[Educational Testing Service](https://www.ets.org)

March 15, 2026 (preliminary application) | April 30, 2026 (final application)

$25,000 stipend + $8,000 tuition/fees + small research grant (1 year); $10,000 for summer internship

Supports doctoral students in psychometrics or related fields to conduct dissertation research with mentorship from ETS and academic advisors.

--- ## Description This fellowship supports promising graduate students pursuing innovative, applied research in psychometrics, educational measurement, statistics, or quantitative methods. Fellows conduct their dissertation research under the dual mentorship of their academic advisor and ETS researchers, beginning with the Ida Lawrence Research Summer Internship Program. The goal is to increase the number of well-trained scientists in educational measurement and related fields, providing both financial support and professional mentorship. --- ## Due Dates - March 15, 2026: Deadline for receipt of preliminary application materials - April 30, 2026: Deadline for receipt of final application materials --- ## Funding Amount - $25,000 stipend (paid to the fellow via their university) - $8,000 to cover tuition, fees, and work-study program commitments - A small grant to facilitate research project expenses - $10,000 for participation in the Ida Lawrence Research Summer Internship Program (separate from the main fellowship) - Fellowship duration: 1 year --- ## Eligibility - Must participate in the 2026 Ida Lawrence Research Summer Internship Program. - Must be enrolled in a doctoral program at the time of application, have completed all doctoral coursework, and be at the dissertation stage. - Research focus should be in psychometrics, statistics, educational measurement, or quantitative methods (priority given to dissertation topics in these areas). - Applicants receiving other financial assistance (assistantship, grant, etc.) during the fellowship must provide details of this support. - Selection is based on academic credentials, promise in the field, and the technical strength and relevance of the proposed research (ideally, the project is the applicant’s doctoral thesis and not otherwise funded). --- ## Application Process - **Preliminary Application** (by March 15, 2026): - Letter of interest describing the planned research and its alignment with ETS efforts - Statement about any additional financial assistance during the fellowship - Nomination letter from academic advisor - Current curriculum vitae - **Final Application** (by April 30, 2026, if invited): - Detailed project description (about 15 double-spaced pages) outlining research purpose, goals, and methods - Graduate academic transcripts (unofficial accepted) - Evidence of scholarship (presentations, manuscripts, etc.) - All materials should be submitted via email with PDF attachments to [internfellowships@ets.org](mailto:internfellowships@ets.org). --- ## Additional Information - Fellowship recipients begin with the 2026 Ida Lawrence Research Summer Internship Program. - Fellows are mentored by both ETS researchers and their academic advisor throughout the fellowship year. - The preferred arrangement is for the proposed research to be the applicant’s doctoral dissertation; non-dissertation projects may be considered if they involve significant independent work. --- ## External Links - [Program Details and Application Instructions](https://www.ets.org/research/internship-fellowship/about/harold-gulliksen.html) - [ETS Research Internship & Fellowship Programs Overview](https://www.ets.org/research/internship-fellowship/about.html) - [2026 Ida Lawrence Research Summer Internship Program](https://www.ets.org/content/ets-org/language-master/en/home/research/internship-fellowship/about/ida-lawrence.html) --- ## Contact Information | Type | Details | |---------------------|-----------------------------------------------------------| | General Inquiries | [internfellowships@ets.org](mailto:internfellowships@ets.org) | | ETS Contact Page | [https://www.ets.org/contact.html](https://www.ets.org/contact.html) |

Harold Gulliksen Psychometric Research Fellowship

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