From methodology to data analysis: Prospects for the n = 1 intrasubject design

Area of Science:

• Cognitive Psychology
• Research Methodology

Background:

• Single-subject studies are valuable for understanding cognitive processes.
• Systematic self-observation offers insights into subjective experience.

Purpose of the Study:

• To present methods for analyzing data from single-subject factorial designs.
• To illustrate the application of these methods with research examples.
• To highlight the relevance for black-box research and cognitive process tracing.

Main Methods:

• The study discusses data analysis techniques for factorial designs in n=1 research.
• Examples from the author's research are provided to demonstrate the methodology.

Main Results:

• The article details how to effectively analyze data from n=1 factorial studies.
• It shows the utility of these methods for diverse research aims.

Conclusions:

• The presented analytical approaches are crucial for advancing single-subject research.
• These methods enhance the ability to trace cognitive processing and subjective experience.