AI-Powered Qualitative Analysis in ATLAS.ti: A Complete Guide

AI-Powered Qualitative Analysis in ATLAS.ti: A Complete Guide

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AI-Powered Qualitative Analysis in ATLAS.ti: A Complete Guide
Discover how to leverage the AI functionalities in ATLAS.ti to streamline your qualitative data analysis. This tutorial walks you through setting up a project, using AI coding, intentional coding, and AI summaries. Learn how to apply AI tools ethically, understand their limitations, and still maintain control over your data analysis. Perfect for researchers looking to enhance their workflow using the latest AI-powered features in ATLAS.ti. Access to the data used: https://drive.google.com/file/d/1i0AIcEOSSuEcElV3DB-ZO8K7lAeQrYm3/view?usp=sharing Affiliate link: https://prf.hn/click/camref:1101l3Gyp9 To get 20% OFF use the promocode: drphilipadu20 Affiliate links Descript: https://get.descript.com/l9hgfy5ojsxr Descript AI is a powerful all-in-one content creation and editing platform that leverages artificial intelligence to streamline audio and video production workflows Originality.ai: https://originality.ai/ai-checker?via=drphilipadu Originality.ai is a powerful tool designed to detect AI-generated content and check for plagiarism. Atlas.ti: https://atlasti.com/?x-clickref=1011lzLyMKjF Promo Code: drphilipadu20 Atlas.ti is a powerful qualitative data analysis software used by researchers across various disciplines. Consensus https://bit.ly/consensusai Discount code (for 20% OFF): PHILIP20 Consensus is an AI-powered search engine designed specifically for academic research. Julius https://julius.ai/?via=philp (Affiliate link) Julius AI is an advanced data analysis and visualization tool designed to simplify complex data tasks. Ailyze promocode: Adu30 for 30% OFF! Don't miss out on this game-changing tool for researchers. https://www.ailyze.com/ Ailyze is an AI-powered tool designed for qualitative research and data analysis. 00:00 - Introduction to ATLAS.ti AI Functions 00:24 - Starting a New Project 00:59 - Importing Documents for Analysis 01:36 - Overview of AI Coding Features 03:49 - Reviewing AI-Generated Codes 04:11 - Understanding AI Coding Limitations 06:47 - Setting Up Intentional AI Coding 08:30 - Customizing Research Questions for Coding 10:10 - Exploring AI-Suggested Categories and Codes 12:42 - Applying and Reviewing AI Coding Results 13:46 - Exporting Codebook and Developing Themes 14:00 - Using AI Summaries for Quick Insights 15:18 - Final Thoughts on AI Integration in ATLAS.ti