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  • 2023-2024 Mary S. Cerney Student Paper Award

    Applications Due July 24, 2023!
  • This award is given annually to the best student paper dealing with some aspect of personality assessment. This award carries a small stipend to help defray the cost of attending the Annual Convention. 

    Eligibility 

    Students in psychology or related disciplines are invited to apply. Eligible papers are those first-authored by a student (at the time the work was completed). Papers based on doctoral dissertations are eligible only if the reseach was completed prior to the granting of a doctoral degress and submitted within a year of completing the degree. 

    Submission 

    Please submit a paper as a journal-style manuscript, along with a cover letter identifying the student and stating the paper's relevance to the field of personality assessment. For co-authored submissions, the student must be the first author. Please do NOT submit an entire dissertation or thesis. 

    All applications must be submitted by July 24, 11:59pm EDT / July 25, 4:59pm GMT. 

    If you have any questions, please reach out to our office at [email protected]. 

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  • Demographic Information

    SPA is dedicated to creating an intentionally inclusive Society that does not discriminate on the basis of all identity dimensions, which include, but are not limited to, ability, age, ethnicity, gender identity and expression, immigrant status, national origin, race, religion, sex, sexual orientation, socioeconomic status, and veteran status. We welcome nominations from all individuals that meet the application requirements. Feel free to indicate multiple boxes where applicable.

    We are inviting you as the applicant to self-identify along any and all of these following demographic dimensions. The information provided will only be seen by the Awards Selection Committee, and we will utilize this information to ensure the applicant pool represents the full diversity of our membership. Any report of the applicants will be shared in aggregate form, and no personally identifiable information will be connected to the demographics.

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