Qualitative Research Methods Overview

This video explores six popular qualitative data analysis methods: content analysis, narrative analysis, discourse analysis, thematic analysis, grounded theory, and interpretive phenomenological analysis (IPA). It explains the differences between qualitative and quantitative data, and provides guidance on choosing the right method based on research aims and objectives. The video also highlights the strengths and limitations of each method, offering tips for effective analysis.

What is the primary focus of qualitative research?

• Mathematical models

• Financial data

• Words and descriptions

• Numbers and statistics

Which of the following is NOT a qualitative data analysis method mentioned in the video?

• Discourse Analysis

• Statistical Analysis

• Narrative Analysis

• Content Analysis

What is a key characteristic of content analysis?

• It evaluates patterns within content

• It focuses on numerical data

• It is used for financial forecasting

• It requires no specific research question

Narrative analysis is primarily concerned with:

• Analyzing statistical data

• Listening to and interpreting stories

• Creating financial reports

• Developing new software

Discourse analysis examines language within what context?

• Mathematical

• Social

• Financial

• Biological

Thematic analysis is useful for understanding:

• People's experiences and opinions

• Market trends

• Weather patterns

• Stock prices

What is the main goal of grounded theory?

• To predict future events

• To analyze financial data

• To develop new theories from data

• To confirm existing theories

In IPA, what is the primary focus?

• Personal experiences of subjects

• Statistical analysis

• Market analysis

• Predictive modeling

Which method is best for exploring personal experiences of rare events?

• Discourse Analysis

• Narrative Analysis

• IPA

• Content Analysis

What is a potential drawback of using grounded theory?

• It is not suitable for new topics

• It requires a large sample size

• It focuses only on numerical data

• It can be biased by existing theories