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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
Benjamin R. Shear; Derek C. Briggs – Asia Pacific Education Review, 2024
Research in the social and behavioral sciences relies on a wide range of experimental and quasi-experimental designs to estimate the causal effects of specific programs, policies, and events. In this paper we highlight measurement issues relevant to evaluating the validity of causal estimation and generalization. These issues impact all four…
Descriptors: Measurement Techniques, Inferences, COVID-19, Pandemics
Steffen Erickson – Society for Research on Educational Effectiveness, 2024
Background: Structural Equation Modeling (SEM) is a powerful and broadly utilized statistical framework. Researchers employ these models to dissect relationships into direct, indirect, and total effects (Bollen, 1989). These models unpack the "black box" issues within cause-and-effect studies by examining the underlying theoretical…
Descriptors: Structural Equation Models, Causal Models, Research Methodology, Error of Measurement
The Relationship between Digital Literacy Levels and Lifelong Learning Tendencies of Future Teachers
Ebru Elçi – South African Journal of Education, 2024
With this research we aimed to determine the correlation between teacher candidates' digital literacy levels and lifelong learning tendencies. This research was created as a mixed methods research. The quantitative group of the research consisted of 650 teacher candidates studying at the education faculties of different universities in Istanbul in…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Digital Literacy
Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Zuxing Wang; Hongru Zhu; Lili Chen; Chenyu Gan; Wenjiao Min; Jun Xiao; Zhili Zou; Ying He – Journal of Attention Disorders, 2024
Objective: Previous research suggests a potential link between unsaturated fatty acids (UFAs) and ADHD, but the causal relationship remains uncertain. This study aims to investigate the causal association between ADHD and UFAs using Mendelian randomization (MR) analysis. Methods: Summary data from genome-wide association studies were used to…
Descriptors: Foreign Countries, Attention Deficit Hyperactivity Disorder, Biochemistry, Metabolism
Wuji Lin; Chenxi Lv; Jiejie Liao; Yuan Hu; Yutong Liu; Jingyuan Lin – npj Science of Learning, 2024
The debate about whether the capacity of working memory (WM) varies with the complexity of memory items continues. This study employed novel experimental materials to investigate the role of complexity in WM capacity. Across seven experiments, we explored the relationship between complexity and WM capacity. The results indicated that the…
Descriptors: Short Term Memory, Difficulty Level, Retention (Psychology), Test Items
Nathan D. Maxfield – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Target word activation in picture naming was explored in children who stutter (CWS) and typically fluent children (TFC) using event-related potentials (ERPs). Method: A total of 18 CWS and 16 TFC completed a task combining picture naming and probe word identification. On each trial, a picture-to-be-named was followed by an auditory probe…
Descriptors: Elementary School Students, Stuttering, Naming, Visual Stimuli
Julie Y. L. Chow; Jessica C. Lee; Peter F. Lovibond – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
People often rely on the covariation between events to infer causality. However, covariation between cues and outcomes may change over time. In the associative learning literature, extinction provides a model to study updating of causal beliefs when a previously established relationship no longer holds. Prediction error theories can explain both…
Descriptors: Beliefs, Learning Processes, Foreign Countries, Attribution Theory
Alrik Thiem; Lusine Mkrtchyan – Field Methods, 2024
Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is…
Descriptors: Qualitative Research, Comparative Analysis, Research Methodology, Benchmarking
Kyle M. Frost; Brooke Ingersoll – Journal of Early Intervention, 2024
Limited research has examined the active ingredients and mechanisms of change of naturalistic developmental behavioral interventions (NDBIs). The present study used an exploratory sequential mixed-methods design to develop a comprehensive Theory of Change of Project ImPACT, an empirically supported NDBI. We used qualitative data from interviews…
Descriptors: Early Intervention, Behavior Modification, Autism Spectrum Disorders, Causal Models
Cody Ding – Educational Psychology Review, 2024
In the article "It's Just an Observation," Robinson and Wainer (Educational Psychology Review 35, Robinson, D., & Wainer, H. (2023). It's just an observation. Educational Psychology Review, 35(83), Published online: 14 August, 2023) lamented that educational psychology is moving toward the dark side of the quality continuum, with…
Descriptors: Journal Articles, Educational Psychology, Quality Assurance, Barriers
Jeroen D. Mulder; Kim Luijken; Bas B. L. Penning de Vries; Ellen L. Hamaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The use of structural equation models for causal inference from panel data is critiqued in the causal inference literature for unnecessarily relying on a large number of parametric assumptions, and alternative methods originating from the potential outcomes framework have been recommended, such as inverse probability weighting (IPW) estimation of…
Descriptors: Structural Equation Models, Time on Task, Time Management, Causal Models
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
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