Qualitative Research Quiz

interviews, focus groups, observations, document analysis, case studies

literature review

experiments

surveys

Phenomenology explores subjective experiences, while grounded theory develops theories based on data.

Phenomenology uses deductive reasoning, while grounded theory uses inductive reasoning.

Phenomenology aims to prove hypotheses, while grounded theory aims to describe phenomena.

Phenomenology focuses on quantitative data, while grounded theory focuses on qualitative data.

To ensure biased results

To protect participants' rights, confidentiality, and ensure research integrity.

To increase the cost of research

To limit the number of participants

Judgmental sampling, accidental sampling, voluntary sampling

Random sampling, stratified sampling, cluster sampling

Systematic sampling, haphazard sampling, biased sampling

Purposive sampling, snowball sampling, convenience sampling, theoretical sampling, and quota sampling.

These components are only relevant for quantitative research

They are unnecessary components that can be skipped in qualitative research

The review of literature, conceptual framework, and statement of the problem are interchangeable terms

These components help establish the context, theoretical basis, and research focus for the study.

Participant observation requires participants to fill out questionnaires, while in-depth interviews involve observing participants.

Participant observation focuses on analyzing secondary data sources, while in-depth interviews involve primary data collection.

Participant observation involves observing participants' behaviors in their natural environment, while in-depth interviews involve direct questioning of participants.

Participant observation involves conducting surveys with participants, while in-depth interviews involve observing participants.

Ignoring validity and reliability

Choosing the most expensive research design

Defining research question, selecting research design, determining sampling strategy, collecting and analyzing data, ensuring validity and reliability, reporting findings

Using a biased sampling strategy

Saturation in qualitative research sampling is the term used to describe the process of analyzing quantitative data.

Saturation in qualitative research sampling refers to the process of removing impurities from collected data.

Saturation in qualitative research sampling is the point at which new data no longer provide additional insights or information.

Saturation in qualitative research sampling means reaching the maximum sample size allowed by the research design.

Informed consent, confidentiality, avoiding harm, power dynamics, objectivity

Lack of funding

Data analysis

Participant recruitment

By conducting surveys with leading questions to confirm findings

By only including data that aligns with their initial hypotheses

By ignoring contradictory evidence and focusing only on supporting data

By employing methods such as member checking, peer debriefing, triangulation, and maintaining detailed documentation of the research process.