Which of the following methods is NOT typically used for qualitative analysis?

In the context of qualitative analysis, the focus is on understanding and interpreting non-numerical data, which emphasizes insights, themes, and patterns derived from subjective experiences rather than quantifiable metrics. Among the methods listed, linear regression stands out as a statistical technique primarily associated with quantitative analysis.

Linear regression is used to model the relationship between a dependent variable and one or more independent variables through mathematical equations. It relies heavily on numerical data and aims to provide predictions based on statistical relationships. Conversely, surveys, brainstorming sessions, and subjective judgment collect and analyze non-numerical data, focusing on opinions, ideas, and feelings rather than measurable characteristics. Thus, linear regression is not commonly utilized in qualitative analysis, making it the correct answer in this scenario.