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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

Kambi, Alan G. – Language, Speech, and Hearing Services in Schools, 1993
This commentary on the mismeasurement of language and reading comprehension abilities argues that quantitative measures of complex behaviors and subsequent ranking of individual performance often do not accurately reflect the abstract constructs they purport to measure, and inappropriate quantification and ranking create and perpetuate potentially…
Descriptors: Elementary Secondary Education, Evaluation Criteria, Evaluation Methods, Evaluation Problems