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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Nagle, Charles L. – Language Learning, 2021
Models of L2 pronunciation learning have hypothesized that accurate speech perception promotes accurate speech production. This claim can be evaluated longitudinally by examining the extent to which changes in stop consonant perception predict changes in stop consonant production. Taking a time-sensitive view of the perception-production link,…
Descriptors: Models, Second Language Learning, Second Language Instruction, Speech Communication
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Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
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Psyridou, Maria; Tolvanen, Asko; Patel, Priyanka; Khanolainen, Daria; Lerkkanen, Marja-Kristiina; Poikkeus, Anna-Maija; Torppa, Minna – Scientific Studies of Reading, 2023
Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…
Descriptors: Reading Difficulties, Networks, Artificial Intelligence, Predictor Variables
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Marsh, Herbert W.; Pekrun, Reinhard; Lüdtke, Oliver – Educational Psychology Review, 2022
Much research shows academic self-concept and achievement are reciprocally related over time, based on traditional longitudinal data cross-lag-panel models (CLPM) supporting a reciprocal effects model (REM). However, recent research has challenged CLPM's appropriateness, arguing that CLPMs with random intercepts (RI-CLPMs) provide a more robust…
Descriptors: Self Concept, Grades (Scholastic), Gender Differences, Mathematics Achievement
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Cain, Meghan K.; Zhang, Zhiyong; Bergeman, C. S. – Educational and Psychological Measurement, 2018
This article serves as a practical guide to mediation design and analysis by evaluating the ability of mediation models to detect a significant mediation effect using limited data. The cross-sectional mediation model, which has been shown to be biased when the mediation is happening over time, is compared with longitudinal mediation models:…
Descriptors: Mediation Theory, Case Studies, Longitudinal Studies, Measurement Techniques
Cain, Meghan K.; Zhang, Zhiyong; Bergeman, C.S. – Grantee Submission, 2018
This paper serves as a practical guide to mediation design and analysis by evaluating the ability of mediation models to detect a significant mediation effect using limited data. The cross-sectional mediation model, which has been shown to be biased when the mediation is happening over time, is compared to longitudinal mediation models:…
Descriptors: Mediation Theory, Case Studies, Longitudinal Studies, Measurement Techniques
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Yang, Qian; Tian, Lili; Huebner, E. Scott; Zhu, Xinxin – School Psychology, 2019
Situated within a positive psychology perspective, the current study examined the relations among academic achievement, self-esteem, and subjective well-being (SWB) in school among Chinese elementary school students using a longitudinal mediation model. A total of 807 elementary school students (M[subscript age] = 9.43 years; 52.9% male) completed…
Descriptors: Correlation, Academic Achievement, Self Esteem, Well Being
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Soland, James – Research & Practice in Assessment, 2017
Research shows college readiness can be predicted using a variety of measures, including test scores, grades, course-taking patterns, noncognitive instruments, and surveys of how well students understand the college admissions process. However, few studies provide guidance on how educators can prioritize predictors of college readiness across…
Descriptors: College Readiness, Predictor Variables, Data Analysis, Measures (Individuals)
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Lee, Chung Gun; Seo, Dong-Chul; Torabi, Mohammad R.; Lohrmann, David K.; Song, Tae Min – Journal of School Health, 2018
Background: We examined the longitudinal trajectory of substance use (binge drinking, marijuana use, and cocaine use) in relation to self-esteem from adolescence to young adulthood. Methods: Generalized estimating equation models were fit using SAS to investigate changes in the relation between self-esteem and each substance use (binge drinking,…
Descriptors: Self Esteem, Substance Abuse, Adolescents, Young Adults
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Gardner, Josh; Brooks, Christopher; Li, Warren – Journal of Learning Analytics, 2018
In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…
Descriptors: Markov Processes, Classification, Undergraduate Students, Grade Point Average
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Chae, Soo Eun; Kang, Gusup – International Journal of Lifelong Education, 2018
Using Korean Longitudinal Study of Aging data, we examined the influence of older adults' individual characteristics (i.e. marital status, health and economic status) on life satisfaction, with the mediating effect of older adults' active participation in lifelong learning. As a result, some individual characteristics appeared to significantly…
Descriptors: Older Adults, Lifelong Learning, Life Satisfaction, Foreign Countries
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Jiang, Hui; Logan, Jessica A.; Jia, Rongfang – Journal of Speech, Language, and Hearing Research, 2018
Purpose: This study investigated the longitudinal development of 2 important contributors to reading comprehension, grammar, and vocabulary skills. The primary interest was to examine the trajectories of the 2 skill areas from preschool to 3rd grade. Method: The study involved a longitudinal sample of 420 children from 4 sites. Language skills,…
Descriptors: Grammar, Vocabulary, Longitudinal Studies, Reading Comprehension
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Eugene, Danielle R. – Journal of Education for Students Placed at Risk, 2020
This multilevel study examined the effects of socioeconomic status (SES) and student perceptions of school climate on academic achievement at the student and school levels. Data used were from the Education Longitudinal Study of 2002. The sample included 9,518 students enrolled in 584 public high schools. The results revealed that student-level…
Descriptors: Models, Educational Environment, Socioeconomic Status, Student Attitudes
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