The DOI matches its Crossref record.
Research-based strategies for combating the impostor phenomenon in higher education.
Abstract
This chapter explores how higher education institutions can effectively and efficiently balance empirical evidence and practical limitations to conceptualize and deliver student-facing impostor phenomenon (IP) interventions while working toward institutional-level changes to address systemic factors that foster IP. The content and strategies we share are drawn from findings from an extensive literature review and our work designing and facilitating IP workshops.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Self-compassion, which is associated with lower anxiety, may help relieve distress while disrupting the IP cycle (Rosenscruggs and Schram, 2024).”
From Exploring relationships between self-compassion, impostor phenomenon, and mental health among doctoral students (2025) · cites this paper as Rosenscruggs and Schram, 2024
Citations
Cited by
Clarke, B. J., & Hartley, M. T. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1669075 · Cited by 3
Metadata
- Authors
- Rosenscruggs, D., & Schram, L.
- Venue
- The impostor phenomenon: Psychological research, theory, and interventions.
- Publisher
- American Psychological Association
- Published
- 2024
- Pages
- 309-339
- Cited by
- 3
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Research-based strategies for combating the impostor phenomenon in higher education. https://app.cochat.ai/papers/10.1037/0000397-015
- The paper
- Rosenscruggs, D., & Schram, L. (2024). Research-based strategies for combating the impostor phenomenon in higher education. The impostor phenomenon: Psychological research, theory, and interventions. https://doi.org/10.1037/0000397-015
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
