ArticleCBE life sciences education2021
A Unique and Scalable Model for Increasing Research Engagement, STEM Persistence, and Entry into Doctoral Programs.
Article in CBE life sciences education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Empowering Underrepresented Minority Students: a STEM-Focused Research Internship Program Bridging the Path to Graduate and Professional Success.Innovative higher education · 2025Article
- Ten simple rules for leading a successful undergraduate-intensive research lab.PLoS computational biology · 2024Article
- Highlighting the NIAID Radiation and Nuclear Countermeasures Program's Commitment to Training and Diversifying the Radiation Workforce.Radiation research · 2024Article
- Participation in a High-Structure General Chemistry Course Increases Student Sense of Belonging and Persistence to Organic Chemistry.Journal of chemical education · 2023Article
- The Report of the 2021-2022 AACP Research and Graduate Affairs Committee.American journal of pharmaceutical education · 2023Review
- Disparities in Remote Learning Faced by First-Generation and Underrepresented Minority Students during COVID-19: Insights and Opportunities from a Remote Research Experience.Journal of microbiology & biology education · 2021Article
- Increasing Diversity in Developmental Biology.Frontiers in sociology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Low persistence in science majors and limited participation in high-impact research experiences contribute to the nationwide underrepresentation of minorities in the science workforce, particularly jobs requiring a graduate degree. The Program for Excellence in Education and Research in the Sciences (PEERS) is an academic support program at the University of California, Los Angeles (UCLA) that supports first- and second-year science majors from underrepresented and underserved backgrounds to maximize student success and science, technology, engineering, and mathematics (STEM) persistence. Here, we evaluate the success of PEERS through data from the UCLA registrar, student surveys, and longitudinal tracking of student outcomes. Results show that PEERS students have significantly higher participation rates in undergraduate research, despite PEERS having no formal research component. Importantly, PEERS students were seven times as likely to enroll in PhD programs, and twice as likely to enroll in MD programs compared with propensity-matched controls. Combined results show that increased success of PEERS students in their first 2 years as science majors resulted in improved outcomes later in their undergraduate studies and had tangible impacts on subsequent educational trajectories that will increase participation of underrepresented groups in high-skill STEM careers.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.