What is the first step in data gathering procedures for qualitative research?

Identifying the research question

What is the purpose of conducting interviews in qualitative research data gathering?

To gather in-depth information and insights from participants

To eliminate bias in the research findings

To quickly collect large amounts of quantitative data

To test a hypothesis and confirm a theory

Why is purposive sampling commonly used in qualitative research data gathering?

To select participants who can provide rich and diverse information related to the research question

To limit the number of participants for easier data analysis

To randomly select participants for unbiased results

To ensure all participants have a similar background

In qualitative research, what is the purpose of conducting observations as a data gathering method?

To directly observe behaviors, interactions, and contexts to gain a deeper understanding of the research topic

To gather opinions and attitudes through surveys

To manipulate variables and measure outcomes

To conduct experiments in controlled settings

What is the role of field notes in qualitative research data gathering?

To record detailed observations, reflections, and insights during the data collection process

To conduct statistical analysis on the collected data

To transcribe audio recordings for easier analysis

To create charts and graphs summarizing the data

What is the purpose of using open-ended questions in qualitative research data gathering?

To allow participants to express their thoughts, feelings, and experiences freely

To limit participants' responses to predefined options

To quantify responses for statistical analysis

To make data collection quicker and more efficient

What is the purpose of using thematic analysis in qualitative research data gathering?

To identify patterns, themes, and relationships within the collected data

To quantify numerical data for statistical analysis

To conduct experiments in controlled settings

To generalize findings to a wider population

What is the purpose of member checking in qualitative research data gathering?

To verify the accuracy and credibility of the findings by allowing participants to review and provide feedback on the researcher's interpretations

To recruit new participants for additional data collection

To exclude participants who provide contradictory information

To conduct a final analysis of the collected data

What is the purpose of using a semi-structured interview format in qualitative research data gathering?

To maintain flexibility while ensuring key topics are covered during the interview

To strictly adhere to a pre-determined set of questions

To limit participant responses to brief, closed-ended answers

To conduct interviews without any prior planning or preparation

What is the purpose of using a data saturation point in qualitative research data gathering?

To determine when enough data has been collected to adequately address the research question

To exclude outliers and extreme cases from the analysis

To limit the data collection process to a specific time frame

To prioritize certain types of data over others

Qualitative research how to do the data gathering procedures

When to use thematic analysis? Thematic analysis is a good approach to research where you’re trying to find out something about people’s views, opinions, knowledge, experiences or values from a set of qualitative data – for example, interview transcripts, social media profiles, or survey responses. Some types of research questions you might use thematic analysis to answer: • How do patients perceive doctors in a hospital setting? • What are young women’s experiences on dating sites? • What are non- experts’ ideas and opinions about climate change? • How is gender constructed in high school history teaching? To answer any of these questions, you would collect data from a group of relevant participants and then analyze it. Thematic analysis allows you a lot of flexibility in interpreting the data, and allows you to approach large data sets more easily by sorting them into broad themes. However, it also involves the risk of missing nuances in the data. Thematic analysis is often quite subjective and relies on the researcher’s judgement, so you have to reflect carefully on your own choices and interpretations. Pay close attention to the data to ensure that you’re not picking up on things that are not there – or obscuring things that are.

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