ArticleNew directions for evaluation2022
Gauging treatment impact: The development of exposure variables in a large-scale evaluation study.
Article in New directions for evaluation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 4 citations in OpenAlex.
- Examining Undergraduates' Intentions to Pursue a Science Career: A Longitudinal Study of a National Biomedical Training Initiative.Education sciences · 2025Article
- Evaluating a National Biomedical Training Program Using QuantCrit: Revealing Disparities in Research Self-efficacy for Women of Color Undergraduates.CBE life sciences education · 2024Article
- BUILDing Engaged Mentors: Examining the Efficacy of BUILD-led Mentor Training.The chronicle of mentoring & coaching · 2024Article
- Article
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 at 1 institution in 1 country.
Funding
Abstract
While guidance on how to design rigorous evaluation studies abounds, prescriptive guidance on how to include critical process and context measures through the construction of exposure variables is lacking. Capturing nuanced intervention dosage information within a large-scale evaluation is particularly complex. The Building Infrastructure Leading to Diversity (BUILD) initiative is part of the Diversity Program Consortium, which is funded by the National Institutes of Health. It is designed to increase participation in biomedical research careers among individuals from underrepresented groups. This chapter articulates methods employed in defining BUILD student and faculty interventions, tracking nuanced participation in multiple programs and activities, and computing the intensity of exposure. Defining standardized exposure variables (beyond simple treatment group membership) is crucial for equity-focused impact evaluation. Both the process and resulting nuanced dosage variables can inform the design and implementation of large-scale, diversity training program, outcome-focused, evaluation studies.
Identifiers
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.