Podcast
Questions and Answers
What is the most common source of evidence in research, and what two terms are used to refer to it?
What is the most common source of evidence in research, and what two terms are used to refer to it?
Individuals are the most common source of evidence, often called "participants" or "subjects."
What is the term used to refer to the collective group of individuals from whom data is collected?
What is the term used to refer to the collective group of individuals from whom data is collected?
A "sample."
In quantitative research, what are the two main types of sampling procedures?
In quantitative research, what are the two main types of sampling procedures?
What is a defining characteristic of probability sampling, and what is its goal?
What is a defining characteristic of probability sampling, and what is its goal?
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Define "margin of error" in sampling.
Define "margin of error" in sampling.
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What happens to the margin of error when the sample size increases?
What happens to the margin of error when the sample size increases?
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Name three types of random sampling techniques.
Name three types of random sampling techniques.
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How does simple random sampling work?
How does simple random sampling work?
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What is "non-response" in sampling?
What is "non-response" in sampling?
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What is systematic sampling?
What is systematic sampling?
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What is the purpose of stratified random sampling?
What is the purpose of stratified random sampling?
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How does cluster sampling work, and what are typical examples?
How does cluster sampling work, and what are typical examples?
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What is a defining characteristic of non-probability sampling?
What is a defining characteristic of non-probability sampling?
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How are participants chosen in non-random sampling, give one characteristic?
How are participants chosen in non-random sampling, give one characteristic?
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What is one major advantage of convenience sampling?
What is one major advantage of convenience sampling?
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What is a major disadvantage of both convenience and snowball sampling?
What is a major disadvantage of both convenience and snowball sampling?
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In qualitative studies, why are participants selected purposefully?
In qualitative studies, why are participants selected purposefully?
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What is "extreme case sampling" in qualitative research?
What is "extreme case sampling" in qualitative research?
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What are two types of hybrid approaches for mixed-method sampling?
What are two types of hybrid approaches for mixed-method sampling?
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What is one important criterion for evaluating a subjects section/sampling procedure?
What is one important criterion for evaluating a subjects section/sampling procedure?
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What is the broad purpose of a literature review?
What is the broad purpose of a literature review?
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How does a literature review help in placing a research problem in context?
How does a literature review help in placing a research problem in context?
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Why might researchers be less likely to use the most effective methods without a good literature review?
Why might researchers be less likely to use the most effective methods without a good literature review?
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What are some specific purposes of reviewing the literature (name 3)?
What are some specific purposes of reviewing the literature (name 3)?
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How does reviewing literature help refine a research problem?
How does reviewing literature help refine a research problem?
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How does a literature review help establish a study's conceptual or theoretical orientation?
How does a literature review help establish a study's conceptual or theoretical orientation?
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How can the review help researchers identify new directions and avoid duplication?
How can the review help researchers identify new directions and avoid duplication?
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How can the literature review help identify methodological limitations of existing research?
How can the literature review help identify methodological limitations of existing research?
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What is the significance of identifying contradictory findings in previous research?
What is the significance of identifying contradictory findings in previous research?
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When should existing theories be used to justify a research hypothesis?
When should existing theories be used to justify a research hypothesis?
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What is the first step in reviewing related literature?
What is the first step in reviewing related literature?
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Name three places to find databases.
Name three places to find databases.
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What is the difference between a primary and secondary source?
What is the difference between a primary and secondary source?
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What is a meta-analysis?
What is a meta-analysis?
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Why is it important to examine the methodology of meta-analyses?
Why is it important to examine the methodology of meta-analyses?
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In what way is it beneficial to take notes electronically or on index cards?
In what way is it beneficial to take notes electronically or on index cards?
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What are three things that should be included in notes about a primary source?
What are three things that should be included in notes about a primary source?
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What is one of the best sources for finding new articles to review?
What is one of the best sources for finding new articles to review?
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What does it mean to say a literature review is "thematic"?
What does it mean to say a literature review is "thematic"?
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What are three criteria for evaluating the review of literature?
What are three criteria for evaluating the review of literature?
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What are the three primary classifications of educational measures?
What are the three primary classifications of educational measures?
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Differentiate between cognitive and non-cognitive measures. Provide an example of each.
Differentiate between cognitive and non-cognitive measures. Provide an example of each.
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What is the distinction between commercially prepared and locally developed measures?
What is the distinction between commercially prepared and locally developed measures?
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Describe the difference between self-report measures and observations.
Describe the difference between self-report measures and observations.
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What are the three main characteristics used to differentiate types of tests?
What are the three main characteristics used to differentiate types of tests?
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Explain the difference between norm-referenced and criterion-referenced tests.
Explain the difference between norm-referenced and criterion-referenced tests.
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List and briefly describe three types of standardized tests. How are they structured?
List and briefly describe three types of standardized tests. How are they structured?
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What is the purpose of Likert scales in questionnaires? How are they structured?
What is the purpose of Likert scales in questionnaires? How are they structured?
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Define semantic differential scales and provide an example of their use.
Define semantic differential scales and provide an example of their use.
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What are the advantages and disadvantages of using questionnaires?
What are the advantages and disadvantages of using questionnaires?
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Explain the difference between low-inference and high-inference observations.
Explain the difference between low-inference and high-inference observations.
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Identify two challenges that can arise during high-inference observations.
Identify two challenges that can arise during high-inference observations.
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What strategies can reduce observer bias in observational research?
What strategies can reduce observer bias in observational research?
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What are the key characteristics of structured, semi-structured, and unstructured interview questions?
What are the key characteristics of structured, semi-structured, and unstructured interview questions?
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List three advantages and three disadvantages of using interviews as a data collection method.
List three advantages and three disadvantages of using interviews as a data collection method.
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Flashcards
Participants & Samples
Participants & Samples
Individuals providing data in research; a sample is the group of these individuals.
Quantitative Sampling
Quantitative Sampling
Selecting samples to represent a larger population for generalization.
Qualitative Sampling
Qualitative Sampling
Selecting information-rich participants for in-depth understanding.
Probability Sampling
Probability Sampling
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Simple Random Sampling
Simple Random Sampling
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Systematic Sampling
Systematic Sampling
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Stratified Random Sampling
Stratified Random Sampling
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Cluster Sampling
Cluster Sampling
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Margin of Error
Margin of Error
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Response Bias
Response Bias
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Non-Probability Sampling
Non-Probability Sampling
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Convenience Sampling
Convenience Sampling
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Purposive Sampling
Purposive Sampling
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Criterion Sampling
Criterion Sampling
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Thematic Analysis
Thematic Analysis
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Mixed-Method Sampling
Mixed-Method Sampling
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Validity in Research
Validity in Research
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Reliability in Research
Reliability in Research
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Interviews in Qualitative Research
Interviews in Qualitative Research
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Types of Interview Questions
Types of Interview Questions
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Hermeneutics
Hermeneutics
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Hermeneutic Circle
Hermeneutic Circle
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Fusion of Horizons
Fusion of Horizons
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Critical Hermeneutics
Critical Hermeneutics
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Research Ethics
Research Ethics
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Informed Consent
Informed Consent
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Qualitative Research
Qualitative Research
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Quantitative Research
Quantitative Research
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Applied Research
Applied Research
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Action Research
Action Research
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Study Notes
Core Concepts
- Participants and samples are the primary source of data. A sample is a group of individuals.
- Quantitative sampling aims for representative samples of a larger population, allowing generalization through statistics. Probability sampling creates random samples.
- Qualitative sampling concentrates on detailed information from participants, useful for in-depth understanding, employing non-probability samples analyzed with qualitative methods.
Quantitative Sampling Techniques
- Probability sampling uses random selection, where the probability of any individual being selected is known, permitting generalization.
- Simple random sampling: Each individual has an equal chance.
- Systematic sampling: Selects every nth member from a list.
- Stratified random sampling: Divides the population into subgroups (strata) and samples within those groups.
- Cluster sampling: Randomly selects pre-existing groups, then individuals within those.
- Margin of error: A measure of how well a sample represents a population; it decreases with larger sample sizes.
- Response bias: A possible skew in results if participants aren't representative of the original group chosen.
- Non-probability sampling: Selection where participant probability is not known, and researchers choose based on discretion.
- Convenience sampling: Using readily available participants.
- Quota sampling: Selecting participants non-randomly to fulfill a defined quota for a study.
Qualitative Sampling Techniques
- Purposive sampling: Selecting participants based on specific characteristics.
- Criterion sampling: Selecting individuals fulfilling predetermined criteria.
- Typical case sampling: Selecting a participant considered 'average'.
- Extreme case sampling: Selecting participants who are very different (outliers).
- Maximum variation sampling: Selecting diverse participants.
- Snowball sampling: Participants recommending other participants.
- Critical case sampling: Identifying cases that exemplify a phenomenon comprehensively.
Mixed-Method Sampling
- Combines quantitative and qualitative sampling methods.
- Stratified purposeful sampling: Selecting within previously stratified strata
- Purposeful random sampling: Randomly selecting some subjects from a previously defined stratum and then studying them purposefully.
- Concurrent sampling: Gathering both quantitative and qualitative data simultaneously.
- Multilevel sampling: Sampling different hierarchical levels (e.g., districts, schools).
Factors Affecting Sampling
- Volunteer samples: Potential bias due to volunteer differences compared to non-volunteers.
- Sample size: Guidelines like 30 subjects in correlational studies and 15 per group in experimental are mentioned for quantitative research.
- Participant motivation: Potential bias due to participant motivation to respond in specific ways.
- Sampling bias: Errors in sampling methods that can generate misleading results.
Criteria for Evaluating Sampling
- Clear participant descriptions (demographics, characteristics).
- Well-defined population.
- Clear descriptions of sampling procedures.
- Indicated response rate.
- Appropriate selection procedures.
- Adequate sample sizes.
- Clear descriptions of samples for various stages in mixed method studies.
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Description
Explore the core concepts and techniques of quantitative sampling in this quiz. Understand how different sampling methods, such as simple random and stratified sampling, contribute to data collection and analysis. Test your knowledge on the importance of representativeness and generalization in quantitative research.