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These facets show the widest internal spread across their four proxy items. Read them as context-sensitive rather than perfectly uniform signals.
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Each row keeps the proxy statement, selected response, reverse-key-aware score, and facet/domain mapping together.
| # | Statement | Response | Score | Facet | Domain | Copy |
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| {{ row.id }} | {{ row.text }} | {{ row.answer }} | {{ row.score }} | {{ row.facet }} | {{ row.domain }} |
This local record keeps the proxy disclosure, domain and facet means, contrast flags, and keyed answer ledger together.
The Big Five Inventory-2, usually shortened to BFI-2, is a hierarchical personality model that reads the familiar five broad domains first and then breaks each domain into three narrower facets. That combination is the main reason people use it: the broad domains are easy to recognize, but the facet layer shows whether a high or low domain score is being carried by social approach, emotional volatility, organization, curiosity, or another more specific pattern.
This page keeps that same five-domain, fifteen-facet frame while using an original 60-item proxy item bank instead of the copyrighted official BFI-2 wording. The result shows five domain means, fifteen four-item facet means, a radar chart, a contrast list for facets with the widest internal spread, and a full answer ledger you can export as CSV, DOCX, chart images, or JSON.
The lens selector changes only the interpretation language. It does not change the scores. That matters because the same domain pattern can be framed as a work-habit question, a team-dynamics question, or a personal-reflection question without pretending the underlying math changed. The privacy model is similarly plain: scoring happens in the browser, but the compact answer state can still sit in the URL and can travel with copied links or exported files.
Use this result as a structured self-report snapshot, not as an official BFI-2 administration, not as a diagnosis, and not as a hiring or screening tool. It is most useful when it turns a broad trait label into a more concrete question about behavior, context, and tradeoffs.
All 60 items use the same 1 to 5 agreement scale. Reverse-keyed items are recoded so that higher keyed values always mean more of the trait direction being measured for that facet. Each facet mean is based on four keyed items. Each domain mean is then based on the twelve keyed items that belong to that domain. In practice, that means the domain story is materially stronger than any single item, while the facet story is strong enough to be useful but still brief enough to stay cautious.
| Domain | Facet clusters used here | Items per facet | Items per domain |
|---|---|---|---|
| Extraversion | Sociability, Assertiveness, Energy Level | 4 | 12 |
| Agreeableness | Compassion, Respectfulness, Trust | 4 | 12 |
| Conscientiousness | Organization, Productiveness, Responsibility | 4 | 12 |
| Negative Emotionality | Anxiety, Depression, Emotional Volatility | 4 | 12 |
| Open-Mindedness | Intellectual Curiosity, Aesthetic Sensitivity, Creative Imagination | 4 | 12 |
| Readout | Rule used here | Meaning on this page |
|---|---|---|
| Domain or facet band | Higher at 3.6 or above, lower at 2.4 or below, middle otherwise | A local reading band for quick orientation, not an official BFI-2 norm. |
| Profile balance | Highest domain mean minus lowest domain mean | Below 0.45 reads as balanced, below 0.95 as moderate tilt, and 0.95 or above as clear tilt. |
| Facet firmness | Highest keyed item minus lowest keyed item inside one four-item facet | A spread of 0 to 1 reads as steady, 2 as mixed, and 3 or 4 as split signal. |
| Contrast list | Facets with the widest within-facet spread | Highlights where the average may hide a more context-sensitive pattern. |
The tool deliberately avoids percentile claims. The Berkeley lab notes that there is no official BFI-2 manual with published norms, so this proxy uses transparent local bands and a same-scale radar instead of pretending it can assign a formal ranking. The answer ledger, JSON export, and chart downloads are there to make the scoring auditable, not to imply official comparability with licensed BFI-2 reports.
Start with the five domain means. They answer the broad question: which parts of the trait profile are most prominent, which are quietest, and how far apart are they? Only after that should you read the fifteen facet clusters. Facets are best used as explanations for a domain, not as independent labels that outrank the broad-domain picture.
The contrast list is especially useful when you feel a result is both true and incomplete. A facet can average to the middle while still containing a wide split between its four keyed items. That usually means the person does not show the same style in every version of the same theme. In daily life that looks like situational variability rather than contradiction.
The lens selector is helpful when you want a different practical translation of the same profile. A work lens can turn Conscientiousness into questions about delivery, planning, and over-polishing. A team lens can turn Agreeableness or Extraversion into questions about collaboration, participation, and conflict tone. The score stays the same either way.
The lead domain is the clearest broad signal, but the spread across all five domains matters just as much. A balanced profile means no single broad trait dominates the story. A clearer tilt means the distance between the highest and lowest domains is large enough that the profile will usually feel more differentiated in daily life.
Negative Emotionality needs especially careful reading because many readers expect the opposite label, emotional stability. In this tool, a higher Negative Emotionality mean reflects more worry, discouragement, or reactivity. A lower mean reflects a calmer or less stress-reactive pattern. That is not a clinical finding. It is simply the direction of this personality domain.
Facet means tell you what is carrying a domain. A higher Extraversion score led by Assertiveness reads differently from one led by Energy Level. A lower Agreeableness score driven mostly by Trust reads differently from one driven by Respectfulness. That is exactly why the facet layer matters. It prevents a domain mean from becoming too vague.
The most cautious interpretation is behavioral. Ask what the lead domain helps you do, where the quiet domain creates friction, and whether any split facet looks context-sensitive enough that you should retest under calmer or more typical conditions before drawing strong conclusions.
Example 1: Higher Conscientiousness with a mixed Productiveness facet. The broad read says planning and follow-through are a strength. The mixed Productiveness spread then adds an important nuance: the person may be dependable and organized overall, but task momentum still changes noticeably with context.
Example 2: Lower Extraversion led down mostly by Sociability. That profile often points to lower crowd-seeking or lower need for constant interaction rather than low voice or low initiative everywhere. If Assertiveness stays middling, the person may still speak up when needed even while preferring lower-stimulation settings.
Example 3: Higher Open-Mindedness with Creative Imagination clearly above Aesthetic Sensitivity. The domain headline is curiosity and openness, but the facet pattern suggests the profile is being expressed more through idea generation and alternative thinking than through art or atmosphere.
No. It is a structure-aligned proxy that follows the five-domain, fifteen-facet frame without reproducing the licensed official item wording.
Not quite. The facet layer is useful and each facet has four items here, but the domain layer is still the stronger anchor because it aggregates three related facet clusters.
Because this proxy does not claim official BFI-2 norms. The bands are transparent local rules for reading the profile on its original 1 to 5 scale.
Routine scoring stays in the browser. The practical privacy caveat is that the compact answer state can be preserved in the URL and in any files you export.