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Kaplan, Avi; Cromley, Jennifer; Perez, Tony; Dai, Ting; Mara, Kyle; Balsai, Michael – Educational Researcher, 2020
In this commentary, we complement other constructive critiques of educational randomized control trials (RCTs) by calling attention to the commonly ignored role of context in causal mechanisms undergirding educational phenomena. We argue that evidence for the central role of context in causal mechanisms challenges the assumption that RCT findings…
Descriptors: Context Effect, Educational Research, Randomized Controlled Trials, Causal Models
Kaplan, Avi; Cromley, Jennifer; Perez, Tony; Dai, Ting; Mara, Kyle; Balsai, Michael – Grantee Submission, 2020
In this commentary, we complement other constructive critiques of educational randomized control trials (RCTs) by calling attention to the commonly ignored role of context in causal mechanisms undergirding educational phenomena. We argue that evidence for the central role of context in causal mechanisms challenges the assumption that RCT findings…
Descriptors: Context Effect, Educational Research, Randomized Controlled Trials, Causal Models
Hitchcock, John H.; Kratochwill, Thomas R.; Chezan, Laura C. – Journal of Behavioral Education, 2015
A recent review of existing rubrics designed to help researchers evaluate the internal and external validity of single-case design (SCD) studies found that the various options yield consistent results when examining causal arguments. The authors of the review, however, noted considerable differences across the rubrics when addressing the…
Descriptors: Scoring Rubrics, Generalization, Research Methodology, Review (Reexamination)
Kemp, Charles; Shafto, Patrick; Tenenbaum, Joshua B. – Cognitive Psychology, 2012
Humans routinely make inductive generalizations about unobserved features of objects. Previous accounts of inductive reasoning often focus on inferences about a single object or feature: accounts of causal reasoning often focus on a single object with one or more unobserved features, and accounts of property induction often focus on a single…
Descriptors: Generalization, Logical Thinking, Inferences, Probability
Shadish, William R. – Psychological Methods, 2010
This article compares Donald Campbell's and Donald Rubin's work on causal inference in field settings on issues of epistemology, theories of cause and effect, methodology, statistics, generalization, and terminology. The two approaches are quite different but compatible, differing mostly in matters of bandwidth versus fidelity. Campbell's work…
Descriptors: Inferences, Generalization, Epistemology, Causal Models
Radford, Mike – Oxford Review of Education, 2008
The dominant discourse in research, management and teaching is one that may loosely be characterised as that of prediction and control. The objective of research is to identify causal correlations within policy, management, teaching strategies and educational outcomes that are sufficiently robust as to be able to predict outcomes and make…
Descriptors: Models, Educational Objectives, Outcomes of Education, Prediction

Cook, Thomas D. – New Directions for Program Evaluation, 1993
A practical theory is offered for probing external validity, the generalization of causal relationships. This alternative theory is built around five principles abstracted from research on construct validation. It emphasizes purposive sampling for theoretical ends rather than random sampling to represent a population. (SLD)
Descriptors: Causal Models, Construct Validity, Generalization, Research Methodology

Lipsey, Mark W. – New Directions for Program Evaluation, 1993
Explores the role of theory in strengthening causal interpretations in nonexperimental research. Evaluators must conduct theory-driven research, concentrating on "small theory," in that the focus is on the explanation of processes specific to the program being evaluated. Theory-guided treatment research must be programmatic and…
Descriptors: Causal Models, Effect Size, Evaluators, Generalization
Van Dooren, Wim; De Bock, Dirk; Depaepe, Fien; Janssens, Dirk; Verschaffel, Lieven – Educational Studies in Mathematics, 2003
Previous research has shown that--due to the extensive attention spent to proportional reasoning in mathematics education--many students have a strong tendency to apply linear or proportional models anywhere, even in situations where they are not applicable. This phenomenon is sometimes referred to as the "illusion of linearity". For example, in…
Descriptors: Misconceptions, Grade 10, Grade 12, Probability