Questions and Answers
What is the primary purpose of Purposeful Sampling in qualitative research?
Quantitative data collection involves selecting participants randomly to generalize findings.
True
Name one strategy used in Purposeful Sampling.
Extreme Case Sampling or Typical Sampling or Critical Sampling or Homogeneous Sampling or Maximal Variation Sampling
_________ Sampling is where researchers intentionally select individuals for their information richness.
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Match the following sampling strategies with their intended outcomes:
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Which of the following is NOT a purpose of collecting qualitative data?
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Administering data collection in qualitative research should be done with sensitivity.
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What is the first step in collecting qualitative data?
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What is the purpose of random quantitative sampling?
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Purposeful sampling selects individuals randomly regardless of their relevance to the study.
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What is the first step involved in collecting qualitative data?
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The strategy of ___ sampling focuses on unique or exceptional cases to gather deeper insights.
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Match the purposeful sampling strategies with their intents:
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Which of the following is NOT a purpose of qualitative sampling?
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Qualitative data collection requires the design of open-ended questions.
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What is the aim of purposeful sampling?
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Study Notes
Data Collection Categories
- Two main types of data collection: Quantitative and Qualitative.
Steps for Collecting Qualitative Data
- Identify participants and specific sites for research.
- Obtain permission to ensure greater access for data collection.
- Design open-ended questions to facilitate in-depth responses.
- Utilize a self-designed protocol with audio or video recording capabilities.
- Administer data collection with sensitivity and consideration for participants' feelings.
Quantitative Sampling
- Random sampling is key for quantitative research to generalize findings from a sample to the overall population.
- Enables researchers to make claims and build or test theories regarding the population.
Qualitative Sampling
- Purposeful sampling focuses on selecting individuals or sites that provide insights into the phenomenon under study.
- Aims to develop a detailed understanding of experiences, contributing useful information, and amplifying the voices of marginalized groups.
Purposeful Sampling in Qualitative Research
- Researchers intentionally choose participants based on criteria that ensure rich information is gathered.
- Can apply to both individuals and specific sites relevant to the study.
Purposeful Sampling Strategies
- Develop diverse perspectives and illuminate troublesome cases through specific sampling techniques.
- Include strategies such as Extreme Case Sampling (studying outliers), Typical Sampling (describing common cases), and Critical Sampling (focusing on significant cases).
Additional Purposeful Strategies
- Maximal Variation Sampling: Ensures a wide range of views by selecting diverse cases.
- Snowball Sampling: Involves current participants recruiting future subjects to build a larger sample.
- Opportunistic Sampling: Selects subjects based on emerging opportunities during research.
Types of Qualitative Data
- Observations, interviews, and questionnaires as primary collection methods.
- Includes audiovisual materials, field notes, and drawings.
- Data can be gathered from unstructured texts, photographs, videotapes, and various records (public and private).
- Comprises transcripts from open-ended interviews and focus group discussions for in-depth qualitative analysis.
Data Collection Categories
- Two main types of data collection: Quantitative and Qualitative.
Steps for Collecting Qualitative Data
- Identify participants and specific sites for research.
- Obtain permission to ensure greater access for data collection.
- Design open-ended questions to facilitate in-depth responses.
- Utilize a self-designed protocol with audio or video recording capabilities.
- Administer data collection with sensitivity and consideration for participants' feelings.
Quantitative Sampling
- Random sampling is key for quantitative research to generalize findings from a sample to the overall population.
- Enables researchers to make claims and build or test theories regarding the population.
Qualitative Sampling
- Purposeful sampling focuses on selecting individuals or sites that provide insights into the phenomenon under study.
- Aims to develop a detailed understanding of experiences, contributing useful information, and amplifying the voices of marginalized groups.
Purposeful Sampling in Qualitative Research
- Researchers intentionally choose participants based on criteria that ensure rich information is gathered.
- Can apply to both individuals and specific sites relevant to the study.
Purposeful Sampling Strategies
- Develop diverse perspectives and illuminate troublesome cases through specific sampling techniques.
- Include strategies such as Extreme Case Sampling (studying outliers), Typical Sampling (describing common cases), and Critical Sampling (focusing on significant cases).
Additional Purposeful Strategies
- Maximal Variation Sampling: Ensures a wide range of views by selecting diverse cases.
- Snowball Sampling: Involves current participants recruiting future subjects to build a larger sample.
- Opportunistic Sampling: Selects subjects based on emerging opportunities during research.
Types of Qualitative Data
- Observations, interviews, and questionnaires as primary collection methods.
- Includes audiovisual materials, field notes, and drawings.
- Data can be gathered from unstructured texts, photographs, videotapes, and various records (public and private).
- Comprises transcripts from open-ended interviews and focus group discussions for in-depth qualitative analysis.
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Description
Explore the two main types of data collection methods in research: quantitative and qualitative. This quiz covers important steps involved in gathering qualitative data, including identifying participants, obtaining permissions, and designing effective questions. Test your understanding of these essential research methodologies.
