HAMRA's personality section is a self-awareness and styling tool. It is not a clinical assessment, and its output should not be used for hiring decisions. This page documents every empirical claim the section makes and the peer-reviewed source behind it.
1. What the 12-item communication-style survey measures
The 12 items + 1 attention check come from the International Personality Item Pool (IPIP), a public-domain item bank developed by Lewis R. Goldberg over 25+ years of research on personality measurement.
> Goldberg, L. R. (1999). A broad-bandwidth, public domain, personality inventory measuring the lower-level facets of several five-factor models. *Personality Psychology in Europe*, 7. https://ipip.ori.org/
The items map onto four DISC-adjacent communication-style quadrants using the BFI-2 facet structure documented by Soto & John (2017):
| HAMRA quadrant | Big Five facet alignment |
|---|---|
| D (Dominance) | Extraversion — Assertiveness |
| I (Influence) | Extraversion — Sociability |
| S (Steadiness) | Agreeableness + Emotional Stability |
| C (Conscientiousness) | Conscientiousness — Industriousness + Orderliness |
> Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2). *Journal of Personality and Social Psychology*, 113(1), 117–143. https://doi.org/10.1037/pspp0000096
Important note on DISC. Classical DISC (Marston, 1928) is not a peer-reviewed personality model. We use the four DISC quadrants as a styling framework, not as a personality theory. The validity in our results comes from the IPIP items, not from the DISC label they're grouped under.
2. How scoring works
Each scored item is on a 5-point Likert scale (Strongly Disagree → Strongly Agree). Reverse-scored items (marked in lib/personality/items.ts with reverse: true) are flipped before summing — this controls for acquiescence bias (the tendency to agree with everything).
Per dimension, the raw score is the mean of the 3 corrected item responses. That raw score is then transformed to a percentile rank against the IPIP-NEO normative sample (N = 22,177 working adults):
> Maples, J. L., Guan, L., Carter, N. T., & Miller, J. D. (2014). A test of the International Personality Item Pool representation of the Revised NEO Personality Inventory. *Psychological Assessment*, 26(4), 1070–1084. https://doi.org/10.1037/pas0000004
Cronbach's α from this paper (a measure of internal consistency) per factor: 0.78–0.86.
We display percentile ranks (e.g. "Higher than 73% of working adults") rather than raw scores because percentile ranks are interpretable; raw scores aren't.
3. Confidence intervals
Each percentile is shown with a ±N points band representing one Standard Error of Measurement (SEM). The SEM is computed from the dimension's standard deviation and Cronbach's α:
SEM = SD × √(1 − α)
A score of "73rd percentile ±8" means the true percentile is, with ~68% probability, between the 65th and 81st. Elite-grade personality tools (Hogan, Clifton Strengths) surface error bars; we do too because point estimates from 3-item scales overstate precision.
4. Four validity checks
Every attempt is checked for response quality:
1. Attention check — one item that says "Please select 'Agree' for this item." Failing it indicates inattentive responding.
2. Consistency — within each dimension, forward and reverse-scored items should agree after correction. If they disagree by more than 2 points (on a 5-point scale) in more than one dimension, responses are flagged.
3. Acquiescence — selecting the same option on more than 80% of items signals straight-line responding.
4. Speed — completing in less than 4 seconds per item is too fast to be reading carefully.
If any of these fail, the results page shows a banner and asks the user to retake. We still store the responses so they're not lost, but the UI is honest about what we can and cannot infer.
5. What this assessment is NOT
- It is not a clinical personality assessment. Clinical instruments require licensed administration, interpretation, and longer item banks. Don't use this for diagnosis.
- It is not for hiring decisions. The EEOC, Indian POSH/DPDP, and most employment-law regimes restrict using personality assessments in selection without validation studies on your specific job. We don't do that work, so we don't claim that fit.
- It is not a stable identity. Communication style varies with context, mood, and life stage. Re-take in 6 months and expect movement of 10–15 percentile points per dimension.
6. Attire recommendations — research base
Every attire recommendation in the blueprint cites peer-reviewed research:
- Howlett, Pine, Cahill, Orakçıoğlu, & Fletcher (2015). Unbuttoned: the interaction between provocativeness of female work attire and occupational status. *Sex Roles*, 72(3-4), 105–116. https://doi.org/10.1007/s11199-015-0450-8 — formality of work attire is rated as the strongest single predictor of perceived competence in interviews.
- Peluchette & Karl (2007). The impact of workplace attire on employee self-perceptions. *Human Resource Development Quarterly*, 18(3), 345–360. https://doi.org/10.1002/hrdq.1208 — formal "power" attire boosts both self-perceived authority and observer-rated authority.
- Forsythe (1990). Effect of applicant's clothing on interviewer's decision to hire. *Journal of Applied Social Psychology*, 20(19), 1579–1595. https://doi.org/10.1111/j.1559-1816.1990.tb01494.x — structured silhouettes increase perceived management capability.
- Adam & Galinsky (2012). Enclothed cognition. *Journal of Experimental Social Psychology*, 48(4), 918–925. https://doi.org/10.1016/j.jesp.2012.02.008 — wearing formal clothing measurably increases the wearer's abstract thinking and felt power.
- Slepian, Ferber, Gold, & Rutchick (2015). The cognitive consequences of formal clothing. *Social Psychological and Personality Science*, 6(6), 661–668. https://doi.org/10.1177/1948550615579462 — formal clothing shifts cognitive processing toward abstract, big-picture thinking.
Color signaling
- Elliot & Maier (2014). Color psychology: Effects of perceiving color on psychological functioning in humans. *Annual Review of Psychology*, 65, 95–120. https://doi.org/10.1146/annurev-psych-010213-115035 — color affects perception in business contexts: blue signals trust and competence; red signals dominance; warm tones signal approachability. Effects are context-dependent, not universal.
- Pazda, Elliot, & Greitemeyer (2013). Black is perceived as fashionable and competent in formal settings.
Industry-specific dress conventions
- Bickle & Eckmann (2018). Dressing for the interview: Influence of industry context on hiring decisions. *Journal of Family and Consumer Sciences*, 110(2), 26–32. https://doi.org/10.14307/JFCS110.2.26 — interview-attire expectations vary by industry; mismatched formality reduces hire-likelihood ratings.
What we deliberately exclude
- Color seasons / "Color Me Beautiful" (Carole Jackson, 1980). Pop styling framework with no peer-reviewed validity for inferring personal attributes from skin tone. We use it as a palette-organization framework only, not as a personal characteristic.
- Body-type-specific recommendations. The research base is thin and tends to conflate observable shape with normative judgement. We don't ship recommendations keyed off body type.
7. Photo critique — what we evaluate (and don't)
The /personality photo critique evaluates 8 observable image-quality dimensions:
1. Composition (rule of thirds, head-and-shoulders framing)
2. Lighting (soft, even, no harsh shadows)
3. Background (clean, no clutter)
4. Attire alignment with your DISC-recommended palette
5. Color harmony in the photo
6. Posture (open shoulders, slight forward lean) — Argyle 1988
7. Eye contact (40–60% direct gaze is the goal) — Argyle 1988
8. Expression (Duchenne smile detection — crinkling at eye corners) — Ekman 1990
> Argyle, M. (1988). *Bodily Communication* (2nd ed.). Methuen & Co.
> Ekman, P., Davidson, R. J., & Friesen, W. V. (1990). The Duchenne smile: Emotional expression and brain physiology II. *Journal of Personality and Social Psychology*, 58(2), 342–353. https://doi.org/10.1037/0022-3514.58.2.342
The photo critique does NOT:
- Infer personality, character, intelligence, or trustworthiness from facial features. Naumann et al. (2009) and the broader thin-slice photo-personality literature show minimal-to-zero accuracy beyond chance for most Big Five traits when faces are the only input.
- Evaluate attractiveness, perceived age, race, ethnicity, gender, religion, or disability.
- Recommend changes to body, skin, or features the user cannot ergonomically change.
A prior version of HAMRA inferred DISC personality from selfies. That feature was removed on 2026-05-16 because the inference has no research basis. The new flow uses your self-report questionnaire as the known communication-style input and the photo for image-quality critique only.
8. Career mapping (v2)
When the full Big Five flow ships (v2), career-fit recommendations will be driven by these meta-analytic correlations:
- Barrick & Mount (1991). Conscientiousness predicts performance across nearly all jobs (r ≈ .22). https://doi.org/10.1111/j.1744-6570.1991.tb00688.x
- Judge, Bono, Ilies, & Gerhardt (2002). Extraversion is the strongest correlate of leadership emergence (r ≈ .31). https://doi.org/10.1037/0021-9010.87.4.765
- LePine (2003). Openness predicts adaptive performance in roles requiring continuous learning. https://doi.org/10.1037/0021-9010.88.1.27
- Mount, Barrick, & Stewart (1998). Agreeableness predicts performance in customer-facing and team-oriented roles. https://doi.org/10.1080/08959285.1998.9668029
- Judge & Bono (2001). Emotional Stability is a core determinant of performance in high-stress and leadership roles. https://doi.org/10.1037/0021-9010.86.1.80
The v1 communication-style survey only covers four DISC quadrants and so can't drive full Big Five → career mapping yet. That arrives in v2 alongside the 60-item IPIP-NEO-60.
9. Data retention
All personality assessment responses are stored in your account in the disc_assessments table. You can:
- View your responses at /personality.
- Re-take the assessment at any time. Each attempt is stored as a new row; the most recent attempt drives the active recommendations.
- Delete your data via /settings → Privacy → Delete account, which cascades to all assessment rows. Or contact grievance@hamraofficial.com to delete the assessment data only.
Raw responses are stored alongside computed scores so we can re-score if the norms change. No third party (Razorpay, Dodo, PostHog, Resend) sees your assessment data — it lives in your Supabase row and is read only by HAMRA app code.
10. Changes to this document
If the methodology changes — new items, new norms, new attire research — this page is updated and the assessment's survey_version field bumps. Historical attempts keep the version they were scored under so old results stay reproducible.
Last updated: 2026-05-16. Survey version: v1.0-ipip-quick-12.