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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Seifert, Colleen M.; Harrington, Michael; Michal, Audrey L.; Shah, Priti – Grantee Submission, 2022
When reasoning about science studies, people often make "causal theory errors" by inferring or accepting a causal claim based on correlational evidence. While humans naturally think in terms of causal relationships, reasoning about science findings requires understanding how evidence supports--or fails to support--a causal claim. This…
Descriptors: College Students, Comprehension, Attribution Theory, Logical Thinking
Fansher, Madison; Adkins, Tyler J.; Shah, Priti – Grantee Submission, 2022
Media articles often communicate the latest scientific findings, and readers must evaluate the evidence and consider its potential implications. Prior work has found that the inclusion of graphs makes messages about scientific data more persuasive (Tal & Wansink, 2016). One explanation for this finding is that such visualizations evoke the…
Descriptors: Graphs, Correlation, Visual Aids, News Reporting
Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Grantee Submission, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Teaching Methods, Attribution Theory, Undergraduate Students
Xu Qin; Fan Yang – Grantee Submission, 2022
Causal inference regarding a hypothesized mediation mechanism relies on the assumptions that there are no omitted pretreatment confounders (i.e., confounders preceding the treatment) of the treatment-mediator, treatment-outcome, and mediator-outcome relationships, and there are no posttreatment confounders (i.e., confounders affected by the…
Descriptors: Simulation, Correlation, Inferences, Attribution Theory
Cromley, J. G.; Ma, S.; Van Boekel, M.; Dane, N. – Grantee Submission, 2020
When reading scientific text, readers must draw inferences when the author does not make relations explicit; readers also need to pick up on causal relations that the author "does" make explicit. We collected think-aloud protocols from 86 undergraduate biology students reading 7 brief, illustrated passages about the immune system. After…
Descriptors: Inferences, Protocol Analysis, Undergraduate Students, Attribution Theory
Hui Li; Sierra Eisen; Angeline S. Lillard – Grantee Submission, 2019
Children's media is replete with human-like portrayals of animals and objects that wear clothing, speak, drive cars, and experience human emotions. Recent research has shown that anthropomorphic portrayals of animals in books lead children to think anthropomorphically about real animals. Here we asked whether this is also the case for an inanimate…
Descriptors: Thinking Skills, Mass Media, Animals, Childrens Literature
Shannon Nemer McCullough; Kristen L. Granger; Kevin S. Sutherland; Maureen A. Conroy; Toshna Pandey – Grantee Submission, 2021
Student problem behaviors in early elementary school have been associated with increased teacher burnout, negative emotions, and stress, along with negative student outcomes, including increased risk of emotional and behavioral disorders (EBDs). This study examined the impact of BEST in CLASS--Elementary (BEST in CLASS-E), a teacher-delivered Tier…
Descriptors: Self Efficacy, Teacher Burnout, Elementary School Teachers, Intervention
Forastiere, Laura; Mattei, Alessandra; Ding, Peng – Grantee Submission, 2018
In causal mediation analysis, the definitions of the natural direct and indirect effects involve potential outcomes that can never be observed, so-called a priori counterfactuals. This conceptual challenge translates into issues in identification, which requires strong and often unverifiable assumptions, including sequential ignorability.…
Descriptors: Identification, Attribution Theory, Guidelines, Comparative Analysis
Lynn S. Fuchs; Douglas Fuchs; Sonya K. Sterba; Marcia A. Barnes; Pamela M. Seethaler; Paul Changas – Grantee Submission, 2022
This study's purpose was to investigate effects of 3 intervention approaches for building working memory (WM) and improving word-problem solving (WPS). Children with mathematics difficulties (n = 240; 7.51 years [SD = 0.33]) were randomized to 4 conditions: a control group, general WM training with contiguous math practice, WPS intervention…
Descriptors: Problem Solving, Short Term Memory, Intervention, Mathematics Instruction
Peng Ding; Fan Li – Grantee Submission, 2018
Inferring causal effects of treatments is a central goal in many disciplines. The potential outcomes framework is a main statistical approach to causal inference, in which a causal effect is defined as a comparison of the potential outcomes of the same units under different treatment conditions. Because for each unit at most one of the potential…
Descriptors: Attribution Theory, Causal Models, Statistical Inference, Research Problems
Meghan E. Clifford; Amanda J. Nguyen; Catherine P. Bradshaw – Grantee Submission, 2021
Social-emotional factors associated with youth aggression have largely been studied in the context of social information-processing models. The ability to accurately encode and appropriately interpret others' emotions has yet to be fully examined in the context of aggressive behavior, particularly during adolescence. Using cross-sectional data…
Descriptors: Self Control, Aggression, Theory of Mind, Social Cognition
Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…
Descriptors: Prediction, Observation, Reading Comprehension, Correlation
Martorell, Paco; Mariano, Louis T. – Grantee Submission, 2017
This study examines the impact of grade retention on behavioral outcomes under a comprehensive assessment-based student promotion policy in New York City. To isolate the causal effect of grade retention, we implement a fuzzy regression discontinuity (RD) design that exploits that grade retention is largely determined by whether a student scores…
Descriptors: Grade Repetition, Educational Policy, Attendance, Cutting Scores
Mark J. Chin – Grantee Submission, 2020
English learners' (ELs) day-to-day experiences in school change when reclassified as fully English proficient. Prior research, however, is mixed on how reclassification influences outcomes. Many studies also do not or cannot explore key long-term outcomes or identify impacts over time. In this study I leverage longitudinal student data in a…
Descriptors: English Learners, English (Second Language), Second Language Learning, Classification
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