Qualitative Research

What are some common data collection methods used in qualitative research?

• case studies

• surveys

• interviews, focus groups, observations, document analysis

• experiments

Explain the difference between inductive and deductive data analysis techniques.

• Inductive reasoning is more objective compared to deductive reasoning.

• The main difference between inductive and deductive data analysis techniques is the direction of reasoning: inductive reasoning moves from specific observations to general principles, while deductive reasoning moves from general principles to specific observations.

• Inductive reasoning starts with general principles and moves to specific observations.

• Deductive reasoning is used for qualitative data analysis, while inductive reasoning is used for quantitative data analysis.

Name three types of research designs commonly used in qualitative research.

• Experimental Design

• Survey Research

• Phenomenology, Ethnography, Case Study

• Grounded Theory

How can researchers interpret qualitative data effectively?

• Provide vague descriptions without identifying any patterns or themes

• Ignore the data and focus on quantitative analysis only

• Use random sampling techniques to select data for interpretation

• Thoroughly analyze the data, identify patterns and themes, use coding techniques, and provide rich descriptions of the findings.

What is the purpose of conducting interviews in qualitative research?

• To confuse researchers with irrelevant data

• To waste time and resources

• To gather in-depth insights and understand the 'why' behind behaviors or attitudes.

• To sell products to participants

Describe the process of thematic analysis in qualitative research.

• Thematic analysis involves counting occurrences of words in data

• Thematic analysis focuses on quantitative data analysis

• Thematic analysis in qualitative research involves identifying, analyzing, and reporting patterns (themes) within data.

• Thematic analysis is only used in experimental research

What is the role of triangulation in qualitative data analysis?

• Ensuring credibility and reliability of findings

• Increasing the complexity of the findings

• Creating bias in the analysis

• Reducing the amount of data collected

How can researchers ensure the credibility of their qualitative research findings?

• Using only one data collection method

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

• Ignoring feedback from participants

• Not documenting the research process

Discuss the concept of saturation in qualitative data collection.

• Saturation in qualitative data collection is the point at which new data no longer brings additional insights or information to the research.

• Saturation is only applicable to quantitative data collection, not qualitative

• Saturation refers to the point where qualitative data becomes too complex to analyze

• Saturation is the process of diluting qualitative data with irrelevant information

Explain the importance of reflexivity in qualitative research.

• Ignoring reflexivity leads to more accurate research outcomes

• Researchers should only focus on the participants' biases, not their own

• Reflexivity in qualitative research is important for researchers to acknowledge and address their own biases, assumptions, and preconceptions that may impact the research process and findings.

• Reflexivity in qualitative research is not necessary and can be ignored