Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Bias in physics peer recognition does not explain gaps in perceived peer recognition

Abstract

Gaining recognition as a physics person by peers is an important contributor to undergraduate students’ physics identity and their success in physics courses. Previous research has separately demonstrated that women perceive less recognition from peers than men in their physics courses (perceived peer recognition) and that women receive fewer nominations from their peers for being strong in their physics course than men (received peer recognition). The relation between perceived and received peer recognition for men and women, however, is not well understood. Here we test three plausible models for this relation and find that, for students receiving the same amount of recognition from peers as measured from private nominations on a survey, women report significantly lower perceived peer recognition than men. We did this by conducting a quantitative study of over 1,700 students enrolled in introductory physics courses at eight institutions in the United States. We directly compare student gender, perceived peer recognition and received peer recognition, controlling for race and ethnicity, academic year and major, and course-level variability. These findings offer important implications for testable instructional interventions.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Possible quantitative relations between student gender, perceived peer recognition and received peer recognition.
Fig. 2: Men report higher perceptions of their peer recognition than women after controlling for received peer recognition and other demographic variables.

Similar content being viewed by others

Data availability

All de-identified data used in this study can be found at https://github.com/msundstrom33/Perceived_vs_Received_Recognition. Source data are provided with this paper.

Code availability

Analysis scripts for this study can be found at https://github.com/msundstrom33/Perceived_vs_Received_Recognition.

References

  1. Clark Blickenstaff, J. Women and science careers: leaky pipeline or gender filter? Gend. Educ. 17, 369–386 (2005).

    Article  Google Scholar 

  2. Sax, L. J., Lehman, K. J., Barthelemy, R. S. & Lim, G. Women in physics: a comparison to science, technology, engineering, and math education over four decades. Phys. Rev. Phys. Educ. Res. 12, 020108 (2016).

    Article  Google Scholar 

  3. Porter, A. M. & Ivie, R. Women in Physics and Astronomy, 2019 (AIP, 2019).

  4. Merner, L. & Tyler, J. African-American participation among bachelors in the physical sciences and engineering. Change 3, 13 (2015).

    Google Scholar 

  5. Tilghman, S. et al. Concrete steps to diversify the scientific workforce. Science 372, 133–135 (2021).

    Article  ADS  Google Scholar 

  6. Powell, K. These labs are remarkably diverse–here’s why they’re winning at science. Nature 558, 19–22 (2018).

    Article  ADS  Google Scholar 

  7. Cochran, G. L. et al. Racial equity in physics education research. Nat. Phys. 20, 336–338 (2024).

    Article  Google Scholar 

  8. Lock, R. M., Hazari, Z. & Potvin, G. Physics career intentions: the effect of physics identity, math identity, and gender. AIP Conf. Proc. 1513, 262–265 (2013).

  9. Kalender, Z. Y., Marshman, E., Schunn, C. D., Nokes-Malach, T. J. & Singh, C. Why female science, technology, engineering, and mathematics majors do not identify with physics: they do not think others see them that way. Phys. Rev. Phys. Educ. Res. 15, 020148 (2019).

    Article  Google Scholar 

  10. Kalender, Z. Y., Marshman, E., Schunn, C. D., Nokes-Malach, T. J. & Singh, C. Gendered patterns in the construction of physics identity from motivational factors. Phys. Rev. Phys. Educ. Res. 15, 020119 (2019).

    Article  Google Scholar 

  11. Hazari, Z., Sadler, P. M. & Sonnert, G. The science identity of college students: exploring the intersection of gender, race, and ethnicity. J. Coll. Sci. Teach. 42, 82–91 (2013).

    Google Scholar 

  12. Bottomley, E., Kohnle, A., Mavor, K., Miles, P. J. & Wild, V. The relationship between gender and academic performance in undergraduate physics students: the role of physics identity, perceived recognition, and self-efficacy. Eur. J. Phys. 44, 025701 (2022).

    Article  Google Scholar 

  13. Grunspan, D. Z. et al. Males under-estimate academic performance of their female peers in undergraduate biology classrooms. PLoS ONE 11, e0148405 (2016).

    Article  Google Scholar 

  14. Salehi, S., Holmes, N. G. & Wieman, C. Exploring bias in mechanical engineering students’ perceptions of classmates. PLoS ONE 14, e0212477 (2019).

    Article  Google Scholar 

  15. Bloodhart, B., Balgopal, M. M., Casper, A. A., Sample McMeeking, L. B. & Fischer, E. V. Outperforming yet undervalued: undergraduate women in STEM. PLoS ONE 15, e0234685 (2020).

    Article  Google Scholar 

  16. Sundstrom, M., Heim, A. B., Park, B. & Holmes, N. G. Introductory physics students’ recognition of strong peers: gender and racial or ethnic bias differ by course level and context. Phys. Rev. Phys. Educ. Res. 18, 020148 (2022).

    Article  Google Scholar 

  17. Sundstrom, M., Simpfendoerfer, L. N., Tan, A., Heim, A. B. & Holmes, N. G. Who and what gets recognized in peer recognition. Phys. Rev. Phys. Educ. Res. 20, 010127 (2024).

    Article  Google Scholar 

  18. Carlone, H. B. & Johnson, A. Understanding the science experiences of successful women of color: science identity as an analytic lens. J. Res. Sci. Teach. 44, 1187–1218 (2007).

    Article  Google Scholar 

  19. Hazari, Z., Sonnert, G., Sadler, P. M. & Shanahan, M.-C. Connecting high school physics experiences, outcome expectations, physics identity, and physics career choice: a gender study. J. Res. Sci. Teach. 47, 978–1003 (2010).

    Article  Google Scholar 

  20. Cech, E., Rubineau, B., Silbey, S. & Seron, C. Professional role confidence and gendered persistence in engineering. Am. Sociol. Rev. 76, 641–666 (2011).

    Article  Google Scholar 

  21. Rodriguez, I., Brewe, E., Sawtelle, V. & Kramer, L. H. Impact of equity models and statistical measures on interpretations of educational reform. Phys. Rev. Phys. Educ. Res. 8, 020103 (2012).

    Article  Google Scholar 

  22. Burkholder, E., Walsh, C. & Holmes, N. G. Examination of quantitative methods for analyzing data from concept inventories. Phys. Rev. Phys. Educ. Res. 16, 010141 (2020).

    Article  Google Scholar 

  23. Smith, J. A. & Moody, J. Structural effects of network sampling coverage. I. Nodes missing at random. Soc. Netw. 35, 652–668 (2013).

    Article  Google Scholar 

  24. Godwin, A., Potvin, G., Hazari, Z. & Lock, R. Identity, critical agency, and engineering: an affective model for predicting engineering as a career choice. J. Eng. Educ. 105, 312–340 (2016).

    Article  Google Scholar 

  25. Patrick, A. & Borrego, M. A review of the literature relevant to engineering identity. In Proc. American Society for Engineering Education Annual Conference (American Society for Engineering Education, 2016).

  26. Cwik, S. & Singh, C. Not feeling recognized as a physics person by instructors and teaching assistants is correlated with female students’ lower grades. Phys. Rev. Phys. Educ. Res. 18, 010138 (2022).

    Article  Google Scholar 

  27. Li, Y. & Singh, C. Impact of perceived recognition by physics instructors on women’s self-efficacy and interest. Phys. Rev. Phys. Educ. Res. 19, 020125 (2023).

    Article  Google Scholar 

  28. Potvin, G. et al. Examining the effect of counternarratives about physics on women’s physics career intentions. Phys. Rev. Phys. Educ. Res. 19, 010126 (2023).

    Article  Google Scholar 

  29. Smith, E. M., Stein, M. M., Walsh, C. & Holmes, N. G. Direct measurement of the impact of teaching experimentation in physics labs. Phys. Rev. X 10, 011029 (2020).

    Google Scholar 

  30. Brewe, E. et al. Toward equity through participation in modeling instruction in introductory university physics. Phys. Rev. ST Phys. Educ. Res. 6, 010106 (2010).

    Article  Google Scholar 

  31. Henderson, R., Stewart, G., Stewart, J., Michaluk, L. & Traxler, A. Exploring the gender gap in the conceptual survey of electricity and magnetism. Phys. Rev. Phys. Educ. Res. 13, 020114 (2017).

    Article  Google Scholar 

  32. Dew, M., Perry, J., Ford, L., Bassichis, W. & Erukhimova, T. Gendered performance differences in introductory physics: a study from a large land-grant university. Phys. Rev. Phys. Educ. Res. 17, 010106 (2021).

    Article  Google Scholar 

  33. Hirshfield, L. E. ‘She won’t make me feel dumb’: identity threat in a male-dominated discipline. Int. J. Gend. Sci. Technol. 2, 5–24 (2010).

  34. Sundstrom, M., Schang, A., Heim, A. B. & Holmes, N. G. Understanding interaction network formation across instructional contexts in remote physics courses. Phys. Rev. Phys. Educ. Res. 18, 020141 (2022).

    Article  Google Scholar 

  35. Dunning, D. Chapter five – The Dunning–Kruger effect: on being ignorant of one’s own ignorance. Adv. Exp. Soc. Psychol. 44, 247–296 (2011).

    Article  Google Scholar 

  36. Marshman, E. M., Kalender, Z. Y., Nokes-Malach, T., Schunn, C. & Singh, C. Female students with A’s have similar physics self-efficacy as male students with C’s in introductory courses: a cause for alarm? Phys. Rev. Phys. Educ. Res. 14, 020123 (2018).

    Article  Google Scholar 

  37. Karatjas, A. G. & Webb, J. A. The role of gender in grade perception in chemistry courses. J. Coll. Sci. Teach. 45, 30–35 (2015).

    Article  Google Scholar 

  38. Nissen, J. M., Jariwala, M., Close, E. W. & Van Dusen, B. Participation and performance on paper-and computer-based low-stakes assessments. Int. J. STEM Educ. 5, 21 (2018).

    Article  Google Scholar 

  39. Walsh, C., Quinn, K. N., Wieman, C. & Holmes, N. G. Quantifying critical thinking: development and validation of the physics lab inventory of critical thinking. Phys. Rev. Phys. Educ. Res. 15, 010135 (2019).

    Article  Google Scholar 

  40. Smith, E. M. & Holmes, N. G. Best practice for instructional labs. Nat. Phys. 17, 662–663 (2021).

    Article  Google Scholar 

  41. Williams, E. A., Zwolak, J. P., Dou, R. & Brewe, E. Linking engagement and performance: the social network analysis perspective. Phys. Rev. Phys. Educ. Res. 15, 020150 (2019).

    Article  Google Scholar 

  42. Nissen, J. M., Talbot, R. M., Thompson, A. N. & Van Dusen, B. Comparison of normalized gain and Cohen’s d for analyzing gains on concept inventories. Phys. Rev. Phys. Educ. Res. 14, 010115 (2018).

    Article  Google Scholar 

  43. Van Dusen, B. & Nissen, J. Modernizing use of regression models in physics education research: a review of hierarchical linear modeling. Phys. Rev. Phys. Educ. Res. 15, 020108 (2019).

    Article  Google Scholar 

  44. Dou, R. & Zwolak, J. P. Practitioner’s guide to social network analysis: examining physics anxiety in an active-learning setting. Phys. Rev. Phys. Educ. Res. 15, 020105 (2019).

    Article  Google Scholar 

  45. Walsh, C., Stein, M. M., Tapping, R., Smith, E. M. & Holmes, N. G. Exploring the effects of omitted variable bias in physics education research. Phys. Rev. Phys. Educ. Res. 17, 010119 (2021).

    Article  Google Scholar 

  46. Theobald, E. J., Aikens, M., Eddy, S. & Jordt, H. Beyond linear regression: a reference for analyzing common data types in discipline based education research. Phys. Rev. Phys. Educ. Res. 15, 020110 (2019).

    Article  Google Scholar 

Download references

Acknowledgements

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program (Grant No. DGE-2139899 to M.S.). We thank A. Godwin, E. Stump, M. Dew and A. Heim for meaningful feedback on this work. We also thank E. Brewe, E. Burkholder, D. Doucette, Y. Kalender, A. Loveridge, G. Ponti and C. Tung for their data collection efforts.

Author information

Authors and Affiliations

Authors

Contributions

M.S. organized the data collection and conducted the data analysis. N.G.H. supervised the project. Both authors contributed to the development of the initial idea, the funding acquisition and writing the final manuscript.

Corresponding author

Correspondence to N. G. Holmes.

Ethics declarations

Ethics statement

This research was approved by the Cornell University Institutional Review Board (Protocol ID 0146224) and deemed exempt for board review as research within commonly accepted educational settings and involving educational surveys (Exemption Categories 1 and 2 of the United States Common Rule for Human Subjects Research). Informed consent was obtained from all human research participants.

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Physics thanks Robynne Lock, Vashti Sawtelle and Ben van Dusen for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–5, Tables 1–4 and notes.

Reporting Summary

Supplementary Data 1

Source data for Supplementary Fig. 1.

Supplementary Data 2

Source data for Supplementary Fig. 5.

Source data

Source Data Fig. 2

Source data for Fig. 2.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sundstrom, M., Holmes, N.G. Bias in physics peer recognition does not explain gaps in perceived peer recognition. Nat. Phys. 21, 524–529 (2025). https://doi.org/10.1038/s41567-025-02789-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41567-025-02789-w

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing