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Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
Kitto, Richard J.; Barnett, John – American Journal of Evaluation, 2007
Despite the best of intentions, qualitative researchers can be faced, in some circumstances, with having to make meaning from thin, or less than optimal, data. Using a real study as context, the authors describe the ways that they made sense of their thin data on teachers' perceptions of a large-scale evaluation instrument. They propose a…
Descriptors: Sequential Approach, Qualitative Research, Data Interpretation, Electronic Mail

Troyna, Barry – Oxford Review of Education, 1995
Highlights issues and controversies concerning current race-related educational research. Contends that some critics believe research sacrifices empirical objectivity for political goals. Partisan research supporters respond that all research begins with untested assumptions and an acknowledgment of purpose does not signify a skewed methodology.…
Descriptors: Action Research, Bias, Data Interpretation, Educational Research