Save Time with AI: Expert Qualitative Data Analysis Using ChatGPT πŸ€–

Discover how ChatGPT can streamline your qualitative data analysis. Join my free community for personalized support and tips to make your research faster and easier: https://shribe.eu/research-lab

Save Time with AI: Expert Qualitative Data Analysis Using ChatGPT πŸ€–
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29.1K views β€’ Dec 3, 2023
Save Time with AI: Expert Qualitative Data Analysis Using ChatGPT πŸ€–

About this video

πŸ‘‰ Do want personal support with your qualitative data analysis? Join my free community now: https://shribe.eu/research-lab

Is it possible to conduct a qualitative data analysis using ChatGPT?

Whether you do grounded theory, thematic analysis or content analysis, qualitative research methods remain quite popular.

Qualitative research is so well-regarded that it often becomes the go-to approach for student theses, particularly when analyzing interviews, social media posts, or other forms of qualitative data.

Unfortunately, this method is also incredibly labor-intensive. Sometimes, interview transcripts have to be evaluated word by word.

Wouldn't this be an ideal situation to seek assistance from ChatGPT?

πŸ“„ working paper by Zhang et al. (2023): https://arxiv.org/abs/2309.10771

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00:00 Intro
00:38 What is qualitative data analysis
02:13 Qualitative data analysis with ChatGPT
02:49 Step 1
03:23 Step 2
04:11 Step 3
05:13 Step 4
06:27 Step 5
07:13 Step 6
08:04 Step 7
08:57 Important things to keep in mind
11:29 Plagiarism and research ethics

Qualitative data analysis can be used to summarize or structure large amounts of qualitative data, i.e., interview transcripts, documents, or social media postings.

Summarizing means abstracting the content by forming categories, a process also known as "coding." You assign a "label" to small units of analysis, such as an answer to an interview question, and can thus present hundreds of pages of text in a single category system.

Summarizing also means that you don't know in advance what categories will emerge. This approach follows an inductive logic, from specific (the data) to general (the categories).

Structuring means assigning the content to pre-defined categories. These categories can, for example, be derived from the literature. This results in a so-called codebook that specifies when an analytical unit corresponds to a certain category.

Both tasks are extremely labor-intensive and repetitive.

That means they are tailor-made for artificial intelligence, or even better, for a language model like GPT.

So, how can we best integrate ChatGPT into the qualitative data analysis process? In the following, we'll look at 7 steps to turn ChatGPT into your personal research assistant.

This video is about:

Qualitative Data Analysis with ChatGPT, Qualitative Research with ChatGPT, Academia, Coding with ChatGPT

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Duration

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Published

Dec 3, 2023

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