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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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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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Jiaying Xiao; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Accurate item parameters and standard errors (SEs) are crucial for many multidimensional item response theory (MIRT) applications. A recent study proposed the Gaussian Variational Expectation Maximization (GVEM) algorithm to improve computational efficiency and estimation accuracy (Cho et al., 2021). However, the SE estimation procedure has yet to…
Descriptors: Error of Measurement, Models, Evaluation Methods, Item Analysis
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Jia Liu; Xiangbin Meng; Gongjun Xu; Wei Gao; Ningzhong Shi – Grantee Submission, 2024
In this paper, we develop a mixed stochastic approximation expectation-maximization (MSAEM) algorithm coupled with a Gibbs sampler to compute the marginalized maximum a posteriori estimate (MMAPE) of a confirmatory multidimensional four-parameter normal ogive (M4PNO) model. The proposed MSAEM algorithm not only has the computational advantages of…
Descriptors: Algorithms, Achievement Tests, International Assessment, Foreign Countries
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Jia Liu; Xiangbin Meng; Gongjun Xu; Wei Gao; Ningzhong Shi – Journal of Educational Measurement, 2024
In this paper, we develop a mixed stochastic approximation expectation-maximization (MSAEM) algorithm coupled with a Gibbs sampler to compute the marginalized maximum a posteriori estimate (MMAPE) of a confirmatory multidimensional four-parameter normal ogive (M4PNO) model. The proposed MSAEM algorithm not only has the computational advantages of…
Descriptors: Algorithms, Achievement Tests, Foreign Countries, International Assessment
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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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Rolf Straubhaar – InSight: A Journal of Scholarly Teaching, 2024
For Students of Color in the United States, to attend university is to live and work within a social reality that reproduces a hegemonic social order. Professors can and should assist students in recognizing the dominant social standpoint embodied in much of university instruction, while also recognizing the equal validity of their own and their…
Descriptors: Minority Group Students, Social Justice, Cultural Capital, Models
Rebekka Zydel – Advocates for Children of New Jersey, 2024
New Jersey cannot afford to lose even one family child care (FCC) provider as access to high-quality child care is more challenging for parents today than before the COVID-19 health emergency. Staffing shortages and rising expenses make it increasingly difficult for FCC providers to keep their doors open, requiring these business owners to draw on…
Descriptors: Child Care, Budgets, Educational Finance, Budgeting
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Denis Shchepakin; Sreecharan Sankaranarayanan; Dawn Zimmaro – International Educational Data Mining Society, 2024
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…
Descriptors: Algorithms, Bayesian Statistics, Probability, Artificial Intelligence
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Ashley L. Watts; Ashley L. Greene; Wes Bonifay; Eiko L. Fried – Grantee Submission, 2024
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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Davis, Paige E.; King, Nigel; Meins, Elizabeth; Fernyhough, Charles – Infant and Child Development, 2023
Spontaneous imaginary companion (SIC) creation in childhood is a typical imaginative play behaviour associated with advanced sociocognitive skills; however, the direction of causality has not been established. To investigate this experimentally, researchers must determine whether children can create, on request, qualitatively equivalent imaginary…
Descriptors: Children, Imagination, Play, Causal Models
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Orland-Barak, Lily – Journal of Teacher Education, 2023
In this article I describe and reflect on my evolving understandings of the study of mentoring since the publication of the 2005 article in the Journal of Teacher Education. My reflective journey suggests stressing two assertions to the study of mentoring. One, that there is a need to develop a more multidimensional and integrated conception of…
Descriptors: Mentors, Models, Educational Research, Reflective Teaching
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