Dismantling Invisibility in Multiracial College Students

This study was designed to test Tinto's theory of college student integration by measuring the social and academic integration of multiracial students. Policymakers and public interest have increased pressure on higher education institutions to address low degree completion rates among historically underrepresented racial minority students, leading to a targeted shift to assess and address factors that facilitate or hinder minority college student persistence. The participants for the current study consisted of a convenience sample of college students (n=173) classified as seniors at a mid-sized public four-year institution in Texas. The researcher collected pertinent demographic data and used the Institutional Integration Scale-Revised (IIS-R) to measure social and academic integration. The results of the analyses suggested a statistically significant correlation between being multiracial and social integration, but no significant correlation between being multiracial and academic integration.

Early Declaration of a College Major and Its Relationship to Persistence

As college completion rates are a top priority for institutions and other stakeholders, understanding college student persistence is important. Some perceive students making an early decision about a major as necessary for success in college, arguing that enrolling as undeclared contributes to student attrition. Previous research about undeclared students and persistence, however, is limited, conflicting, and dated. For this longitudinal study, logistic regression analyses were conducted using institutional records for 4,489 first-time in college, full-time enrolled students from the Fall 2010 cohort at a large research university in the Western United States. The results show no difference in persistence between students who matriculate as declared versus undeclared majors, which has implications for advising practice.

Dismantling Invisibility in Multiracial College Students

This study was designed to test Tinto's theory of college student integration by measuring the social and academic integration of multiracial students. Policymakers and public interest have increased pressure on higher education institutions to address low degree completion rates among historically underrepresented racial minority students, leading to a targeted shift to assess and address factors that facilitate or hinder minority college student persistence. The participants for the current study consisted of a convenience sample of college students (n=173) classified as seniors at a mid-sized public four-year institution in Texas. The researcher collected pertinent demographic data and used the Institutional Integration Scale-Revised (IIS-R) to measure social and academic integration. The results of the analyses suggested a statistically significant correlation between being multiracial and social integration, but no significant correlation between being multiracial and academic integration.

Commitment in College Student Persistence

This investigation theoretically extended Tinto’s model of student persistence by drawing on interpersonal communication research to elaborate on the role of commitment in student persistence. College student departure literature was reviewed and critiqued concerning the conceptualization and measurement of commitment within the interactionalist model of student persistence. Rusbult’s investment model was used as an exploratory theoretical frame for understanding commitment between students and institutions. Self-report measures of commitment and investment model predictors for students in higher education were included. Support was found for hypotheses using the investment model as a frame for understanding how both students’ commitment and perceptions of their institution’s commitment are relevant in understanding persistence in the higher education setting.

A Measure of College Student Persistence in the Sciences (PITS)

Curricular changes that promote undergraduate persistence in science, technology, engineering, and mathematics (STEM) disciplines are likely associated with particular student psychological outcomes, and tools are needed that effectively assess these developments. Here, we describe the theoretical basis, psychometric properties, and predictive abilities of the Persistence in the Sciences (PITS) assessment survey designed to measure these in course-based research experiences (CREs). The survey is constructed from existing psychological assessment instruments, incorporating a six-factor structure consisting of project ownership (emotion and content), self-efficacy, science identity, scientific community values, and networking, and is supported by a partial confirmatory factor analysis. The survey has strong internal consistency (Cronbach’s alpha: α = 0.96) and was validated using standard simple and multiple regression analyses. The regression analyses demonstrated that the factors of the PITS survey were significant predictors of the intent to become a research scientist and, as such, potentially valid for the measurement of persistence in the sciences. The PITS survey provides an effective method for measuring the psychological outcomes of undergraduate research experiences relevant to persistence in STEM and offers an approach to the development and validation of more sophisticated assessment tools that recognize the specificities of the type of educational opportunities embedded in a CRE.