This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…

Physics education researchers (PER) often analyze student data with single-level regression models (e.g., linear and logistic regression). However, education datasets can have hierarchical structures, such as students nested within courses, that single-level models fail to account for. The improper use of single-level models to analyze…

Hierarchical linear modeling (HLM) has become increasingly popular in the higher education literature, but there is significant variability in the current approaches to the conducting and reporting of HLM. The field currently lacks a general consensus around important issues such as the number of levels of analysis that are important to include…

Clustered data (e.g., students within schools) are often analyzed in educational research where data are naturally nested. As a consequence, multilevel modeling (MLM) has commonly been used to study the contextual or group-level (e.g., school) effects on individual outcomes. The current study investigates the use of an alternative procedure to…

Research on diversity in higher education has evolved to consider the nature of interracial contact and campus climate as well as the factors that may foster meaningful interactions. While some studies have explored predictors of cross-racial interaction (CRI) and interracial friendship (IRF), it remains unclear whether and how the same precollege…

Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…

The education of doctoral chemists contributes to the chemical research enterprise and thus to innovation as an engine of the economy. This quantitative analysis describes trends in the production and diversity of chemistry Ph.D. degrees in the top-50 U.S. Ph.D.-granting departments in the past two decades. Time series data for individual…