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.

Selection bias pervades the evaluation of supplemental instruction (SI) in non-experimental settings. This brief note provides a formal framework to understand this issue. The objective is to contribute to the accumulation of credible evidence on the impact of SI.

This paper is meant to highlight the occurrence of Simpson's Paradox when using aggregated data obtained from two IEA studies in Israel, while ignoring the effect of a powerful intervening variable in the local context--the ethnicity factor. It will demonstrate faulty conclusions regarding either the absence of relationships between a contextual…

After months of waiting, the grant reviews came back: "excellent," "excellent," and "fair." What?! How can this be? Why is the third review so out of line with the first two? On more than one occasion a principal investigator (PI) has been frustrated not only by a negative funding decision but more so by the accompanying reviewer evaluation forms…

The Individuals with Disabilities Education Improvement Act of 2004 allows schools to use a child's response to research-based intervention (RTI) as a part of procedures to identify students with learning disabilities. This paper considers whether RTI-based assessment models meet ethical and legal standards for acceptable assessment practices.…

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…