Assessing the impact of learning environments: How to use student ratings of classroom or school characteristics in multilevel modeling

Abstract

In educational research, characteristics of the learning environment (e.g., social climate, instructional quality, goal orientation) are often assessed via student reports, and their associations with outcome variables such as school achievement or student motivation then tested. However, studying the effects of the learning environment presents a series of methodological challenges. This article discusses three crucial elements in research that uses student reports to gauge the impact of the learning environment on student outcomes. First, from a conceptual point of view, it is argued that ratings aggregated at the relevant level (e.g., class or school level), and not individual student ratings, are of primary interest in these studies. Second, the reliability of aggregated student ratings must be routinely assessed before these perceptions are related to outcome variables. Third, researchers conducting multilevel analyses need to make very clear which centering option was chosen for the predictor variables. This article shows that conclusions about the impact of learning environments can be substantially affected by the choice of a specific centering option for the individual student ratings.