The potential of person-centered analyses to unlock a broader understanding of individual differences in learning

Abstract

Motivational theories like self-determination theory help to better understand academic functioning by distinguishing between different types of motivated behaviors. Person-centered analyses, a trending quantitative analytical method, help uncover natural clustering in motivation types among students, which can then be used to predict individual differences in outcomes. However, it is possible that the grouping that naturally occurs when using these analyses entails transformative theoretical implications, beyond a simple description of motivation patterns. Rather, person-centered analyses possibly expose parsimonious and authentic configurations of complex individual differences, in which motivational functioning represents only a subcomponent of a larger cognitive/affective architecture. Results of these analyses are often interpreted in a cursory manner, focusing on how their results align with a theory. A more thorough and humble interpretation of these results may uncover more accurate patterns of individual differences, informing targeted interventions to support learning. This proposition is illustrated with research rooted in self-determination theory.