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Cody Ding – Educational Psychology Review, 2024
In the article "It's Just an Observation," Robinson and Wainer (Educational Psychology Review 35, Robinson, D., & Wainer, H. (2023). It's just an observation. Educational Psychology Review, 35(83), Published online: 14 August, 2023) lamented that educational psychology is moving toward the dark side of the quality continuum, with…
Descriptors: Journal Articles, Educational Psychology, Quality Assurance, Barriers
Stephen Gorard; Beng H. See; Nadia Siddiqui – Sage Research Methods Cases, 2014
This case describes a current evaluation of an educational intervention to help disadvantaged children catch up in literacy at around the time they transfer to their senior school. The evaluation is based on a randomised controlled trial design, which the case explains is the most appropriate for testing or establishing a causal claim. The case…
Descriptors: Randomized Controlled Trials, Educational Research, Intervention, Observation
Rose, Roderick A. – ProQuest LLC, 2013
An important target of education policy is to improve overall teacher effectiveness using evidence-based policies. Randomized control trials (RCTs), which randomly assign study participants or groups of participants to treatment and control conditions, are not always practical or possible and observational studies using rigorous quasi-experimental…
Descriptors: Teacher Effectiveness, Causal Models, Inferences, Observation
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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
Li, Shao-Ying; Leon, Shian – Online Submission, 2013
The authors designed instruments from theories and literatures. Data were collected throughout remedial teaching processes and interviewed with vocational school students. By SOLO (structure of the observed learning outcome) taxonomy, the authors made the UMR (unistructural-multistructural-relational sequence) conception cycle of the formative and…
Descriptors: Student Attitudes, Vocational Schools, Problem Solving, Causal Models
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Williams, Joanna P.; Pollini, Simonne; Nubla-Kung, Abigail M.; Snyder, Anne E.; Garcia, Amaya; Ordynans, Jill G.; Atkins, J. Grant – Journal of Educational Psychology, 2014
This study evaluated the effectiveness of an intervention for second graders at risk for academic failure, which taught reading comprehension embedded in social studies content. The intervention included instruction about the structure of cause/effect expository text, emphasizing clue words, generic questions, graphic organizers, and close…
Descriptors: Reading Comprehension, Intervention, Elementary School Students, Grade 2
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Freedman, David A.; Berk, Richard A. – Evaluation Review, 2008
Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If…
Descriptors: Causal Models, Weighted Scores, Error of Measurement, Case Studies
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Sloman, Steven A.; Lagnado, David A. – Cognitive Science, 2005
A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines (1993; cf. Pearl, 2000). The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To…
Descriptors: Observation, Intervention, Causal Models, Prediction
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Lagnado, David A.; Sloman, Steven – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
Can people learn causal structure more effectively through intervention rather than observation? Four studies used a trial-based learning paradigm in which participants obtained probabilistic data about a causal chain through either observation or intervention and then selected the causal model most likely to have generated the data. Experiment 1…
Descriptors: Stimuli, Observation, Intervention, Causal Models