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Peer reviewed
Direct linkErnest C. Davenport Jr.; Mark L. Davison; Kyungin Park – Journal of Educational and Behavioral Statistics, 2024
The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…
Descriptors: High School Students, Mathematics Instruction, Mathematics Achievement, Grade 9
Thomas D. Griffin; Allison J. Jaeger; M. Anne Britt; Jennifer Wiley – Instructional Science: An International Journal of the Learning Sciences, 2024
Relying on multiple documents to answer questions is becoming common for both academic and personal inquiry tasks. These tasks often require students to explain phenomena by taking various causal factors that are mentioned separately in different documents and integrating them into a coherent multi-causal explanation of some phenomena. However,…
Descriptors: Documentation, Inquiry, Grade 8, Scientific Concepts
Quoc Hoa Tran-Duong – Cambridge Journal of Education, 2024
The quality of products from the causal mapping process and the effect of factors related to causal map quality are unlikely to be the same for students at different educational levels. However, there is a lack of studies that provide insights into causal maps constructed by primary school students to reveal appropriate strategies. This study…
Descriptors: Cognitive Mapping, Causal Models, Prior Learning, Elementary School Students
Joong won Lee; Young-Suk Kim – Reading and Writing: An Interdisciplinary Journal, 2024
The aim of this study is to explore the relation of morphological awareness to vocabulary, word reading, and reading comprehension for middle school students in Korea. A total of 121 students (73 boys and 48 girls) in Grade 7 from two middle schools in a metropolitan city in South Korea participated in the study. The students were assessed on the…
Descriptors: Foreign Countries, Middle School Students, Reading Comprehension, Word Recognition
Irene Campos-Sánchez; Eva María Navarrete-Muñoz; Dries S. Martens; Isolina Riaño-Galán; Aitana Lertxundi; Sabrina Llop; Mónica Guxens; Cristina Rodríguez-Dehli; Nerea Lertxundi; Raquel Soler-Blasco; Martine Vrijheid; Tim S. Nawrot; John Wright; Tiffany C. Yang; Rosie McEachan; Kristine Bjerve Gützkow; Vaia Lida Chatzi; Marina Vafeiadi; Mariza Kampouri; Regina Grazuleviciene; Sandra Andrusaityte; Johanna Lepeule; Desirée Valera-Gran – Journal of Attention Disorders, 2025
Objective: To explore the association between telomere length (TL) and attention deficit hyperactivity disorder (ADHD) symptoms in children at 6-12 years. Method: Data from 1,759 children belonging to the HELIX project cohorts and the Asturias, Gipuzkoa and Valencia cohorts of INMA project were included. TL was determined by blood sample using a…
Descriptors: Foreign Countries, Genetic Disorders, Attention Deficit Hyperactivity Disorder, Mothers
Bryan Keller; Zach Branson – Asia Pacific Education Review, 2024
Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…
Descriptors: Causal Models, Educational Research, Regression (Statistics), Probability
Lim, Sun Ah – Child & Youth Care Forum, 2023
Background: In recent years, the penetration rate of smartphones among Korean teenagers has increased, making it critical to clarify the influence of these devices on adolescents' lives. Objective: This study investigated the effects of smartphone dependence on peer relationships and life satisfaction among Korean adolescents. Methods: Using the…
Descriptors: Foreign Countries, Adolescents, Middle School Students, Addictive Behavior
Download full textXinxin Sun – Grantee Submission, 2023
Noncompliance to treatment assignment is widespread in randomized trials and presents challenges in causal inference. In the presence of noncompliance, the most commonly estimated effect of treatment assignment, also known as the intent-to-treat (ITT) effect, is biased. Of interest in this setting is the complier average causal effect (CACE), the…
Descriptors: Compliance (Psychology), Randomized Controlled Trials, Maximum Likelihood Statistics, Computation
Delphine Martinot; Ann Beaton; Birsen Gul – Social Psychology of Education: An International Journal, 2025
Correlational research has shown that experiencing personal relative deprivation is negatively related to adolescents' psychological health and school engagement. Two studies are designed to experimentally test the causal effect of personal versus collective relative deprivation in the classroom context on adolescents' self-esteem and school…
Descriptors: Causal Models, Disadvantaged Environment, Well Being, Adolescents
Patrick K. Kirkland; Claire Guang; Nicole M. McNeil – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Students with mature number sense make sense of numbers and operations, use reasoning to notice patterns, and flexibly select the most effective and efficient problem-solving strategies (McIntosh et al., 1997; Yang, 2005). Despite being highlighted in national standards and policy documents (CCSS, 2010; NCTM, 2000), the association between…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Youmi Suk – Journal of Educational and Behavioral Statistics, 2024
Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…
Descriptors: Artificial Intelligence, Causal Models, Statistical Inference, Maximum Likelihood Statistics
Bartolucci, Francesco; Pennoni, Fulvia; Vittadini, Giorgio – Journal of Educational and Behavioral Statistics, 2023
In order to evaluate the effect of a policy or treatment with pre- and post-treatment outcomes, we propose an approach based on a transition model, which may be applied with multivariate outcomes and accounts for unobserved heterogeneity. This model is based on potential versions of discrete latent variables representing the individual…
Descriptors: Causal Models, Multivariate Analysis, Markov Processes, Human Capital
Munshi, Anabil – ProQuest LLC, 2023
Self-regulated learning (SRL), which involves the regulation of cognitive, affective, metacognitive, and motivational processes, is an important construct for analyzing effective student learning in open-ended learning environments (OELEs). Novice K-12 students working on complex learning tasks in OELEs often engage in sub-optimal use of SRL…
Descriptors: Learning Strategies, Self Management, Educational Environment, Scaffolding (Teaching Technique)
Ali Muhdi; Suwito; Rahman Afandi; Yulian Purnama; Abd. Azis – Elementary School Forum (Mimbar Sekolah Dasar), 2024
The importance of the role of teachers as agents of change and understanding the relationship between the level of student independence and the quality of religious teachers in schools. However, in fact, there are differences between expectations and reality on the ground, religious education has decreased among students. So, it is necessary to…
Descriptors: Foreign Countries, Elementary School Teachers, Religious Education, Religious Schools
Rascle, Olivier; Marbac, Faustine; Higgins, Nancy C.; Le Foll, David; Charrier, Maxime; Cabagno, Geneviève – SAGE Open, 2021
The present field experiment investigated the effects of accurate and non-accurate performance feedback on causal attributions, success expectancy, performance, and persistence on a motor task. Forty-six male middle-schoolers were randomly assigned to a Contingent (accurate) feedback, Non-contingent (non-accurate) feedback, or Control (no…
Descriptors: Middle School Students, Academic Achievement, Student Motivation, Feedback (Response)
