Methodology Deep-Dive

How Scoring Works

A visual explanation of how we calculate your personality type

最后更新: 2026年9月13日

证据与验证状态

来源可查:完整测试改编自 Open Psychometrics 的 32 题 OEJTS 1.2。问卷 PDF 记录该版本的题目、计分规则和许可;开发页面提供题目筛选背景,不构成本项目的验证。

尚未发布:本项目当前版本、8 题快测或各语言译本的内部一致性、重测可靠性与因子结构验证。因此这里不提供未经本项目数据支持的可靠性数字。

本项目调整了部分措辞与题目方向。快测每个维度仅 2 题,得分换算到 8–40 便于显示,不意味着它和完整测试具有相同精度。百分比表示量表上的位置,不是准确率或诊断概率。

适合自我观察与沟通。接近中点的结果不宜当作确定标签,也不应用于招聘、医疗或其他高风险判断。

OEJTS 题目及改编内容采用 CC BY-NC-SA 4.0 许可,并非公共领域内容。MIT 许可适用于 OpenJung 原创代码,不适用于问卷。

当前题目与计分版本: openjung-oejts-1

Scoring Overview

32
Questions
4
Dimensions
16
Possible Types
1

Question Structure

Each question presents two opposing traits. You indicate your preference on a 5-point scale:

Example Question:

Energized by socializing
Energized by solitude
Score Meaning
1 Strongly prefer left trait
2 Somewhat prefer left trait
3 No preference (neutral)
4 Somewhat prefer right trait
5 Strongly prefer right trait
2

Dimension Calculation

The 32 questions are divided into 8 questions per dimension. We sum your answers for each dimension:

E–I Dimension

Questions: 3, 7, 11, 15, 19, 23, 27, 31
4 3 5 2 4 3 4 3 = 28

S–N Dimension

Questions: 4, 8, 12, 16, 20, 24, 28, 32
2 3 4 2 3 4 3 4 = 25

T–F Dimension

Questions: 2, 6, 10, 14, 18, 22, 26, 30
3 2 4 3 2 3 4 3 = 24

J–P Dimension

Questions: 1, 5, 9, 13, 17, 21, 25, 29
4 5 3 4 5 4 3 4 = 32

Score range: Each dimension score ranges from 8 (all 1s) to 40 (all 5s). The midpoint is 24.

3

Type Determination

For each dimension, we compare the score to the threshold of 24:

E–I Score: 28
E
I
8 24 40
28 > 24 → I
S–N Score: 25
S
N
8 24 40
25 > 24 → N
T–F Score: 24
F
T
8 24 40
24 ≤ 24 → F (tie goes left)
J–P Score: 32
J
P
8 24 40
32 > 24 → P

Final Type:

INFP
4

Percentage Calculation

We convert raw scores to percentages to show preference strength:

Right trait % = ((score - 8) / 32) × 100
Dimension Score Calculation Result
E–I 28 (28-8)/32 × 100 62.5% I
S–N 25 (25-8)/32 × 100 53.1% N
T–F 24 (24-8)/32 × 100 50.0% F
J–P 32 (32-8)/32 × 100 75.0% P

Open Source

Our scoring algorithm is completely transparent. You can inspect the source code:

View on GitHub