Podcast
Questions and Answers
What is a recommended approach when asking questions about sensitive topics?
What is a recommended approach when asking questions about sensitive topics?
- Ask leading questions to clarify opinions.
- Use complex jargon to sound more professional.
- Include opinionated language to steer responses.
- Make them non-threatening to encourage honesty. (correct)
Which type of questions are more suited for exploratory research?
Which type of questions are more suited for exploratory research?
- Closed-ended questions.
- Open-ended questions. (correct)
- Leading questions.
- Double-barreled questions.
Why is it important to avoid ambiguous wording in questions?
Why is it important to avoid ambiguous wording in questions?
- To confuse respondents intentionally.
- To create more complex surveys.
- To guarantee all respondents interpret questions identically. (correct)
- To ensure responses are easily comparable.
What is a key characteristic of closed-ended questions?
What is a key characteristic of closed-ended questions?
Which of the following is an example of a leading question?
Which of the following is an example of a leading question?
What is a consequence of using double-barreled questions?
What is a consequence of using double-barreled questions?
What should response categories for closed-ended questions ensure?
What should response categories for closed-ended questions ensure?
What is the main benefit of using open-ended questions?
What is the main benefit of using open-ended questions?
What is a characteristic of dichotomous questions?
What is a characteristic of dichotomous questions?
Which type of questions allow respondents to select multiple answers?
Which type of questions allow respondents to select multiple answers?
In which type of survey question do respondents only answer if they meet certain criteria?
In which type of survey question do respondents only answer if they meet certain criteria?
What is a funnel pattern in survey design?
What is a funnel pattern in survey design?
What is the main purpose of matrix questions in surveys?
What is the main purpose of matrix questions in surveys?
Why is it important to group related questions in a survey?
Why is it important to group related questions in a survey?
Which of the following is NOT a type of question mentioned?
Which of the following is NOT a type of question mentioned?
What characteristic defines a contingency question?
What characteristic defines a contingency question?
What is the first step to analyze data after identifying its level of measurement?
What is the first step to analyze data after identifying its level of measurement?
Which of the following is NOT a technique for analyzing quantitative data?
Which of the following is NOT a technique for analyzing quantitative data?
Why is it beneficial to have two persons work together during data entry?
Why is it beneficial to have two persons work together during data entry?
What is the purpose of data transformation in data management?
What is the purpose of data transformation in data management?
What does data cleansing involve?
What does data cleansing involve?
Which of the following best describes qualitative data analysis?
Which of the following best describes qualitative data analysis?
Which step should precede formal qualitative data analysis?
Which step should precede formal qualitative data analysis?
What is the maximum number of observations that can be stored in Microsoft Excel?
What is the maximum number of observations that can be stored in Microsoft Excel?
What is the primary purpose of placing easy-to-answer questions at the beginning of a questionnaire?
What is the primary purpose of placing easy-to-answer questions at the beginning of a questionnaire?
Which of the following best describes 'response bias'?
Which of the following best describes 'response bias'?
Why is pre-testing a questionnaire important?
Why is pre-testing a questionnaire important?
What is one recommended method for testing a questionnaire?
What is one recommended method for testing a questionnaire?
Which element is NOT essential when designing a questionnaire?
Which element is NOT essential when designing a questionnaire?
What kind of layout should a questionnaire ideally have?
What kind of layout should a questionnaire ideally have?
What is one objective of conducting a survey?
What is one objective of conducting a survey?
Which of the following is NOT a method for gathering data in a questionnaire?
Which of the following is NOT a method for gathering data in a questionnaire?
What is a primary ethical concern associated with covert observation?
What is a primary ethical concern associated with covert observation?
What is one of the main advantages of overt observation?
What is one of the main advantages of overt observation?
Which of the following is a disadvantage of overt observation?
Which of the following is a disadvantage of overt observation?
How does covert observation benefit researchers?
How does covert observation benefit researchers?
What does observational data primarily provide researchers?
What does observational data primarily provide researchers?
Which type of observation raises immediate ethical issues?
Which type of observation raises immediate ethical issues?
What is a key characteristic of systematic observation?
What is a key characteristic of systematic observation?
In what situation would covert observation likely be required?
In what situation would covert observation likely be required?
What is a major advantage of direct observation?
What is a major advantage of direct observation?
Which of the following describes a weakness of indirect observation?
Which of the following describes a weakness of indirect observation?
How can researcher bias impact the effectiveness of behavioral observations?
How can researcher bias impact the effectiveness of behavioral observations?
How is motivation inferred in behavioral observational data?
How is motivation inferred in behavioral observational data?
In the context of behavioral observation, what is a limitation of direct observation?
In the context of behavioral observation, what is a limitation of direct observation?
What does indirect observation primarily rely on to assess behaviors?
What does indirect observation primarily rely on to assess behaviors?
What might be a reason why seasoned professionals still experience researcher bias?
What might be a reason why seasoned professionals still experience researcher bias?
Why is observing trash left after student lunches considered an indirect observation?
Why is observing trash left after student lunches considered an indirect observation?
Flashcards
Avoid Leading Questions
Avoid Leading Questions
Questions that subtly influence a respondent's answer by suggesting a particular viewpoint.
Closed-Ended Questions
Closed-Ended Questions
Questions that limit responses to specific options, making data analysis easier.
Open-Ended Questions
Open-Ended Questions
Questions that allow for detailed and elaborate responses, providing rich data.
Non-Threatening Questions
Non-Threatening Questions
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Question Clarity
Question Clarity
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Double-Barreled Questions
Double-Barreled Questions
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Exhaustive Response Options
Exhaustive Response Options
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Mutually Exclusive Options
Mutually Exclusive Options
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Dichotomous Questions
Dichotomous Questions
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Multiple-Response Questions
Multiple-Response Questions
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Matrix Questions
Matrix Questions
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Contingency Questions
Contingency Questions
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Funnel Pattern
Funnel Pattern
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Inverted Pattern
Inverted Pattern
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Question Grouping
Question Grouping
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Survey Design
Survey Design
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Behavioral Observation
Behavioral Observation
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Direct Observation
Direct Observation
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What does direct observation offer?
What does direct observation offer?
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What is a drawback of direct observation?
What is a drawback of direct observation?
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Indirect Observation
Indirect Observation
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What is an advantage of indirect observation?
What is an advantage of indirect observation?
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What is a limitation of indirect observation?
What is a limitation of indirect observation?
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Researcher Bias
Researcher Bias
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Response Bias
Response Bias
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Pre-testing Questionnaire
Pre-testing Questionnaire
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Thinking Out Loud
Thinking Out Loud
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Hesitations or Mistakes
Hesitations or Mistakes
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Clear and Uncluttered Format
Clear and Uncluttered Format
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Introduction and Instructions
Introduction and Instructions
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Physical Aspects of Questionnaire
Physical Aspects of Questionnaire
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Survey's Purpose
Survey's Purpose
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Data Tabulation
Data Tabulation
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Data Descriptives
Data Descriptives
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Data Disaggregation
Data Disaggregation
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Data Transformation
Data Transformation
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Data Cleansing
Data Cleansing
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Qualitative Analysis Process
Qualitative Analysis Process
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Getting to Know the Data
Getting to Know the Data
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Formal Systems for Qualitative Data Analysis
Formal Systems for Qualitative Data Analysis
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Covert Observation
Covert Observation
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Overt Observation
Overt Observation
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Ethical Issues in Covert Observation
Ethical Issues in Covert Observation
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Benefits of Covert Observation
Benefits of Covert Observation
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Advantages of Overt Observation
Advantages of Overt Observation
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Disadvantages of Overt Observation
Disadvantages of Overt Observation
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Purpose of Observation
Purpose of Observation
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Types of Observation
Types of Observation
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Study Notes
Questionnaire Design
- A questionnaire is a written document with questions designed to collect firsthand information for analysis
- A well-designed questionnaire encourages accurate and complete responses, crucial for achieving the survey's objectives
- Survey research: collecting data from a sample of individuals through their responses to questions or statements
- Respondent: a person providing data in a survey
- A questionnaire should be anchored on the research problem
- A questionnaire shouldn't include every question that comes to mind
- Likert-scale questions are best for measuring opinions or feelings
- Avoid appealing solely to respondents' emotions when creating questions
- Question arrangement matters; it should logically lead the respondent to provide the required information
- Multiple-choice questions (closed-ended) are efficient for gathering data
- Testing and revising questionnaires is essential, like fitting a tailored dress to a customer
- Question wording is critical; keep questions short, simple, and unambiguous. Avoid leading questions or bias.
Question Wording
- Write short, simple questions; respondents may not fully understand complex ones, so provide clear, concise items that won't be misinterpreted
- Avoid leading questions. This means avoid wording that steers the respondent towards a specific answer or opinion.
- Questions should be non-threatening and should aim to elicit truthful responses
- Avoid ambiguous language like 'usual', 'regular', or 'normal', and clearly define any special terms used
- Make sure questions are understandable to everyone (define terms, ask questions in logical order)
- Avoid double-barreled questions; one question should only have one concept or idea.
Types of Questions
- Open-ended questions allow detailed, in-depth responses. They are useful for exploration and collecting rich data
- Closed-ended questions offer a standardized set of choices, allowing for easier data analysis. Key examples include: Likert scale, multiple choice, rating scales, ranking, dichotomous, and matrix questions.
Testing and Revising
- Pre-test the questionnaire with a small group from the target population to identify any ambiguities or issues with the questions.
- Note respondent's feedback during pre-testing and modify the questionnaire accordingly.
Methods of Gathering Data
- Conducting a survey can occur through email, telephone, or personal interviews
- Observation involves watching and recording behavior in a natural setting. This method can be useful when studying or recording natural behaviors
- Experiments split participants randomly into control and experimental groups. By manipulating a variable, the researcher evaluates the effect.
Data Analysis
- Data analysis validates research and provides a theoretical foundation
- Qualitative and quantitative analyses interpret data
- Steps for preparing quantitative data include: data preparation, validation, editing, coding, and data entry.
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