A Retrospective Analysis of Career Outcomes in Neuroscience.

What factors are associated with career outcomes among biomedical PhDs? Research to date has focused on drivers of interest in (and intention to pursue) various careers, especially during graduate school, but fewer studies have investigated participants' ultimate career outcomes. Even less is known about what factors matter for groups historically underrepresented in the US science, technology, engineering, and mathematics (STEM) workforce, such as women, some racial and ethnic groups, and persons with disabilities ( National Center for Science and Engineering Statistics (NCSES), 2021a). This study reports a new analysis of data from 781 PhD neuroscientists that were obtained from a retrospective survey ( Ullrich et al., 2021) to investigate the factors that influence the career sector in which neuroscience PhDs are employed and whether there were group differences according to social identity. We find evidence of academia as a "default path" for incoming PhD students, but interest in different careers increases over time. Those who remained in academia had greater acceptance of the structural aspects of academic careers, such as promotion and tenure processes, and greater faculty support during postdoctoral training. Conversely, prioritizing monetary compensation and/or varied work were associated with not being in academia, while a strong interest in research was positively associated with being in nonacademic research. Somewhat surprisingly, there were few interactions with gender, and no interactions with underrepresentation status, although perhaps this was due to lower statistical power for these analyses. Our findings also underscore the role of advisors, networking, and personal relationships in securing employment in STEM.

Factors That Influence Career Choice among Different Populations of Neuroscience Trainees.

Specific groups have historically been, and continue to be, underrepresented in the biomedical research workforce, especially academia. Career choice is a multifactorial process that evolves over time; among all trainees, expressed interest in faculty research careers decreases over time in graduate school, but that trend is amplified in women and members of historically underrepresented racial and ethnic groups (Golde and Dore, 2004; Fuhrmann et al., 2011; Sauermann and Roach, 2012; Gibbs et al., 2014; Roach and Sauermann, 2017). This work was designed to investigate how career interest changes over time among recent neuroscience PhD graduates, and whether differences in career interests are associated with social identity, experiences in graduate school and postdoctoral training, and personal characteristics. We report results from a survey of 1479 PhD neuroscientists (including 16% underrepresented scientists and 54% women scientists). We saw repeated evidence that individual preferences about careers in general, and academic careers specifically, predict current career interest. These findings were moderated by social identity and experiences in graduate school and postdoctoral training. Our findings highlight the important influence of the advisor in shaping a trainee's career path, and the ways in which academic culture is perceived as unwelcoming or incongruent with the values or priorities of certain groups. They suggest several areas for positive growth, ways to change how we think about the impact of mentorship, and policy and programmatic interventions that extend beyond trying to change or "fix" the individual and instead recognize the systemic structures that influence career choices.

Longitudinal prediction of child outcomes from differing measures of parenting in a low-income sample.

This study examined predictions from preschool parenting measures to middle childhood cognitive and socioemotional child outcomes to explore whether parenting assessment methodologies that require more time, training, and expense yield better predictions of child outcomes than less intensive methodologies. Mother-child dyads (N = 278) in low-income African American families were assessed when the child was in preschool, using maternal report, the Home Observation for Measurement of the Environment-Short Form (P. Baker & F. Mott, 1989; R. Bradley & B. Caldwell, 1984), and structured observational measures of parenting. Child outcomes reported by children, mothers, teachers, and direct assessment were collected 4 years later. All parenting methodologies showed some predictive value; however, observational parenting measures showed the strongest and most consistent predictions of child outcomes.

Predictability of observed mother-child interaction from preschool to middle childhood in a high-risk sample.

This study examined predictability of observed parent-child interaction from preschool to middle childhood in 283 mother-child dyads. Participants were welfare recipients enrolled in the Observational Study of the Job Opportunities and Basic Skills Training Program. Structured observational sessions were conducted both at preschool age and middle childhood, and were coded for maternal social behavior, child social behavior, and dyadic interaction. Analyses explored direct relations between the assessments; relations between the assessments with possible third-variable influences, such as maternal literacy, covaried out; and moderated relations. Results indicated that observed mother-child interaction in middle childhood could be significantly predicted from observed interaction 4 years earlier. Risk status moderated the relations such that those families with greater risk factors tended to show more stability, although this stability was, at times, through maintaining suboptimal functioning.