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.

The measurement of student learning is becoming increasingly important in U.S. higher education. One way to measure learning is through longitudinal testing, but this becomes especially difficult when applied to cumulative learning within programs in situations of low persistence. In particular, many Hispanic Serving Institutions (HSIs) find…

Correlations between self-reported learning gains and direct, longitudinal measures that ostensibly correspond in content area are generally inadequate. This chapter clarifies that self-reported measures of learning are more properly used and interpreted as evidence of students' perceived learning and affective outcomes. In this context, the…

The weightings of the four component indicators of the UNDP's Human Development Index HDI appear to be arbitrary and have not been given justification. This paper develops a variant of the HDI, calculated to reflect peoples' revealed evaluations of education and the productivity of work. The resulting Calibrated human Development Index CDI has a…

Documenting treatment integrity is an important issue in research and practice in any discipline concerned with prevention and intervention. However, consensus concerning the dimensions of treatment integrity and how they should be measured has yet to emerge. Advances from three areas in which significant treatment integrity work has taken…