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Contribution: This study shows that identification with engineering for engineering graduate students is positively and significantly predicted by engineering interest, competence, recognition, and interpersonal skills competence. Background: Prior studies of engineering identity on undergraduates identified several factors (e.g., engineering interest, engineering recognition) as positive predictors of identification of engineering. Engineering competence, achieved by participating in design projects, is a crucial part of students’ efforts to become more innovative engineers. Identity theory is used to understand undergraduates’ persistence in engineering, as students with stronger engineering identification are more likely to persist. More work is needed focusing on graduate students. Research Questions: Do engineering identity measurement frameworks studied for undergraduate students also apply to graduate students? Do they correlate with intention to complete the degree? What predicts the engineering identity of engineering Master's and doctoral students? Methodology: Interviews informed development and adaptation of a multi-scale survey instrument. Factor analyses identified four factors that relate to graduate engineering identity: engineering interest, engineering recognition, engineering competence, and interpersonal skills competence. Three sequential multiple linear regression models were used to predict engineering graduate students’ engineering identity. Findings: The final regression model, which includes student characteristics and the four factors resulting from Confirmatory Factor Analysis, predicts 60% of the variance in engineering identity—substantially more than similar undergraduate engineering identity models. All four factors were significant and positive predictors of graduate students’ engineering identity. The engineering recognition factor in particular needed adaptation to emphasize peers and faculty members over family, although family remained important. 

Contribution: This study explores the factors contributing to the development of engineering identity in Latinx students at two institutions. A better understanding of these factors will support the development of more inclusive engineering education environments and experiences. Background: Persistence of Latinx engineering students is of particular interest due to their underrepresentation in the field. Identity is a lens for understanding student persistence, but Latinx students are underrepresented in prior engineering identity studies. This study seeks to identify the unique factors, academic and professional, that contribute to engineering identity development, and potential means for supporting the persistence of Latinx engineers. Research Questions: (1) What academic and professional affect factors predict engineering identity development of Latinx students? and (2) What role does the institution play in Latinx students’ engineering identity development? Methodology: A mixed-methods approach was used to measure engineering identity based on a framework incorporating both academic and professional affect elements. Regression analyses were conducted on 892 responses to an online survey from Latinx engineering students, with additional insight from interviews with ten Latinx engineering students. Findings: Six of the nine factors analyzed (performance/competence, interest, recognition, analysis, framing and solving problems, and tinkering) were significant predictors of Latinx students' engineering identity, as were institution, gender, and having a parent with an engineering degree. Engineering identity was higher for Latinx students at the Hispanic Serving Institution, but none of the interaction terms were significant, so the relationship between these factors and engineering identity is similar at each institution.