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McNeish, Daniel – Review of Educational Research, 2017
In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…
Descriptors: Models, Statistical Analysis, Sampling, Sample Size

Dillin, J. T. – Review of Educational Research, 1984
A dozen schemes proposing to classify research questions are surveyed, analyzed, and applied to the understanding and practice of inquiry. The extent to which these schemes account for questions found in educational journals is estimated. Principles and issues are identified to stimulate work on the classification of research questions. (Author/BS)
Descriptors: Classification, Criteria, Educational Research, Research Design
Seidel, Tina; Shavelson, Richard J. – Review of Educational Research, 2007
This meta-analysis summarizes teaching effectiveness studies of the past decade and investigates the role of theory and research design in disentangling results. Compared to past analyses based on the process-product model, a framework based on cognitive models of teaching and learning proved useful in analyzing studies and accounting for…
Descriptors: Research Design, Theory Practice Relationship, Research Methodology, Effect Size

Dill, David D.; Friedman, Charles P. – Review of Educational Research, 1979
To facilitate research on the processes of innovation and change in higher education, a conceptual distinction is drawn between broad processes of organizational change and specific process of change and innovation. A typology of four research frameworks for innovation is presented and illustrated through exemplary studies. (Author/MH)
Descriptors: Classification, Educational Change, Educational Innovation, Educational Planning