Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and…

A defining characteristic of mixed methods research, integration receives considerable attention in the field, yet evidence suggests that the process of integration may be challenging in practice. Crossover analyses, in which methods typically used with one data type are applied to a different data type, can deepen integration. Using an example…

Mixed methods-grounded theory (MM-GT) has emerged as a promising methodology that intersects the value of mixed methods with rigorous qualitative design. However, recent reviews have found that MM-GT empirical studies tend to lack procedural details. The purpose of this article is to apply the "best practices" for conducting MM-GT in a…