Leveraging ChatGPT for Effective Research Design and Data Analysis — An Example with Research on Short Video Addiction

Abstract

Artificial intelligence, particularly advanced models like ChatGPT, offers significant enhancements in data processing efficiency, decision-making velocity, and precision across various domains. This study explores the transformative potential of ChatGPT within mixed methods research, emphasizing its integration into the exploratory sequential design against a backdrop of increasing reliance on AI in academic settings. Focusing on short video addiction as a research topic, this research employed ChatGPT to develop a qualitative research framework and refine interview outlines before utilizing it to design quantitative research instruments informed by qualitative insights. Results indicate that ChatGPT not only streamlined data collection, analysis, and interpretation but also emphasized the need for human oversight to interpret AI outputs and ensure data privacy. Conclusively, while ChatGPT significantly enhances the efficiency and depth of research methodologies, it also highlights the challenges of maintaining ethical standards and methodological integrity. Continuous refinement and responsible integration of AI tools like ChatGPT are essential to advance methodological sophistication and ensure the reliability of research findings.

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