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Cohausz, Lea – Journal of Educational Data Mining, 2022
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…
Descriptors: Guidelines, Academic Achievement, Dropouts, Prediction
Edwards, Lynn Marie – ProQuest LLC, 2016
The purpose of the current study was to use a conceptual model to identify possible causal mechanisms at play in the phrase drill (PD) intervention. The study was carried out by isolating and investigating modeling and sentence repetition, which are two specific instructional components that are typically used in PD, by creating instructional…
Descriptors: Oral Reading, Drills (Practice), Reading Instruction, Sentences
Porter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Robinson-Cimpian, Joseph P. – MDRC, 2014
A valuable extension of the single-rating regression discontinuity design (RDD) is a multiple-rating RDD (MRRDD). To date, four main methods have been used to estimate average treatment effects at the multiple treatment frontiers of an MRRDD: the "surface" method, the "frontier" method, the "binding-score" method, and…
Descriptors: Regression (Statistics), Research Design, Quasiexperimental Design, Research Methodology
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Rottman, Benjamin M.; Keil, Frank C. – Cognitive Psychology, 2012
Seven studies examined how people learn causal relationships in scenarios when the variables are temporally dependent--the states of variables are stable over time. When people intervene on X, and Y subsequently changes state compared to before the intervention, people infer that X influences Y. This strategy allows people to learn causal…
Descriptors: Reaction Time, Causal Models, Prediction, Observation