To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous…

Background: Educational processes and outcomes are influenced by a multitude of factors, including individual and contextual characteristics. Recently, studies have demonstrated that student and context characteristics may produce unique and cumulative effects on educational outcomes. Aims: The study aimed to investigate (1) the relative…

The present study examined the extent to which the relationships between student self-reported math grades and different types of student variables (standardized math test scores, interest and effort in math, parental education) are predicted by classroom composition and teachers' classroom management. Based on a representative sample of 31,038…

Prior research has demonstrated that teachers' professional knowledge and motivation are strongly related to students' learning and motivation. Symptoms of teachers' stress and burnout (e.g., emotional exhaustion) are also thought to influence students' achievement, but no empirical study has tested this prediction. Using multilevel analyses and a…

Background: Chronotype refers to individuals' preference for morning or evening activities. Its two dimensions (morningness and eveningness) are related to a number of academic outcomes. Aims: The main goal of the study was to investigate the incremental validity of chronotype as a predictor of academic achievement after controlling for a number…