Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.09.19.752913

Advancing the Conceptualization and Measurement of Mentorship: The Mentoring Experiences in Research & Graduate Education (MERGE) Scale

Abstract

Interest in mentoring remains widespread within the scientific community, as mentorship is considered crucial to developing the scientific workforce. A longstanding focus on the positive aspects of mentorship obscures the reality that some mentoring relationships may be ineffective, counterproductive, or harmful. Progress has been limited by the absence of a scale capable of measuring both the positive and negative mentoring experiences of doctoral students. We addressed this need by developing a new scale: the Mentoring Experiences in Research and Graduate Education (MERGE). Results of three sequential multi-method studies (total N = 1,308) provide evidence for: (a) the content and response process validity of the MERGE; (b) a six-factor structure capturing the range of mentoring experiences; (c) negative mentoring experiences as empirically distinct from the absence of positive mentoring; (d) convergent, discriminant and criterion-related validity of the MERGE, with each factor demonstrating unique patterns of association with outcomes; and (e) the incremental validity of the MERGE in predicting outcomes beyond an existing measure of mentoring competence. We conclude by discussing implications for the use of the scale in doctoral education, including both theory advancement and applied practice.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Tuma, T., Robertson, M. E., Dolan, E. L.. 2026-09-22. Advancing the Conceptualization and Measurement of Mentorship: The Mentoring Experiences in Research & Graduate Education (MERGE) Scale. https://doi.org/10.64898/2026.09.19.752913

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Internal Grant Review: A Pre-Submission Program for Early-Career Clinical and Translational Researchers

The iTHRIV Scholars Mentored Career Development Program initiated an Internal Grant Review (IGR) program in 2020 for current and recently graduated Scholars seeking funding through K and R awards from the NIH. The IGR program is designed to replicate the NIH review process and provide Scholars the opportunity to receive valuable feedback on their applications prior to NIH submission. A key characteristic of the program is the integration of REDCap, enabling automation and year-round offering while improving tracking and reporting efforts and capabilities. Results of the program have been overall positive, both in proposal development and participant feedback. IGR is a sustainable, valuable resource for early-career faculty competing for limited resources in the pursuit to become independently funded clinical translational scientists.

scientific communication and education↗

Multi-Lab Testing of Early Preclinical Discoveries Identifies Promising Treatments

A fundamental challenge in drug development is the frequent failure of early laboratory research to translate into clinical benefit. One promising solution is to confirm findings from exploratory single-laboratory studies across multiple laboratories before clinical testing. We investigated this approach following the conduct of preclinical multi-laboratory studies across different fields of medicine. For this, we evaluated effect sizes, experimental rigor, and a set of criteria to identify determinants of confirmation success. When tested under increased rigor, only a fraction of multi-laboratory studies confirmed the initial results. The underlying effect size reduction was associated with outcome-relevant experimental differences between exploratory and confirmatory stages. In summary, multi-laboratory studies proved highly informative and served as an effective filter for promising treatments.

scientific communication and education↗

Technology-enhanced learning in undergraduate neuroscience education: tractography-based virtual dissection in psychology

Background: Neuroanatomy poses a significant challenge for Psychology students due to its spatial and conceptual complexity. Educational approaches that enhance the relevance and visualization of neuroanatomical content may improve students learning experiences. This study implemented a tractography-based activity focused on the virtual dissection of the arcuate fasciculus, a major white matter pathway, in undergraduate Psychology students and examined the relationships between perceived learning and students perceptions of utility, difficulty and handling, and organizational aspects of the activity. Methods: First-year undergraduate Psychology students participated in a two-session tractography-based activity combining instruction on white matter anatomy and diffusion tractography with a hands-on virtual dissection of the arcuate fasciculus using research-grade software routinely employed in neuroscience research. Following the activity, students completed an anonymous questionnaire assessing perceived learning, utility, difficulty and handling, and organizational aspects of the activity. Pearson correlations, multiple regression analyses, and relative importance analyses were performed. Results: Sixty-eight students completed the questionnaire. Students reported generally positive perceptions of the activity across the evaluated dimensions, with perceived learning receiving the highest mean score (M = 3.44, SD = .85). Perceived utility showed the strongest association with perceived learning (r = .64, p < .001). The regression model explained 41% of the variance in perceived learning (R2 = .41, adjusted R2 = .38, p < .001). Perceived utility was the only significant predictor in the model ({beta} = .59, p = .001), accounting for 67.9% of the explained variance. Conclusions: The findings support the feasibility of integrating authentic neuroimaging tools into undergraduate neuroanatomy teaching. Students who perceived the activity as more useful also reported higher perceived learning outcomes, with perceived utility emerging as the strongest predictor of perceived learning. In contrast, perceived difficulty and handling, and organizational aspects did not make significant independent contributions. These results suggest that students perceptions of educational relevance may play an important role in technology-enhanced STEM learning experiences.

scientific communication and education↗