Podcast
Questions and Answers
What is a common source of error related to how the information is recorded during an interview?
What is a common source of error related to how the information is recorded during an interview?
- Data coding or computer entry errors (correct)
- Interviewee's interest in the research
- Poorly worded questions
- Misunderstanding on the part of the interviewer
Which of the following reasons may lead a respondent to decline participation in a survey?
Which of the following reasons may lead a respondent to decline participation in a survey?
- The respondent is busy but agrees to help
- The interviewer's approach is pleasant and inviting
- The respondent is enthusiastic about helping the researcher
- The purpose of the interview is unclear (correct)
Which aspect of structured interviews can help minimize variability in responses?
Which aspect of structured interviews can help minimize variability in responses?
- Allowing respondents to change their answers freely
- Providing multiple personal discussion points
- Relying on closed questions (correct)
- Using open-ended questions exclusively
What is an important consideration when designing self-completion questionnaires?
What is an important consideration when designing self-completion questionnaires?
Why might interviewers use closed questions in structured interviews?
Why might interviewers use closed questions in structured interviews?
What is the primary characteristic of a Simple Random Sample?
What is the primary characteristic of a Simple Random Sample?
Which sampling method requires dividing the population into groups based on specific characteristics?
Which sampling method requires dividing the population into groups based on specific characteristics?
What is a potential drawback of increasing sample size in research?
What is a potential drawback of increasing sample size in research?
Which factor is NOT considered crucial when determining sample size?
Which factor is NOT considered crucial when determining sample size?
In systematic sampling, what is essential for selecting the sample?
In systematic sampling, what is essential for selecting the sample?
What distinguishes Multi-stage Cluster Sampling from other sampling methods?
What distinguishes Multi-stage Cluster Sampling from other sampling methods?
When should probability sampling methods be prioritized in research?
When should probability sampling methods be prioritized in research?
Which sampling method involves selecting every nth member of the population after numbering them?
Which sampling method involves selecting every nth member of the population after numbering them?
What is a characteristic of non-probability sampling techniques?
What is a characteristic of non-probability sampling techniques?
Which stage involves assessing whether the survey instrument functions as intended before full deployment?
Which stage involves assessing whether the survey instrument functions as intended before full deployment?
Which of the following best describes a structured interview?
Which of the following best describes a structured interview?
What is a critical skill required to analyze data effectively?
What is a critical skill required to analyze data effectively?
Which of the following is NOT a data collection method mentioned?
Which of the following is NOT a data collection method mentioned?
What is the primary goal of administering a survey?
What is the primary goal of administering a survey?
Which statement about respondent motivation is accurate?
Which statement about respondent motivation is accurate?
Which resource is essential when preparing the survey instrument?
Which resource is essential when preparing the survey instrument?
What is a primary benefit of using online surveys?
What is a primary benefit of using online surveys?
What is the main focus of quota sampling in research?
What is the main focus of quota sampling in research?
Flashcards
Simple Random Sample
Simple Random Sample
A sampling method where each member of the population has an equal chance of being selected, and selections are independent of each other.
Systematic Sample
Systematic Sample
A sampling method that selects every nth unit from a list. The first unit is chosen randomly.
Stratified Random Sample
Stratified Random Sample
Dividing the population into groups (strata) based on characteristics, then randomly sampling from each group.
Multi-stage Cluster Sampling
Multi-stage Cluster Sampling
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Sampling Frame
Sampling Frame
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Population
Population
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Sample Size
Sample Size
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Generalizability
Generalizability
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Non-Probability Sampling
Non-Probability Sampling
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Snowball Sampling
Snowball Sampling
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Convenience Sampling
Convenience Sampling
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Quota Sampling
Quota Sampling
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Survey Design
Survey Design
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Pilot-testing
Pilot-testing
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Structured Interview
Structured Interview
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Survey Administration
Survey Administration
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Data Analysis
Data Analysis
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Data Reporting
Data Reporting
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Interviewee Error
Interviewee Error
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Interviewer Error
Interviewer Error
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Closed Questions
Closed Questions
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Respondent Motivation
Respondent Motivation
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Self-Administered Questionnaire
Self-Administered Questionnaire
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Study Notes
Structured Interviewing and Surveys
- Topic: Structured interviews and surveys
- Types of surveys discussed: self-completion questionnaires (online or by post), standardized interviews (face-to-face or telephone, CATI)
- Sampling is crucial for generalizability
- Need to define population and sample
- Probability and non-probability sampling techniques are discussed
- Types of probability sampling:
- Simple random sample
- Systematic sample
- Stratified random sample
- Multi-stage cluster sample
- Factors to consider when determining sample size: time, cost, heterogeneity of the population, non-response
- Issues in probability sampling: high-quality sampling procedures are vital to make inferences
- Types of non-probability sampling:
- Convenience sampling
- Quota sampling
- Snowball sampling
- Stages in a survey:
- Design survey, prepare survey instrument, pilot-test survey instrument, administering survey (paper, postage, computer), organize data, analyze data, report results
- Specific skills and resources needed for each stage are noted (e.g., questionnaire expert, software, interviewers, programmer)
- Design survey, prepare survey instrument, pilot-test survey instrument, administering survey (paper, postage, computer), organize data, analyze data, report results
- Structured interview characteristics:
- Standardized interview format
- Same context and stimulus for all interviewees
- Aims to aggregate responses
- Often uses pre-coded questions
Sources of Error
- Poorly worded questions
- Interviewee misunderstandings
- Interviewee memory problems
- Poor record keeping by the interviewer
- Data coding errors
Processing the Information
- Structured interviews use closed questions
- Respondents have limited answer options (tick the box)
- Closed questions reduce interviewer variability
- Open-ended questions can be challenging to interpret and code
Respondent Participation
- Factors influencing participant involvement:
- Interest in the project
- Desire to be heard/important
- Contributing to the community
- Politeness
- Time availability
- Factors influencing non-participation:
- Lack of interest in the project
- Disagreement with the research objective
- Unpleasant interviewer
- Lack of time
- Unsure about the purpose of the interview
Self-Completion Questionnaires
- Types of self-administered questionnaires: post, email, social media.
- Questionnaires need clear instructions because there's no interviewer present
- Self-completion questionnaires often have:
- Closed questions
- Easy-to-follow design
- Limited pages. Length depends on method (paper or online)
Advantages of Self-completion questionnaires
- Cheap (especially online)
- Quick to administer
- Absence of interviewer effects
- Convenient for respondents
Disadvantages of Self-completion questionnaires
- Unable to prompt or probe if respondents have trouble with questions
- No way to probe respondents for more information
- Limited in types of questions possible
- Respondents may discard, or click out of the survey if not interested
- Relatively small numbers of questions can be asked
- Requires respondent to read and understand form
Lower Response Rates
- Response rates matter because respondents may differ from non-respondents
- Low response rates can lead to biased samples
- Steps to improve response rates are given
Design Issues
- Clear phrasing and formatting
- Consistent style in instructions
- Questions and answers together
- Balanced Likert scales (if used)
Wording of Questions
- Simple language
- Short questions
- Avoid double-barreled questions
- Remove leading questions
- Avoid negative questions
- Assure correct understanding of question terminology
- Avoid misleading or ambiguous questions
- Adjust frame of reference for clarity
- Avoid overly detailed or objectionable phrasing
Negative Questions
- Examples of questions phrased in a negative form
Constructing Questions (Types of Questions)
- Questions about behavior
- Questions about beliefs
- Questions about attitudes
- Questions about attributes (e.g., demographics)
Types of Questions (Open)
- Allow for diverse responses
- Useful for exploring new areas or subjective experiences
- Increasingly used due to AI tools
Types of Questions (Closed)
- Easier to process
- Answers more comparable
- Closed question options help clarify questions
- Reduces variability in interpretation of responses
Likert scales
- 5-point rating scale (strongly disagree to strongly agree)
Choosing between Closed and Open Questions
- Use closed questions as a first question in a series to identify issue awareness
- Use open-ended questions to get more detailed opinions or understand reasoning
- Closed questions are useful to collect detailed information on specific aspects of an issue
Evaluating Questions
- Check for redundancy and consistency
- Consider mix of question types for balance
- Evaluate and adjust Likert scales if needed
References (Citations)
- Citations for various research methods books and articles are provided
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Description
This quiz explores the methods and techniques of structured interviewing and surveys, emphasizing the importance of sampling for generalizability. Learn about various sampling methods, including both probability and non-probability techniques, and the stages involved in conducting a successful survey. Test your understanding of survey design, administration, and data organization.