Outcomes: Using Latent Profile Analysis to Identify Students at Risk for Degree

This study explored the utility of trait emotional intelligence (EI) for predicting students ’ uni-versity graduation outcomes six years after enrolment in university. At the start of the program, 1,015 newly registered students completed a brief multidimensional self-report EI assessment and provided consent to track their subsequent degree progress via official university records. Using latent profile analysis (LPA), participants were sorted into five classes that differed in the overall EI level and in the relative strengths and weaknesses on individual EI dimensions. Greater likelihood of degree noncompletion at the 6-year follow-up was uniquely associated with hav-ing a low-EI profile with particularly pronounced weaknesses in the interpersonal and stress management domains, after controlling for high school grades and gender. Comparative levels of predictive utility could not be achieved by examining scores on each EI dimension independently. Authors discuss practical advantages of LPA over traditional variable-centered approaches for identifying and assisting students at risk for degree noncompletion. Keywords emotional intelligence, post-secondary, graduation, latent profile analysi