networks to use the new IT system [17]. Informationalinfluence also draws from the theory of social learning in that the individual learns how to usenew systems from the experience of others, thus avoiding the opportunity costs of trying to learnon his or her own [9].Lewis et al. [18] identify three factors of individual beliefs for using a new IT system: 1)individual, 2) institutional, and 3) social norm, which, in turn, are related to either informationalor normative social influence. The individual factor includes computer self-efficacy that drawsfrom social cognitive theory in that the informational influence from watching others perform abehavior, impacts the individual into thinking that he or she can also successfully perform thatbehavior
hidden, such as our research on majority measurement bias in studies ofpersistence [47], Riley and Pawley’s [48] work critiquing myths of gender and race inengineering education, and Foor, Walden, and Trytten’s [49] ethnography of one female multi-minority student which provides “a microphone for the voices of the marginalized to be heard”(p. 113). The powerful lens of intersectionality contributes to the growing field of engineeringstudies, which considers how social categories (such as age, race/ethnicity, class, gender, abilityand sexual identity) are enacted in engineering [50]. Our other work on SVEs examined theintersection between first-generation, engineering, and military identities [51]. The current studyextends other research on the