In this video, I discuss how to conduct content analysis, specifically focusing on developing codes and themes before analyzing the data. He also demonstrates how to use NVivo and ChatGPT to aid in the process.
Key points covered:
1. Understanding the importance of a conceptual or theoretical framework in content analysis.
2. Developing a code frame based on the framework and identifying themes and codes.
3. Using custom GPT models or ChatGPT to generate additional codes and themes.
4. Creating containers in NVivo to organize and analyze the data.
5. Exploring data metrics and comparing files and codes for a comprehensive analysis.
QualiCodeFrame (Assists in generating code frames from theories or frameworks for qualitative data analysis): [ Ссылка ]
0:00 Introduction to content analysis
0:44 Understanding the content analysis process
1:37 Selecting a model or theory for content analysis
3:08 Developing a Code Frame based on the chosen model
4:12 Understanding the components and elements of the model
5:31 Using Chat GPT for developing codes and themes
6:53 Using Chat GPT Plus for code frame generation
8:15 Initiating the coding process using NVivo
9:59 Uploading and analyzing the document in NVivo
10:48 Creating containers for themes and codes
12:15 Finalizing code and theme containers
12:47 Utility of thematic analysis knowledge in content analysis
13:28 Utilizing In Vivo for the coding process
14:15 Flexibility in creating new codes
16:15 Analyzing the document and identifying missing information
17:02 Extending the coding process to multiple files
18:44 Utilizing code metrics for analysis
19:25 Comparing files and codes in NVivo
20:26 Sorting and grouping codes for data reduction
21:33 Closing remarks and contact information
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▼MY RESEARCH METHODS BOOKS
▶ A Step-by-Step Guide to Qualitative Data Coding: [ Ссылка ]
▶ Dissertation Research Methods: A Step-by-Step Guide to Writing Up Your Research in the Social Sciences: [ Ссылка ]
▶ The Theoretical Framework in Phenomenological Research: [ Ссылка ]
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▼FREE DIGITAL DOWNLOADS
▶ Analyzing Qualitative data with ChatGPT: [ Ссылка ]
▶ ChatGPT Prompt Strategies: [ Ссылка ]
▶ Descript_PDF Download: [ Ссылка ]
▶ Ensuring Credibility and Usability of your Qualitative Findings: [ Ссылка ]
▶ Free Qualitative Data Analysis Software (QDAS): [ Ссылка ]
▶ Introduction to ChatGPT: [ Ссылка ]
▶ Making Sense of Unstructured Big Qualitative Data Using ChatGPT and NVivo: [ Ссылка ]
▶ Qualitative Analysis: Overview of NVivo: [ Ссылка ]
▶ Simple Techniques for Integrating Theoretical Frameworks in Qualitative Analysis Using NVivo: [ Ссылка ]
▶ The art of observation: [ Ссылка ]
▶ The long-standing power of waiting: [ Ссылка ]
▶ Types of mixed methods designs: [ Ссылка ]
▶ Types of program Evaluation: [ Ссылка ]
▶ Types of Qualitative Data Analysis: [ Ссылка ]
▶ Upscaling your Skill in Doing Qualitative Research: [ Ссылка ]
▶ Why is it important to conduct literature review: [ Ссылка ]
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▶ UPCOMING EVENTS: [ Ссылка ]
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▼CENTER FOR RESEARCH METHODS CONSULTING SERVICES
▶ One-on-one Methodology Consultation: [ Ссылка ]
▶ Webinars/Workshops ON QUALITATIVE RESEARCH: [ Ссылка ]
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▼WEBSITES, CONTACT INFORMATION AND SOCIAL MEDIA HANDLES
▶ Center for Research Methods Consulting: [ Ссылка ]
▶ Email: info@centerforresearchmethods.com
▶ Email: info@drphilipadu.com
▶ Philip Adu, PhD: Demystifying Research methodology: [ Ссылка ]
▶ Daily Qualitative Research Tips: [ Ссылка ]
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