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Bridging the Gap Between Research and Practice: Predicting What Will Work Locally
by
Joyce, Kathryn E.
, Cartwright, Nancy
in
Ascription
/ Causal Models
/ Causality
/ Clinical trials
/ Education policy
/ Educational Policy
/ Educational Research
/ Evidence Based Practice
/ Evidence based research
/ Intervention
/ Medical research
/ Partnerships in Education
/ Prediction
/ Predictions
/ Program Effectiveness
/ Randomized Controlled Trials
/ Research Methodology
/ Research Problems
/ Researchers
/ Theory Practice Relationship
2020
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Bridging the Gap Between Research and Practice: Predicting What Will Work Locally
by
Joyce, Kathryn E.
, Cartwright, Nancy
in
Ascription
/ Causal Models
/ Causality
/ Clinical trials
/ Education policy
/ Educational Policy
/ Educational Research
/ Evidence Based Practice
/ Evidence based research
/ Intervention
/ Medical research
/ Partnerships in Education
/ Prediction
/ Predictions
/ Program Effectiveness
/ Randomized Controlled Trials
/ Research Methodology
/ Research Problems
/ Researchers
/ Theory Practice Relationship
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Bridging the Gap Between Research and Practice: Predicting What Will Work Locally
by
Joyce, Kathryn E.
, Cartwright, Nancy
in
Ascription
/ Causal Models
/ Causality
/ Clinical trials
/ Education policy
/ Educational Policy
/ Educational Research
/ Evidence Based Practice
/ Evidence based research
/ Intervention
/ Medical research
/ Partnerships in Education
/ Prediction
/ Predictions
/ Program Effectiveness
/ Randomized Controlled Trials
/ Research Methodology
/ Research Problems
/ Researchers
/ Theory Practice Relationship
2020
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Bridging the Gap Between Research and Practice: Predicting What Will Work Locally
Journal Article
Bridging the Gap Between Research and Practice: Predicting What Will Work Locally
2020
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Overview
This article addresses the gap between what works in research and what works in practice. Currently, research in evidence-based education policy and practice focuses on randomized controlled trials. These can support causal ascriptions (“It worked”) but provide little basis for local effectiveness predictions (“It will work here”), which are what matter for practice. We argue that moving from ascription to prediction by way of causal generalization (“It works”) is unrealistic and urge focusing research efforts directly on how to build local effectiveness predictions. We outline various kinds of information that can improve predictions and encourage using methods better equipped for acquiring that information. We compare our proposal with others advocating a better mix of methods, like implementation science, improvement science, and practice-based evidence.
Publisher
SAGE Publications,American Educational Research Association
Subject
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