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five-factor-e-1.9.0


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توضیحات

Big 5 IPIP-NEO Personality Traits
ویژگی مقدار
سیستم عامل -
نام فایل five-factor-e-1.9.0
نام five-factor-e
نسخه کتابخانه 1.9.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Ederson Corbari, ReWire5
ایمیل نویسنده <e@rewire5.com>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/five-factor-e/
مجوز -
<img src="https://raw.githubusercontent.com/rewire5-io/five-factor-e/main/doc/rewire5.png" align="right" width="80" height="70"/> # Five Factor E 🌊 [![PyPI Latest Release](https://img.shields.io/pypi/v/five-factor-e.svg)](https://pypi.org/project/five-factor-e/) ![python 3.7 | 3.8 | 3.9 | 3.10 | 3.11][python_version] [![PyPi Downloads](https://pepy.tech/badge/five-factor-e)](https://pepy.tech/project/five-factor-e) [![Code style: Black](https://img.shields.io/badge/code%20style-Black-000000.svg)](https://github.com/psf/black) [python_version]: https://img.shields.io/static/v1.svg?label=python&message=3.7%20|%203.8%20|%203.9%20|%203.10%20|%203.11%20&color=blue <p align="center"> <img src="https://raw.githubusercontent.com/rewire5-io/five-factor-e/main/doc/big-five-rewire5.png" alt="Representation of the Big Five"/> </p> This project assesses a person's 🗣 personality based on an inventory of questions. The project uses the **Big Five** theory using the [IPIP-NEO-300](http://www.personal.psu.edu/~j5j/IPIP/ipipneo300.htm) model created by **Lewis R. Goldberg** and [IPIP-NEO-120](http://www.personal.psu.edu/~j5j/IPIP/ipipneo120.htm) the shorter version developed by Professor **Dr. John A. Johnson**, this is a free representation of the [NEO PI-R™](https://en.wikipedia.org/wiki/Revised_NEO_Personality_Inventory). 👉 *"The IPIP-NEO is not identical to the original NEO PI-R, but in my opinion it is close enough to serve as a good substitute. More and more people are beginning to use it in published research, so its acceptance is growing."* - Dr. Johnson The main idea of the project is to facilitate the use of **Python** developers who want to use **IPIP-NEO** in their projects. *The project is also done in pure Python, it doesn't have any dependencies on other libraries*. 👉 *"That is wonderful, ...! Thank you for developing the Python version of the IPIP-NEO and making it publicly available. It looks like a great resource."* - Dr. Johnson Note 🚩: *The project is based on the work of **Dhiru Kholia**, and is an adaptation of [ReWire5](https://github.com/rewire5-io) for a version that can be reused in other projects of the company.* ### Synopsis 🌐 A little theory, The Big Five or Five Factor is made up of **5** great human personalities also known as the 🌊 **O.C.E.A.N**. Are they: * **O**penness * **C**onscientiousness * **E**xtraversion * **A**greeableness * **N**euroticism To compose each great personality there are **6** traits or facets, totaling **30** traits. The user must answer a questionnaire of **120** or **300** single choice questions with **5** options: * Very Inaccurate * Moderately Inaccurate * Neither Accurate Nor Inaccurate * Moderately Accurate * Very Accurate For more information to demystify the Big Five, please see the article: [Measuring the Big Five Personality Domains](https://pages.uoregon.edu/sanjay/bigfive.html). User-selected answers follow the position: | Option | Array | | ------------------------------- | ----------- | | Very Inaccurate | 1 | | Moderately Inaccurate | 2 | | Neither Accurate Nor Inaccurate | 3 | | Moderately Accurate | 4 | | Very Accurate | 5 | Note 🚩: Some answers have the order of the [score reversed](https://ipip.ori.org/newScoringInstructions.htm), the algorithm treats the questions with the score inverted by (*question_id*). ### Releases 🎈 News about each version please look here: * [Releases](https://github.com/rewire5-io/five-factor-e/blob/main/RELEASES.md) ### Installation 🚀 From **PyPI**: ```shell $ python3 -m pip install --upgrade five-factor-e ``` From source: ```shell $ git clone https://github.com/rewire5-io/five-factor-e.git $ cd five-factor-e $ python3 -m pip install . ``` ### How to use 🔥 The construtor requires the questions model, whether it is the **300** model or short model with **120** questions. It also has the version to do simulations with the questions that are [reversed](https://ipip.ori.org/newScoringInstructions.htm). For this, you must turn the **test** variable from false to true, for more details on reverse scoring tests see section [Experiments with reverse scoring questions](https://github.com/rewire5-io/five-factor-e/blob/main/data/README.md). | Parameters | Type | Description | | ------------- | --------- | ----------------------------------------------------------------- | | question | int | Question type, 120 or 300. | | test | boolean | Used to simulate reverse scoring questions, only used for studies.| Example: ```python from ipipneo import IpipNeo ipip = IpipNeo(question=120) ``` The **120** item version is a short version of the inventory, but you can use the full **300** item version. Example: ```python from ipipneo import IpipNeo ipip = IpipNeo(question=300) ``` The answers must be in a *standardized json*, you can insert this template in the [data](https://github.com/rewire5-io/five-factor-e/blob/main/data/IPIP-NEO/120/answers.json) folder of the project. This dictionary contains random answers, used for testing purposes only. As an example, you can load the file with the **120** test responses: ```python import json, urllib.request data = urllib.request.urlopen("https://raw.githubusercontent.com/rewire5-io"\ "/five-factor-e/main/data/IPIP-NEO/120/answers.json").read() answers120 = json.loads(data) ``` For the long inventory version with **300** items. ```python import json, urllib.request data = urllib.request.urlopen("https://raw.githubusercontent.com/rewire5-io"\ "/five-factor-e/main/data/IPIP-NEO/300/answers.json").read() answers300 = json.loads(data) ``` #### Compute the data 🏁 The **compute** method is used to evaluate the answers, see the table below with the parameters: | Parameters | Type | Description | | ------------- | --------- | --------------------------------------------------------- | | sex | string | The sex of the individual (M or F). | | age | int | The age of the individual (between 18 and 100 years old). | | answers | dict | Standardized dictionary with answers. | | compare | boolean | If true, it shows the user's answers and reverse score. | Calculate the Big Five for a **40-year-old man**: ```python IpipNeo(question=120).compute(sex="M", age=40, answers=answers120) ``` For the long version of the inventory just change the parameters *question* to **300**. ```python IpipNeo(question=300).compute(sex="M", age=40, answers=answers300) ``` Calculating the Big Five for a **25-year-old woman**: ```python IpipNeo(question=120).compute(sex="F", age=25, answers=answers120) ``` An example of the output of the results: ```json { "personalities":[ { "openness":{ "O":24.29091080263288, "score": "low", "traits":[ { "trait":1, "imagination":21.43945888481437, "score":"low" }, { "trait":2, "artistic_interests":4.344187760272675, "score":"low" }, { "trait":3, "emotionality":8.379530297432893, "score":"low" }, { "trait":4, "adventurousness":30.805235884673323, "score":"low" }, { "trait":5, "intellect":47.84680512022845, "score":"average" }, { "trait":6, "liberalism":84.95164346200181, "score":"high" } ] } } ] } ``` Example of the complete output check here: [Big 5️⃣ Output](https://github.com/rewire5-io/five-factor-e/blob/main/data/IPIP-NEO/120/result.json) ### Tests 🏗 For the tests it is necessary to download the repository. To run the unit tests use the command below: ```shell $ ./run-test ``` #### Using inventory for testing 📚 If you want to make an assessment by answering the inventory of questions, just run: ```shell $ ipipneo-quiz ``` In this program you take an assessment for the short version with **120** items as well as the **300** item version, just follow the program's instructions. It is possible to see the **basic graphs** of your **Big-Five** via terminal, if you want to see the graphs at the end of the questionnaires you need to run the installation command: ```shell $ pip install five-factor-e[quiz] ``` Example output with graphics: <p align="center"> <img src="https://raw.githubusercontent.com/rewire5-io/five-factor-e/feature/v1.5.0/doc/sample-light-1.png" alt="Big Five Results" border="1"/> </p> *The complete result is saved in the run folder in json format*. ### About data 📊 Inside the data [data](https://github.com/rewire5-io/five-factor-e/blob/main/data/) directory, there are examples of questions and answers. The most important is the response data entry which must follow the pattern of this [file](https://github.com/rewire5-io/five-factor-e/blob/main/data/IPIP-NEO/120/answers.json). Example: ```json { "answers":[ { "id_question":50, "id_select":5 }, { "id_question":51, "id_select":2 } ] } ``` The id question field refers to the question in this [file](https://github.com/rewire5-io/five-factor-e/blob/main/data/IPIP-NEO/120/questions.json). Obviously if you want you can change the translation of the question, *but don't change the ID of the question*. Note 🚩: * *The order of answers does not affect the result;* * *You can rephrase the questions to your need, but don't change the question IDs, they are used by the algorithm.* ### Credits 🏆 * Dr John A. Johnson * Dhiru Kholia * Chris Hunt ### License 🙋 * https://ipip.ori.org/newPermission.htm ### Resources 📗 * http://www.personal.psu.edu/j5j/IPIP/ipipneo300.htm * http://www.personal.psu.edu/j5j/IPIP/ipipneo120.htm * http://www.personal.psu.edu/faculty/j/5/j5j/ * https://ipip.ori.org/ * https://osf.io/tbmh5/ * https://github.com/kholia/IPIP-NEO-PI ### Authors 👨‍💻 * [Ederson Corbari](mailto:e@rewire5.io) 👽


نیازمندی

مقدار نام
- plotext


زبان مورد نیاز

مقدار نام
>=3.5 Python


نحوه نصب


نصب پکیج whl five-factor-e-1.9.0:

    pip install five-factor-e-1.9.0.whl


نصب پکیج tar.gz five-factor-e-1.9.0:

    pip install five-factor-e-1.9.0.tar.gz