QUALITATIVE DATA ANALYSIS

It is the process of organizing, analyzing, and interpreting qualitative research data

• Descriptive Analysis

• Quantitative Data Analysis

• Qualitative Data Analysis

• Exploratory Data Analysis

Answer explanation

Qualitative data analysis (QDA) is the process of organizing, analyzing, and interpreting qualitative research data—non-numeric, conceptual information, and user feedback—to capture themes and patterns, answer research questions, and identify actions to improve your product or website.

It is a widely used method in qualitative data analysis that involves identifying, analyzing, and reporting patterns or themes within data.

• Grounded Data Analysis

• Thematic Data Analysis

• Narrative Data Analysis

• Content Data Analysis

Answer explanation

Thematic analysis is a widely used method in qualitative data analysis that involves identifying, analyzing, and reporting patterns or themes within data.

What is the advantage of Thematic Data Analysis?

• Lack of Clear Guidance

• Flexibility

• Potential for Research Bias

• Limited generalizability

Answer explanation

Flexibility is one of the advantage of Thematic Data Analysis because it's a versatile method that can be applied across a wide range of theoretical frameworks and research questionss

When to use thematic analysis?

• You need to identify patterns in data

• When you feel like it

• When you don't understand your research

• When someone say so

Answer explanation

The following scenarios warrant the use of thematic analysis:

• You’re new to qualitative analysis

• You need to identify patterns in data

• You want to involve participants in the process

It is a data-driven approach on thematic data analysis. It involves allowing the data to determine your themes.

• Latent Approach

• Semantic Approach

• Deductive Approach

• Inductive Approach

Answer explanation

An inductive approach involves allowing the data to determine your themes.