Скачать с ютуб Qualitative Data Analysis with ChatGPT (extremely time-saving) 🤖 🔥 в хорошем качестве

Qualitative Data Analysis with ChatGPT (extremely time-saving) 🤖 🔥

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? 📄 working paper by Zhang et al. (2023): https://arxiv.org/abs/2309.10771 🤖🤖🤖 Get 20% off Jenni AI with my Code SHRIBE20 🤖🤖🤖 Find out more: shribe.eu/jenni ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🔔 subscribe to my channel NOW: ► http://shribe.eu/subscribe ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🤓 read the blog article related to this video: ► http://shribe.eu/qualitative-data-ana... ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 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 *Partner-Link #shribe