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Philip Dawid; Macartan Humphreys; Monica Musio – Sociological Methods & Research, 2024
Suppose "X" and "Y" are binary exposure and outcome variables, and we have full knowledge of the distribution of "Y," given application of "X." We are interested in assessing whether an outcome in some case is due to the exposure. This "probability of causation" is of interest in comparative…
Descriptors: Causal Models, Intervals, Probability, Qualitative Research
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Xu Qin – Asia Pacific Education Review, 2024
Causal mediation analysis has gained increasing attention in recent years. This article guides empirical researchers through the concepts and challenges of causal mediation analysis. I first clarify the difference between traditional and causal mediation analysis and highlight the importance of adjusting for the treatment-by-mediator interaction…
Descriptors: Causal Models, Mediation Theory, Statistical Analysis, Computer Software
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Jaildo Tavares Pequeno; Benjamim Fonseca; Joaquim Bernardino Oliveira Lopes – International Journal of Technology and Design Education, 2024
This work aims to identify teaching and learning practices in practical classes of Computer Network Technology courses, which promote the use of the Physical Laboratory (PL) as an epistemic tool to improve learning in epistemic terms. Content analysis of Multimodal Narrations (MN) of three classes by two teachers were used. An MN aggregates and…
Descriptors: Epistemology, Learning Processes, Mediation Theory, Computer Science Education
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Nedim Özdemir; Sedat Gümüs; Ali Çagatay Kilinç; Mehmet Sükrü Bellibas – Educational Management Administration & Leadership, 2024
This systematic review sought to expand our knowledge of the increasing research studies focusing on the empirical link between school leadership and student achievement. Using five different data sources (Scopus, WoS, ERIC, Google Scholar, and Retrospective Reference Harvesting Procedure), we created a data set of 144 journal articles.…
Descriptors: Instructional Leadership, Academic Achievement, Models, Mediation Theory
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Karlson, Kristian Bernt; Popham, Frank; Holm, Anders – Sociological Methods & Research, 2023
This article presents two ways of quantifying confounding using logistic response models for binary outcomes. Drawing on the distinction between marginal and conditional odds ratios in statistics, we define two corresponding measures of confounding (marginal and conditional) that can be recovered from a simple standardization approach. We…
Descriptors: Statistical Analysis, Probability, Standards, Mediation Theory
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Schlesinger, Walesska; Cervera-Taulet, Amparo; Wymer, Walter – Journal of Marketing for Higher Education, 2023
This study investigates the influence of university brand image, satisfaction, and alumni's university identification on positive word-of-mouth (WOM) intentions. The model is tested using data collected from a sample of 1000 university alumni, an important and under-researched stakeholder group. A contribution is provided by enhancing our…
Descriptors: Universities, Reputation, Marketing, Alumni
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Sedat Turgut; Mahir Ugurlu – Psychology in the Schools, 2024
This study examined the mediator role of mathematics motivation and the moderator role of mathematics anxiety (MA) in the relationship between metacognition (MC) and mathematical resilience (MR). The participants are 202 gifted students. Data were collected through the "Metacognitive Awareness Scale," "MR Scale," "Revised…
Descriptors: Mediation Theory, Metacognition, Mathematics Skills, Resilience (Psychology)
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Yasmin Yaqub; Tanusree Dutta; Swati Dhir – International Journal of Educational Management, 2024
Purpose: Grounding on the goal-setting theory and flow theory, this study explored the mechanism underlying the association between transfer design (TD); identical elements and training transfer (TT). Specifically, the authors explored a moderated mediation process of trainer performance and motivation to improve work through learning (MTIWL) that…
Descriptors: Mediation Theory, Transfer of Training, Leadership, Intervention
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Xiao Liu; Zhiyong Zhang; Kristin Valentino; Lijuan Wang – Grantee Submission, 2024
Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to longitudinally investigate the mediation effects of treatment on the level and change of outcome through the level and change of mediator. An important but often violated assumption in empirical PP-LGCMM analysis is the absence of omitted confounders of the…
Descriptors: Mediation Theory, Bayesian Statistics, Growth Models, Monte Carlo Methods
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Xiao Liu; Zhiyong Zhang; Kristin Valentino; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to longitudinally investigate the mediation effects of treatment on the level and change of outcome through the level and change of mediator. An important but often violated assumption in empirical PP-LGCMM analysis is the absence of omitted confounders of the…
Descriptors: Mediation Theory, Bayesian Statistics, Growth Models, Monte Carlo Methods
Xiao Liu; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2022
Mediation analysis is widely used to study whether the effect of an independent variable on an outcome is transmitted through a mediator. Bayesian methods have become increasingly popular for mediation analysis. However, limited research has been done on formal Bayesian hypothesis testing of mediation. Although hypothesis testing using Bayes…
Descriptors: Bayesian Statistics, Hypothesis Testing, Mediation Theory, Vignettes
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Ziqian Xu; Fei Gao; Anqi Fa; Wen Qu; Zhiyong Zhang – Grantee Submission, 2024
Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that provide such power analysis functionalities. In this…
Descriptors: Statistical Analysis, Sample Size, Mediation Theory, Monte Carlo Methods
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Ana Butkovic; Irma Brkovic; Ines Buretic – Journal of Applied Research in Higher Education, 2024
Purpose: Higher education performance is boosted through cross-border cooperation and increased transnational mobility of students. In addition, exchange students have better employability skills after staying abroad compared to the students' peers. A number of studies have investigated factors that determine whether a student studies abroad. In…
Descriptors: Cultural Awareness, Intelligence, College Students, Intention
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Xuefeng Qiao; Shi Hu – Educational Studies, 2024
Based on the person-organisation fit theory, this study examines the underlying mechanisms of the relationship between value congruence and teacher commitment among schoolteachers. We tested whether value congruence was related to higher teacher commitment via teacher self-efficacy and whether time pressure moderated these potential direct and…
Descriptors: Teacher Motivation, Teacher Characteristics, Self Efficacy, Stress Variables
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Jie Fang; Zhonglin Wen; Kit-Tai Hau – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are commonly used in testing intensive longitudinal data (ILD). Researchers are interested in ILD mediation models, but their analyses are challenging. The present paper mathematically derived, empirically compared, and step-by-step demonstrated three types (i.e.,…
Descriptors: Structural Equation Models, Mediation Theory, Data Analysis, Longitudinal Studies
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