Adaptive Personality Assessment
Broad Personality Screening
A brief adaptive survey that screens broadly across personality constructs, then focuses on the areas where you score most distinctively.
What this test is
Welcome. Broad Personality Screening is an adaptive questionnaire that chooses each next question based on your earlier answers, so it can give a broad picture of your personality with fewer questions.
How would you like to use it?
For yourself
Take it yourself and receive a written score report you can download as a PDF. When you are signed in, your results are saved so you can retake it later and follow how your results change over time.
For researchers
Sign up as an Implicitify researcher to use the full suite of measures in your studies, or pay for each test you give. Research pricing is still being set, so we will confirm it with you when you get in touch.
Become a researcherFor clinicians
Open a clinician account to send this measure to your clients or patients through a secure link and review their scored results in one place.
Create a clinician accountAlready have an account? Go to your clinician dashboard.For educators
Use our measures in your courses to show students how psychological assessment works and to teach the principles of testing.
Request course accessHow it works
The assessment starts by showing items from many different personality traits. As your responses accumulate, it identifies where your profile is most distinctive and asks additional questions to confirm and refine those traits.
Response Scale
You will rate each statement from 1 (Very Inaccurate) to 5 (Very Accurate) as a description of you. There are no right or wrong answers — respond based on what is generally true for you.
Privacy & Data
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Normative basis: Items are drawn from the public-domain International Personality Item Pool (IPIP; Goldberg et al.). Population norms are derived from the Eugene-Springfield Community Sample (Goldberg, Harvard Dataverse doi:10.7910/DVN/UF52WY), computed directly from the raw ESCS responses on verbatim-matched items. Discrimination values are corrected item-rest correlations computed from the same dataset.