What is the primary purpose of qualitative research?

• To test hypotheses using numerical data

• To understand human experiences and social phenomena

• To determine cause-and-effect relationships

• To create statistical models

Which qualitative research design focuses on exploring an individual's lived experiences?

• Ethnography

• Phenomenology

• Case Study

• Grounded Theory

In data collection, what method involves observing behaviors in a natural setting?

• Survey

• Interview

• Observation

• Content Analysis

What sampling technique is most appropriate for a study on hard-to-reach populations?

• Simple random sampling

• Snowball sampling

• Stratified sampling

• Systematic sampling

Grounded Theory is primarily used to:

• Generate new theories based on observed data

• Describe cultural practices

• Compare different case studies

• Analyze large sets of quantitative data

How does phenomenology differ from narrative inquiry?

• Phenomenology describes personal experiences, while narrative inquiry tells stories.

• Narrative inquiry is based on surveys, while phenomenology uses interviews.

• Phenomenology uses numbers, while narrative inquiry is qualitative.

• They are the same approach under different names.

Why is purposive sampling commonly used in qualitative research?

• It ensures a random selection of participants.

• It allows researchers to target individuals with relevant experiences.

• It provides a large sample for statistical analysis.

• It reduces researcher bias.

What is the significance of data saturation in qualitative research?

• It indicates that no new information is emerging from data collection.

• It ensures that enough participants are surveyed.

• It measures how reliable a survey instrument is.

• It compares qualitative and quantitative findings.

What does content analysis aim to achieve in qualitative research?

• Identify patterns and themes within textual data

• Quantify the number of words in a document

• Compare numerical values across different studies

• Summarize a participant’s experiences through storytelling

Why is data triangulation important in qualitative research?

• It ensures different methods and sources confirm findings

• It speeds up the research process

• It eliminates the need for participant validation

• It makes data collection easier