Evaluation of college instructors often centers on course ratings; however, there is little evidence that these ratings only reflect teaching. The purpose of this study was to assess the relative importance of three facets of course ratings: instructor, course and occasion. We sampled 2,459 fully-crossed dyads from a large university where two…

Researchers seeking to make valid conclusions about engagement for young children with autism spectrum disorder (ASD) must first determine the reliability of estimates obtained across the conditions sampled. Working from that premise, we conducted a secondary data analysis of shared book readings between caregivers and their children with ASD,…

This paper argues that the consideration of educational disadvantage should go beyond the micro-scale contextual level of individual students, and explore eventual connections with hybrid forms of disadvantage in the social field. The paper draws on the capability approach and the concept of dwelling to introduce dwelling in time as functioning.…

In multilevel modeling, group-level variables (L2) for assessing contextual effects are frequently generated by aggregating variables from a lower level (L1). A major problem of contextual analyses in the social sciences is that there is no error-free measurement of constructs. In the present article, 2 types of error occurring in multilevel data…

In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g., group-average effects of socioeconomic status, achievement, climate). Most previous applications have used a multilevel manifest covariate (MMC) approach,…