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Rajesh Kumar Sharma; Sukhpreet Kaur – International Journal of Educational Management, 2024
Purpose: The purpose of this paper is to analyse the mediating role of organisational citizenship behaviour between transformational leadership and successful implementation of education 4.0 in higher educational institutes using the PLS-SEM approach. Design/methodology/approach: The study uses cross-sectional and quantitative approach to decode…
Descriptors: Transformational Leadership, Organizational Climate, Citizenship, Higher Education
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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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Eifler, Eike Friederike; Riemann, Rainer – British Journal of Educational Psychology, 2022
Background: Educational attainment is connected to many important life outcomes, and the previous research has already focused on identifying its genetic and environmental components. However, most of these studies used twin data only and did not incorporate information from other family members. Twin studies typically decompose the phenotypic…
Descriptors: Etiology, Educational Attainment, Twins, Genetics
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Fowler, Max; Smith, David H., IV; Hassan, Mohammed; Poulsen, Seth; West, Matthew; Zilles, Craig – Computer Science Education, 2022
Background and Context: Lopez and Lister first presented evidence for a skill hierarchy of code reading, tracing, and writing for introductory programming students. Further support for this hierarchy could help computer science educators sequence course content to best build student programming skill. Objective: This study aims to replicate a…
Descriptors: Programming, Computer Science Education, Correlation, Introductory Courses
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Miyazaki, Yasuo; Kamata, Akihito; Uekawa, Kazuaki; Sun, Yizhi – Educational and Psychological Measurement, 2022
This paper investigated consequences of measurement error in the pretest on the estimate of the treatment effect in a pretest-posttest design with the analysis of covariance (ANCOVA) model, focusing on both the direction and magnitude of its bias. Some prior studies have examined the magnitude of the bias due to measurement error and suggested…
Descriptors: Error of Measurement, Pretesting, Pretests Posttests, Statistical Bias
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Beauducel, André; Hilger, Norbert – Educational and Psychological Measurement, 2022
In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the…
Descriptors: Bayesian Statistics, Factor Analysis, Prediction, Simulation
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Fatih Orcan – International Journal of Assessment Tools in Education, 2023
Among all, Cronbach's Alpha and McDonald's Omega are commonly used for reliability estimations. The alpha uses inter-item correlations while omega is based on a factor analysis result. This study uses simulated ordinal data sets to test whether the alpha and omega produce different estimates. Their performances were compared according to the…
Descriptors: Statistical Analysis, Monte Carlo Methods, Correlation, Factor Analysis
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Carl L. Hanson; Brianna M. Magnusson; Alice Ann Crandall; Michael D. Barnes; Emily McFarland; McKaylee Smith – Journal of American College Health, 2024
Objective: Previous research suggests that both adverse childhood experiences (ACEs), positive childhood experiences (PCEs), and current life experiences are associated with emotional wellbeing and mental health. The purpose of this study was to explore the influence of these life experience and coping processes on college student emotional and…
Descriptors: College Students, Mental Health, Outcomes of Education, Coping
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Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John – Educational and Psychological Measurement, 2021
This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates…
Descriptors: Goodness of Fit, Hierarchical Linear Modeling, Computation, Models
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Ünal, Zehra E.; Greene, Nathaniel R.; Lin, Xin; Geary, David C. – Educational Psychology Review, 2023
Two meta-analyses assessed whether the relations between reading and mathematics outcomes could be explained through overlapping skills (e.g., systems for word and fact retrieval) or domain-general influences (e.g., top-down attentional control). The first (378 studies, 1,282,796 participants) included weighted random-effects meta-regression…
Descriptors: Correlation, Reading Achievement, Mathematics Achievement, Meta Analysis
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Yalçin, Ilhan – British Journal of Guidance & Counselling, 2023
The purpose of the current study was to investigate the relationships among life satisfaction, meaning in life and basic psychological need satisfaction. Participants were 384 college students. Balanced Measure of Psychological Needs Scale, Meaning in Life Questionnaire, Satisfaction with Life Scale and demographic information form were utilised…
Descriptors: Correlation, Life Satisfaction, Student Attitudes, Personal Autonomy
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Weiss, Selina; Steger, Diana; Schroeders, Ulrich; Wilhelm, Oliver – Journal of Intelligence, 2020
Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer…
Descriptors: Intelligence, Creativity, Prediction, Correlation
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Marcoulides, Katerina M.; Yuan, Ke-Hai – International Journal of Research & Method in Education, 2020
Multilevel structural equation models (MSEM) are typically evaluated on the basis of goodness of fit indices. A problem with these indices is that they pertain to the entire model, reflecting simultaneously the degree of fit for all levels in the model. Consequently, in cases that lack model fit, it is unclear which level model is misspecified.…
Descriptors: Goodness of Fit, Structural Equation Models, Correlation, Inferences
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Kokkinos, Constantinos M.; Voulgaridou, Ioanna; Despoti, Georgia – Journal of School Violence, 2021
The current study investigated the indirect effects of anger on the four forms and functions of relational aggression (i.e., proactive indirect, proactive direct, reactive indirect, reactive direct) through anger rumination in a sample of 1020 Greek adolescents (504 boys). Males used more proactive direct and indirect relational aggression,…
Descriptors: Foreign Countries, Psychological Patterns, Gender Differences, Aggression
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Wang, Faming; Jiang, Chunlian; King, Ronnel B.; Leung, Shing On – Psychology in the Schools, 2023
The Motivated Strategies for Learning Questionnaire (MSLQ) is one of the most widely used instruments to measure students' motivation and self-regulated learning. However, the MSLQ was developed and has been predominantly used in the Western context, is a domain-general measure, and is quite lengthy. Hence, adapting the MSLQ to the Chinese…
Descriptors: Learning Strategies, Questionnaires, Metacognition, Cultural Context
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