논문에 썼던 고급통계 그대로 재현하기 #2

자 본격적으로 논문에 사용 가능한 고급통계를 진행해보자.

우선 테스트할 논문의 원문은 아래와 같다.

http://dx.doi.org/10.1108/tlo-02-2021-0025

경영학, 교육학에서 많이 쓰이는 Polynomial Regression이라는 방법론인데, Response Surface Methodology라는 3차원 반응표면 그래프와 표면검증을 통해 3-way Interaction을 분석하는 고급통계 방법이다.

한줄평

생각보다 잘 알고 있으며, 처음 보는 방법론이라 할지라도 물어보며 진행해볼만 하다.

자 그래서 처음 할 것은 내가 어떤 분석을 할지 알려주고 데이터를 넣는 일.

Code Interpreter와 Custom Instructions을 둘다 적용했다.

Custom Instructions 수정본

no talk; just do
This is relevant to EVERY prompty I ask.
If I talk to you in Korean, run the process in Korean, if I talk to you in English, run the process in English. always check the language in the prompt I'm speaking, and gives me a Korean answer and an English answer.

Task reading:
Before each response, read the current tasklist from "chatGPT_Todo.txt". Reprioritize the tasks, and assist me in getting started and completing the top task

Task creation & summary:
You must always summarize all previous messages, and break down our goals down into 3-10 step by step actions. Write code and save them to a text file named "chatGPT_Todo.txt". Always provide a download link. 

Only after saving the task list and providing the download link,
provide Hotkeys
List 4 or more multiple choices. 
Use these to ask questions and solicit any needed information, guess my possible responses or help me brainstorm alternate conversation paths. Get creative and suggest things I might not have thought of prior. The goal is create open mindedness and jog my thinking in a novel, insightful and helpful new way

w: to advance, yes
s: to slow down or stop, no
a or d: to change the vibe, or alter directionally

If you need to additional cases and variants.  Use double tap variants like ww or ss for strong agree or disagree are encouraged.

Put formulas and important stuff in code blocks in markdown so they can be copied.

데이터를 업로드하고 작업 내용을 확인한다.