development ideas of the triple helix model based on international related research…
Descriptors: Models, School Business Relationship, Foreign Countries, Vocational Education
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Meisam K. Arjmandi; Jean Neils-Strunjas; Samaneh Nemati; Julius Fridriksson; Sarah Newman-Norlund; Roger Newman-Norlund; Leonardo Bonilha – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Aging increases risk for hearing loss, cognitive decline, and social isolation; however, the nature of their interconnection remains unclear. This study examined the interplay between age-related hearing loss, cognitive decline, and social isolation in adults by testing the ability to understand speech in background noise, a challenge…
Descriptors: Adults, Aging (Individuals), Hearing Impairments, Dementia
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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Ayse Busra Ceviren – ProQuest LLC, 2024
Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…
Descriptors: Structural Equation Models, Error of Measurement, Statistical Bias, Monte Carlo Methods
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Serang, Sarfaraz – New Directions for Child and Adolescent Development, 2021
Longitudinal research is often interested in identifying correlates of heterogeneity in change. This paper compares three approaches for doing so: the mixed-effects model (latent growth curve model), the growth mixture model, and structural equation model trees. Each method is described, with special focus given to how each structures…
Descriptors: Longitudinal Studies, National Surveys, Growth Models, Structural Equation Models
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Corazza, Giovanni Emanuele; Lubart, Todd – Journal of Intelligence, 2021
This theoretical article proposes a unified framework of analysis for the constructs of intelligence and creativity. General definitions for intelligence and creativity are provided, allowing fair comparisons between the two context-embedded constructs. A novel taxonomy is introduced to classify the contexts in which intelligent and/or creative…
Descriptors: Intelligence, Creativity, Taxonomy, Time
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Deeb, Haneen; Vrij, Aldert; Leal, Sharon; Mann, Samantha – Applied Cognitive Psychology, 2021
The current experiment examined the effects of combining two interview techniques on information elicitation and lie detection in multiple interviews. Participants were interviewed online over three weeks. Two-thirds of the participants (n = 114) were presented with the model statement (MS) interview technique in Interview 1 and were asked to…
Descriptors: Interviews, Deception, Freehand Drawing, Models
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Jørgensen, Kenneth Mølbjerg; Strand, Anete Mikkala Camille; Hayden, Julia; Sparre, Mogens; Larsen, Jens – Learning Organization, 2021
Purpose: In accordance with Latour, this paper aims to respond to the call for a "down-to-earth" post-learning organization approach to sustainability, which is critical of Senge's conception of learning organization (LO). Design/methodology/approach: "Gaia storytelling" is used to define a LO that is "down-to-earth".…
Descriptors: Organizational Learning, Story Telling, Sustainability, Models
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Lund, Thorleif – Scandinavian Journal of Educational Research, 2021
The purpose of this paper is to propose a revision of the well-known Campbellian system for causal research. The revised system, termed the COPS model, applies to both applied and basic research. Five validities are included, where two validities are adopted from the Campbellian system, and the validities are partly hierarchically ordered.…
Descriptors: Research, Validity, Causal Models, Measurement
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