This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…

In studies of educational achievement, students' self-reported number of books in the family home is a frequently used proxy for social, cultural, and economic background. Absent hard evidence about what this variable captures or how well, its use has been motivated by strong associations with student outcomes. I show that these associations rest…

To determine the impact of college experiences, it is critical to have measures of student learning and development that are valid, reliable, and affordable. Data on student outcomes are useful not only to institutions that want to assess their students' growth but also to external constituencies, such as federal and state governments, that demand…

Despite questions about their reliability and validity, student evaluations of teaching (SETs) are a primary measure of instructor performance. The current study examines SETs, including a thorough list of potentially relevant variables. The findings suggest that how much students perceive they learned in a course is an important predictor of SET…