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Matthew Lira; Kal H. Holder; Stephanie M. Gardner – Advances in Physiology Education, 2024
In physiology education, students must learn to recognize and construct causal explanations. This challenges students, in part, because causal explanations in biology manifest in different varieties. Unlike other natural sciences, causal mechanisms in physiology support physiological functions and reflect biological adaptations. Therefore,…
Descriptors: Physiology, Causal Models, Biology, Knowledge Level
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Evren Erzen; Özkan Çikrikçi – British Journal of Guidance & Counselling, 2024
The aim of this research was to investigate the associations between attachment styles, mental well-being and psychological vulnerability. The sample comprised a total of 257 university students including 205 women (79.8%) and 52 men (20.2%). The ages of university students varied from 18 to 34 years [M[subscript age] = 21.37, SD = 2.13]. The…
Descriptors: Foreign Countries, College Students, Well Being, Mental Health
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Ha-Joon Chung; Guanglei Hong – Society for Research on Educational Effectiveness, 2024
Context: Prolonged disconnection from school and work represents major setbacks during the transition to adulthood and is a distinct feature of the developmental trajectories of many disadvantaged youths, especially those from a marginalized racial background (Hong and Chung 2022; Shanahan 2000). Differential schooling experiences are hypothesized…
Descriptors: Education Work Relationship, Racism, Disadvantaged, Student School Relationship
Blake H. Heller; Carly D. Robinson – Annenberg Institute for School Reform at Brown University, 2024
Quasi-experimental methods are a cornerstone of applied social science, providing critical answers to causal questions that inform policy and practice. Although open science principles have influenced experimental research norms across the social sciences, these practices are rarely implemented in quasi-experimental research. In this paper, we…
Descriptors: Social Science Research, Research Methodology, Quasiexperimental Design, Scientific Principles
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Elizabeth S. Park; Di Xu – Journal of Research on Educational Effectiveness, 2024
Growing literature documents the promise of active learning instruction in engaging students in college classrooms. Accordingly, faculty professional development (PD) programs on active learning have become increasingly popular in postsecondary institutions; yet, quantitative evidence on the effectiveness of these programs is limited. Using…
Descriptors: Active Learning, Learner Engagement, College Faculty, Faculty Development
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Thiem, Alrik – Sociological Methods & Research, 2022
Qualitative Comparative Analysis (QCA) is a relatively young method of causal inference that continues to diffuse across the social sciences. However, recent methodological research has found the conservative (QCA-CS) and the intermediate solution type (QCA-IS) of QCA to fail fundamental tests of correctness. Even under conditions otherwise ideal…
Descriptors: Comparative Analysis, Causal Models, Inferences, Risk
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Foster-Hanson, Emily; Leslie, Sarah-Jane; Rhodes, Marjorie – Cognitive Science, 2022
Generic language (e.g., "tigers have stripes") leads children to assume that the referenced category (e.g., tigers) is inductively informative and provides a causal explanation for the behavior of individual members. In two preregistered studies with 4- to 7-year-old children (N = 497), we considered the mechanisms underlying these…
Descriptors: Young Children, Error Correction, Beliefs, Classification
Adam C. Sales; Ethan Prihar; Johann Gagnon-Bartsch; Ashish Gurung; Neil T. Heffernan – Grantee Submission, 2022
Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…
Descriptors: Research Methodology, Educational Experiments, Causal Models, Computation
Vincent Dorie; George Perrett; Jennifer L. Hill; Benjamin Goodrich – Grantee Submission, 2022
A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well.…
Descriptors: Statistical Inference, Causal Models, Artificial Intelligence, Data Analysis
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Minju Kim; Adena Schachner – Developmental Science, 2025
Listening to music activates representations of movement and social agents. Why? We test whether causal reasoning plays a role, and find that from childhood, people can intuitively reason about how musical sounds were generated, inferring the events and agents that caused the sounds. In Experiment 1 (N = 120, pre-registered), 6-year-old children…
Descriptors: Causal Models, Abstract Reasoning, Thinking Skills, Music
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Shuangjin Liu; Qi Qi; Zihao Zeng; Yiqiu Hu – Child & Youth Care Forum, 2025
Background: A singular ecological risk factor did not accurately reflect the reality of adolescents' lives and could not fully elucidate the developmental mechanisms of adolescent suicidal ideation. The cumulative effect of multiple ecological risk factors (which may interact synergistically) could have provided a more comprehensive understanding…
Descriptors: Adolescents, Suicide, Quality of Life, Depression (Psychology)
Mahmoud M. S. Abdallah – Online Submission, 2025
This guide offers a comprehensive handbook to scientific research methodology and experimental design, specifically for novice MA and PhD researchers in Education and Language Learning (TESOL/TEFL). It establishes scientific research as a systematic, objective inquiry focused on identifying cause-and-effect relationships through empirical data.…
Descriptors: Scientific Research, Research Methodology, Research Design, Second Language Learning
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Pósch, Krisztián – Sociological Methods & Research, 2021
Complex social scientific theories are conventionally tested using linear structural equation modeling (SEM). However, the underlying assumptions of linear SEM often prove unrealistic, making the decomposition of direct and indirect effects problematic. Recent advancements in causal mediation analysis can help to address these shortcomings,…
Descriptors: Social Theories, Causal Models, Structural Equation Models, Statistical Analysis
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Hanisch, Susan; Eirdosh, Dustin – Science & Education, 2021
Teleological reasoning is viewed as a major hurdle to evolution education, and yet, eliciting, interpreting, and reflecting upon teleological language presents an arguably greater challenge to the evolution educator and researcher. This article argues that making explicit the role of behavior as a causal factor in the evolution of particular…
Descriptors: Science Instruction, Teaching Methods, Science Education, Evolution
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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
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