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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
Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Adjei, Seth A.; Botelho, Anthony F.; Heffernan, Neil T. – Grantee Submission, 2016
Prerequisite skill structures have been closely studied in past years leading to many data-intensive methods aimed at refining such structures. While many of these proposed methods have yielded success, defining and refining hierarchies of skill relationships are often difficult tasks. The relationship between skills in a graph could either be…
Descriptors: Prediction, Learning Analytics, Attribution Theory, Prerequisites
Brasfield, Jon; Baenen, Nancy – Wake County Public School System, 2011
Courses in the arts develop skills specific to the discipline. Research also suggests that the arts contribute to enhanced attentiveness, engagement in school, communication skills, and critical and divergent thinking. Other studies point out benefits for at-risk students in reducing negative outcomes such as dropout and crime rates. Studies…
Descriptors: Art Education, Learner Engagement, Communication Skills, Critical Thinking
Ellett, Frederick S., Jr.; Ericson, David P. – 1982
Correlation-based approaches to causal analysis contain too much irrelevant information that masks and modulates the true nature of causal processes in the world. Both causal modeling and path analysis/structural equations give the wrong answers for certain conceptions of causation, given certain assumptions about the "error" variables.…
Descriptors: Attribution Theory, Correlation, Evaluation Methods, Models
Catena, Andres; Perales, Jose C.; Maldonado, Antonio – Psicologica: International Journal of Methodology and Experimental Psychology, 2004
The frequency of judgment effect is a special case of Response Mode effect in human covariation and causal learning. Judgment adjustment -to [Delta]P-, depends on the trial type preceding that judgment, but that effect is restricted to situations in which participants are asked to make their judgments with a high frequency. Two experiments further…
Descriptors: Academic Achievement, Attribution Theory, Causal Models, Environmental Influences