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The purpose of this study is to examine doctoral students’ developmental trajectories in well-being and disciplinary identity during the first three years of doctoral study.

This study relies on data from a longitudinal study of PhD students enrolled at a large, research-intensive university in the USA. A group-based trajectory modeling approach is used to examine varying trajectories of well-being and disciplinary identity.

The authors find that students’ physical health, mental health and disciplinary identity generally decline during the first few years of doctoral study. Despite this common downward trend, the results suggest that six different developmental trajectories exist. Students’ backgrounds and levels of stress, psychological needs satisfaction, anticipatory socialization experiences and prior academic success predict group membership.

Although there is emergent evidence of a mental health crisis in graduate education scant evidence exists about the way in which well-being changes over time as students progress through their doctoral studies. There is also little evidence of how these changes might be related to academic processes such as the development of disciplinary identity. This study reported varying baseline degrees of well-being and disciplinary identity and offers that stress and unmet psychological needs might be partially responsible for varying trajectories.

Education researchers have been urged to utilize causal inference methods to estimate the policy effect more rigorously. While randomized controlled trials (RCTs) are the gold standard for assessing causality, RCTs are infeasible in some educational settings, particularly when ethical concerns or high cost are involved. Quasi-experimental research designs are the best alternative approach to study educational topics not amenable to RCTs, as they mimic experimental conditions and use statistical techniques to reduce bias from variables omitted in the empirical models. In this chapter, we introduce and discuss the core concepts, applicability, and limitations of three quasi-experimental methods in higher education research (i.e., difference-in-differences, instrumental variables, and regression discontinuity). By introducing each of these techniques, we aim to expand the higher education researcher's toolbox and encourage the use of these quasi-experimental methods to evaluate educational interventions.