Open research data

Explore contributed assessment statistics, individual score records and their limitations.

The updated research explanation is currently available in English and Simplified Chinese. The English text is shown here.

Source and limitations

Only current-version assessments contributed with explicit research consent and rescored by the server are included. Full tests, quick tests and versions are kept separate. Legacy records without mode or consent evidence are excluded.

Server validation establishes answer-format and scoring consistency, not psychometric validity. Visitors volunteer their records, which can include repeated tests by one person. This sample cannot establish population type prevalence.

openjung-oejts-1 · data 2.0

Explore and download

Only consented, server-rescored records for the current assessment version are included. Counts are assessments, not unique people or a representative population.

Loading eligible records…

What downloads contain

Exports contain individual de-identified score records, not just aggregate numbers. Raw answers, names, emails and session identifiers are not included.

FieldMeaning
type Server-calculated four-letter type
score_ei / score_sn / score_tf / score_jp 8–40 presentation scores; low to high: E→I, S→N, F→T, J→P
test_mode / assessment_version Mode and question/scoring version
locale Selected interface language, not evidence of validated question translations
completed_month Completion month as YYYY-MM

API and reproducibility

Statistics and downloads use the same filters. mode defaults to full, or can be quick; locale is optional. Downloads accept format=json or csv, limit (1–50,000) and offset (0–1,000,000). New contributions may shift later pages.

GET /api/research/stats?dataVersion=2.0&mode=full&locale=zh
GET /api/research/download?dataVersion=2.0&mode=full&locale=zh&format=json&limit=10000&offset=0

Data is offered under CC BY 4.0. Attribute OpenJung and report the assessment version, selected mode and language, download date and sampling limits. Do not interpret these distributions as population statistics or reliability evidence.

CC BY 4.0