Various commissions and reports have called on colleges and universities to better prepare students for participation in a democratic society. A limit of such reports is that they often fail to consider how students might be categorized relative to their shared patterns of civic behaviors. Relying on alumni survey data from American College Testing (ACT), we employ latent class analysis (LCA) and identify four classes of college students that vary in their preferences for certain types of civic and noncivic activity. Implications for future research and the development of civic learning programs are discussed.

In the last few decades, many developing countries have dramatically expanded the number of government-sponsored fellowships for graduate studies abroad to increase their participation in the knowledge economy. To award these grants, these programs have typically relied on international university rankings as their main selection criterion. Existing studies suggest these fellowships have been disproportionally awarded to applicants from privileged social backgrounds, thus intensifying existing national educational inequalities. However, this evidence is mostly anecdotal and descriptive in nature. In this article, we focus on a Chilean fellowship program, an iconic example of these policies. Using a causal path analysis mediation model and relying on social reproduction and stratification theories, we investigated whether the distribution of fellowships varied across applicants from different socioeconomic backgrounds and how university rankings affect applicants’ chances of obtaining the fellowship. Our findings revealed that, in a context of high social inequalities and a stratified education system, using international rankings as an awarding criterion reinforced the position of privilege of individuals who accrued educational advantages in high school, as well as the disadvantages of those less fortunate who faced fewer prior educational opportunities.

Purpose: To determine whether students’ self-reported race/ethnicity and sex were associated with grades earned in 7 core clerkships. A person-centered approach was used to group students based on observed clerkship grade patterns. Predictors of group membership and predictive bias by race/ethnicity and sex were investigated. Method: Using data from 6 medical student cohorts at Johns Hopkins University School of Medicine (JHUSOM), latent class analysis was used to classify students based on clerkship grades. Multinomial logistic regression was employed to investigate if preclerkship measures and student demographic characteristics predicted clerkship performance-level groups. Marginal effects for United States Medical Licensing Exam (USMLE) Step 1 scores were obtained to assess the predictive validity of the test on group membership by race/ethnicity and sex. Predictive bias was examined by comparing multinomial logistic regression prediction errors across racial/ethnic groups. Results: Three clerkship performance-level groups emerged from the data: low, middle, and high. Significant predictors of group membership were race/ethnicity, sex, and USMLE Step 1 scores. Black or African American students were more likely (odds ratio [OR] = 4.26) to be low performers than White students. Black or African American (OR = 0.08) and Asian students (OR = 0.41) were less likely to be high performers than White students. Female students (OR = 2.51) were more likely to be high performers than male students. Patterns of prediction errors observed across racial/ethnic groups showed predictive bias when using USMLE Step 1 scores to predict clerkship performance-level groups. Conclusions: Disparities in clerkship grades associated with race/ethnicity were found among JHUSOM students, which persisted after controlling for USMLE Step 1 scores, sex, and other preclerkship performance measures. Differential predictive validity of USMLE Step 1 exam scores and systematic error predictions by race/ethnicity show predictive bias when using USMLE Step 1 scores to predict clerkship performance across racial/ethnic groups.