Sensitive Data Protection and Research Methods
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Questions and Answers

What is a potential drawback of averaging across stimuli?

  • It may hide differences between the stimuli. (correct)
  • It can reveal differences between stimuli.
  • It only applies to visual stimuli.
  • It enhances perception of individual stimuli.
  • Why is stimulus sampling particularly important?

  • It helps individuals ignore variations within a category.
  • It is necessary if individuals are aware of variations within a category. (correct)
  • It allows for repeated measures of stimuli.
  • It ensures uniformity of responses in experiments.
  • Which statement best summarizes the impact of averaging on categorization?

  • Averaging enhances the understanding of categories.
  • Averaging is always beneficial for making categorical distinctions.
  • Averaging is irrelevant when individuals are unaware of category variations.
  • Averaging can obscure important differences that define categories. (correct)
  • What happens if individuals recognize differences among stimuli in a category?

    <p>Stimuli sampling becomes crucial for accurate assessment.</p> Signup and view all the answers

    Which of the following is a consequence of not considering stimulus variations?

    <p>Potential misinterpretation of the category as homogeneous.</p> Signup and view all the answers

    Which type of data is considered sensitive and requires stronger protection?

    <p>Health data</p> Signup and view all the answers

    What term is used to describe the misuse of research methods to achieve statistically significant results?

    <p>p-hacking</p> Signup and view all the answers

    Which of the following is NOT considered sensitive personal data?

    <p>Financial status</p> Signup and view all the answers

    Which of the following categories is included under sensitive personal data that needs stronger protection?

    <p>Religion</p> Signup and view all the answers

    What is the threshold for achieving statistical significance in research as mentioned in the context?

    <p>$p ext{ &lt; } .05$</p> Signup and view all the answers

    What type of research design is best suited for testing causal relationships?

    <p>Experimental designs</p> Signup and view all the answers

    In a study investigating why certain groups in society are not following coronavirus measures, which research design should be employed?

    <p>Correlational design</p> Signup and view all the answers

    Why is random assignment important in experimental designs?

    <p>It eliminates individual differences between participants.</p> Signup and view all the answers

    What is the main consideration when choosing between correlational and experimental designs?

    <p>The specific research question being addressed.</p> Signup and view all the answers

    What aspect of social behavior was tested in an experiment manipulating social norms?

    <p>The willingness of people to get tested and self-quarantine.</p> Signup and view all the answers

    What does the squared multiple correlation (R2) measure in the context of moderation?

    <p>The proportion of variance explained by the interaction</p> Signup and view all the answers

    Which statement accurately reflects the role of interaction in moderation analysis?

    <p>Interaction assesses the degree to which a moderator influences the relationship between variables.</p> Signup and view all the answers

    What conclusion can be drawn if the increment in squared multiple correlation (R2) is significantly greater than zero?

    <p>There is a meaningful interaction effect at play.</p> Signup and view all the answers

    What does a significant squared multiple correlation (R2) imply about the validity of the interaction term?

    <p>It provides evidence that the interaction term is meaningful.</p> Signup and view all the answers

    When evaluating moderation, which aspect is primarily considered regarding squared multiple correlation (R2)?

    <p>The interaction between moderator and independent variables.</p> Signup and view all the answers

    What is a common solution to avoid demand effects in a study?

    <p>Constructing a good cover story for participants</p> Signup and view all the answers

    What is a manipulation check, and why is it important?

    <p>It validates whether the manipulation had the intended effect.</p> Signup and view all the answers

    What should researchers aim to avoid to maintain the integrity of their study's results?

    <p>Attrition among participants</p> Signup and view all the answers

    What was the outcome of the study by Bargh, Chen, & Burrows (1996) regarding priming?

    <p>Participants walked more slowly after priming with 'old' stereotypes.</p> Signup and view all the answers

    How can an experimenter's awareness of experimental conditions affect the results?

    <p>It can lead to unintentional signaling of experimental conditions.</p> Signup and view all the answers

    Study Notes

    Sensitive Data Protection

    • Sensitive personal data requires strong protection, including health data, genetic or biometric data, religion, race, ethnicity, and political beliefs.

    Dealing with Data: Research Approaches

    • p-hacking: Using research degrees of freedom to obtain a p-value less than 0.05.
    • Averaging across stimuli: May hide differences between individual stimuli.
    • Stimulus sampling: Essential when individuals are aware of variations within a category.
    • Correlational designs: Describe social reality, suitable for questions like "Which groups in society are not following coronavirus measures and why?".
    • Experimental designs: Test causal relationships, suitable for questions like "Do social norms affect people's willingness to get tested and self-quarantine?".

    The Importance of Experiments

    • Random assignment: Eliminates individual differences between participants in different conditions.
    • Theory and intervention: Experiments are crucial for developing theories and effective interventions/policies.
    • Manipulation checks: Validating the experimental manipulation in a separate study is often beneficial.
    • Attrition: Avoid losing participants, even if the rate is equal across conditions.
    • Demand effects: Participants may guess the research question and alter their behavior to support the hypothesis.
    • Cover story: Construct a convincing cover story to mask the true research question and minimize demand effects.
    • Experimenter blindness: Ideally, the experimenter should be unaware of the experimental condition to prevent conscious or unconscious signaling.

    Example: Priming and Walking Speed

    • Priming participants with the 'old' stereotype can result in them walking more slowly after the experiment.

    Moderation Analysis

    • Moderation analysis helps determine the magnitude and direction of an interaction effect.
    • The interaction effect is significant if the increment in the squared multiple correlation (R2) is greater than zero.

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    Related Documents

    Advanced Research Methods PDF

    Description

    Explore the critical aspects of sensitive data protection, including the necessary safeguards for personal information. Additionally, dive into various research approaches like p-hacking and experimental designs, understanding how they influence data analysis and societal insights.

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