Methodology Deep-Dive

How Scoring Works

A visual explanation of how we calculate your personality type

最後更新: 2026年9月13日

證據與驗證狀態

來源可查:完整測試改編自 Open Psychometrics 的 32 題 OEJTS 1.2。問卷 PDF 記錄該版本的題目、計分規則與授權條款;開發頁面提供題目篩選背景,並不構成對本改編版本的驗證。

尚未發表:此 OpenJung 版本、8 題快速測試或各語言譯本的內部一致性、重測信度與因素結構驗證。因此,我們不會提供缺乏本實作資料支持的信度係數。

本專案調整了部分措辭與題目方向。快速測試的每個維度只有 2 題;為方便顯示而將分數換算為 8–40,並不代表它具有與完整測試相同的精細度。百分比表示量表上的位置,不是準確率或診斷機率。

結果適合用於自我反思與溝通。接近中點的結果無法確立固定類型,也不應用於招募、臨床或其他高風險決策。

OEJTS 題目及改編內容採用 CC BY-NC-SA 4.0 授權,並非公眾領域內容。MIT 授權適用於 OpenJung 原創程式碼,不適用於問卷。

目前的測試版本: 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