Podcast
Questions and Answers
What is the main advantage of field studies compared to controlled experiments?
What is the main advantage of field studies compared to controlled experiments?
In a between-subjects design, how are participants assigned to conditions?
In a between-subjects design, how are participants assigned to conditions?
Which of the following is a characteristic of within-subjects designs?
Which of the following is a characteristic of within-subjects designs?
Which type of data involves analyzing existing data from primary sources?
Which type of data involves analyzing existing data from primary sources?
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What is a disadvantage typically associated with controlled experiments?
What is a disadvantage typically associated with controlled experiments?
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What does the term 'moderating variable' refer to in experimentation?
What does the term 'moderating variable' refer to in experimentation?
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Why is causality considered an advantage in experiments?
Why is causality considered an advantage in experiments?
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Which of the following statements is true about online data collection?
Which of the following statements is true about online data collection?
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What is social desirability bias?
What is social desirability bias?
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Which type of question allows respondents to answer in their own words?
Which type of question allows respondents to answer in their own words?
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What is a defining characteristic of between-subjects designs?
What is a defining characteristic of between-subjects designs?
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What characterizes a multichotomous question?
What characterizes a multichotomous question?
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Which of the following is NOT a pro of within-subjects designs?
Which of the following is NOT a pro of within-subjects designs?
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What is one potential threat to internal validity specific to within-subjects designs?
What is one potential threat to internal validity specific to within-subjects designs?
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Why are dichotomous questions useful in regression analysis?
Why are dichotomous questions useful in regression analysis?
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What type of scale is primarily centered around a rating system for attitudes or opinions?
What type of scale is primarily centered around a rating system for attitudes or opinions?
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Which of the following is a con of within-subjects designs?
Which of the following is a con of within-subjects designs?
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Which of the following is NOT a type of question mentioned related to asking questions properly?
Which of the following is NOT a type of question mentioned related to asking questions properly?
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What type of design involves comparing dependent variable measures between groups?
What type of design involves comparing dependent variable measures between groups?
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In which type of design do participants receive no treatment or a fake treatment?
In which type of design do participants receive no treatment or a fake treatment?
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What is a key feature of scales in questioning?
What is a key feature of scales in questioning?
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Which of the following questions would be classified as a dichotomous question?
Which of the following questions would be classified as a dichotomous question?
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What aspect does internal validity assess in a study?
What aspect does internal validity assess in a study?
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What is a common misconception about the duration of within-subjects designs?
What is a common misconception about the duration of within-subjects designs?
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What is the primary purpose of a Likert question?
What is the primary purpose of a Likert question?
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Which of the following is NOT a recommended practice for phrasing questions in surveys?
Which of the following is NOT a recommended practice for phrasing questions in surveys?
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What is a potential consequence of poor question phrasing in a survey?
What is a potential consequence of poor question phrasing in a survey?
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Measurement bias occurs when:
Measurement bias occurs when:
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Which of the following is an example of a double-barreled question?
Which of the following is an example of a double-barreled question?
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Which statement about sample size is a common misconception?
Which statement about sample size is a common misconception?
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Which statement about response levels in Likert questions is TRUE?
Which statement about response levels in Likert questions is TRUE?
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What is a common effect of using an improperly calibrated measurement tool?
What is a common effect of using an improperly calibrated measurement tool?
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What is a key factor to ensure the acceptance of a questionnaire?
What is a key factor to ensure the acceptance of a questionnaire?
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What should be avoided when designing questions for a questionnaire?
What should be avoided when designing questions for a questionnaire?
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Why is obtaining peer evaluations of a draft questionnaire important?
Why is obtaining peer evaluations of a draft questionnaire important?
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What is the difference between a population and a sample?
What is the difference between a population and a sample?
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In what order should questions typically be sequenced during a survey?
In what order should questions typically be sequenced during a survey?
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What characterizes probability samples?
What characterizes probability samples?
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What should be done if a question in the questionnaire does not provide adequate information?
What should be done if a question in the questionnaire does not provide adequate information?
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What is essential in the introduction or cover letter of a questionnaire?
What is essential in the introduction or cover letter of a questionnaire?
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Study Notes
External Sources of Data
- Involves analyzing existing data, often from primary sources
- Examples include periodicals, reports, field studies, experiments and online data.
Field Studies
- Researchers observe and measure variables in a natural setting
- Involves identifying and measuring relationships between independent and dependent variables.
- Involves identifying and measuring relationships between an independent variable and its influence on the dependent variable.
- Advantages: Observations are from real-world settings and data can reflect relationships between variables.
Experiments
- Researchers control and manipulate variables in a controlled setting
- Involves identifying the causal relationship between the variables
- Examines the effect of an independent variable on a dependent variable while controlling for other factors.
- Advantage: Can establish causality between variables.
- Disadvantage: Limited relevance to real-world situations
Types of Experiments
- Between-Subjects Designs: Participants are randomly assigned to different conditions (independent samples), each group experiences a different treatment.
- Within-Subjects Designs: Same participants experience all conditions (paired samples), participants are tested before and after independent variable treatments.
Rational for each design type
- Between-Subjects: At least one control group and one experimental group. Control groups receive no treatment or a placebo, while experimental groups receive the treatment being studied.
- Within-Subjects: No control groups. Participants are tested before (pretest) and after (posttest) independent variable treatments.
- Pros of Between-Subjects: Fewer threats from carryover effects (the influence of a previous condition on a subsequent one) and shorter duration.
- Cons of Between-Subjects: Requires more participants and individual differences may impact the validity of results
- Pros of Within-Subjects: Fewer participants and no individual differences across treatments.
- Cons of Within-Subjects: Longer duration (fatigue effects), Hawthorne effect - subjects altering their behavior knowing they are being observed.
Confound Effects:
- Occurs when an extraneous variable influences the relationship between independent and dependent variables.
- Example: Experiment on bottle elongation on perceived wine quality.
Asking the Questions Properly:
- Open-ended question: Respondents can answer in their own words, not limited to predetermined choices.
- Multichotomous question: Respondents choose from a set of specific alternatives.
- Dichotomous question: Respondents choose from two fixed alternatives.
- Scales: Respondents select their level of agreement or preference on a scale, typically Likert or Osgood scales.
Considerations for question phrasing:
- Use simple words
- Avoid ambiguous words and questions
- Avoid implicit assumptions
- Avoid generalizations and estimates
- Avoid double-barreled questions (questions asking two things at once)
Measurement Bias:
- Occurs when the method used to gather data systematically differs from the true value, such as using a faulty scale or biased questions.
- Potential sources: Poorly calibrated scales, biased questions, and social desirability bias (respondents answering in a way they think will impress others)
Sequencing the Questions:
- Questions are ordered strategically to facilitate a smooth and logical progression of the survey.
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Order:
- Presentation of the study: Introduce the purpose and scope of the survey.
- Introductory/opening questions: Establish rapport and gather basic information.
- Specific questions: Address the study's objective by testing the model.
- Identification: Gather demographic information.
Questionnaire Design:
- Physical characteristics: Appearance and overall presentation
- Acceptance: Clear presentation and a persuasive cover letter can encourage respondents to cooperate.
- Length: Short questionnaires are preferred over longer ones.
Questionnaire Pretest:
- Focus: To identify and resolve any confusing, ambiguous, offensive, or leading questions.
- Methods: Peer reviews and personal interviews with respondents
Sampling:
- Population: All observations of interest to the researcher.
- Sample: A representative portion of the population selected for the study.
Sampling Bias:
- Sampling bias occurs when the process of selection for the sample systematically excludes or overrepresents certain groups, impacting the representativeness of the results.
Size of Sample:
- Common misconception: A small sample compared to the population is not representative.
- Fact: Sample size depends on the desired level of precision and confidence in the results, regardless of population size.
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Description
This quiz explores various research methods used in data analysis, including external sources of data, field studies, and experiments. Understand the advantages and disadvantages of each method, as well as their applications in analyzing relationships between variables. Enhance your knowledge of how these methods are utilized in real-world settings.