data

About data 📊

The data directory contains the artifacts used for the IPIP-NEO used by this library, in the short version with 120 items and the long version with 300 items.

If you are thinking of using this library in your project, you should follow the standard question and answer files proposed in examples 120 and 300.

The translations of the questions are in the translation folder, as the translations happen, we will attach them to this directory. If you want to send a translation that is not in the repository, feel free to contribute with us following the json file pattern.

Experiments with reverse scoring questions ⚡

If you want to test and experiment with questions with the reverse order, you need to use the example json file. Answers that have the key (reverse_scored = 1) will have the reverse score ie: The value selected was 5, it will be turned into 1. You can read more about it here:

• https://ipip.ori.org/newScoringInstructions.htm
• https://ipip.ori.org/newMultipleconstructs.htm
• https://ipip.ori.org/Finding_Scales_to_Measure_Particular_Constructs.htm

{
   "answers":[
      {
         "id_question":1,
         "id_select":5,
         "reverse_scored":1
      },
      {
         "id_question":2,
         "id_select":2,
         "reverse_scored":0
      }
    ]
}

Example loading json response file locally:

import json

with open("my-test-answers.json", "r") as f:
  answers120 = json.load(f)

For the test, we must start the constructor with the test variable turned on:

from ipipneo import IpipNeo

IpipNeo(question=120, test=True).compute(sex="M", age=40, answers=answers120, compare=True)

If you have any questions, please send us an email to: (e at NeuroQuest.ai) or create an issue reporting the question of the problem in the repository of this project (https://github.com/NeuroQuestAi/five-factor-e/issues).

Thanks!