AI in Psychological Research: Methodology Considerations

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1. Which task represents one of AI's strongest contributions to psychological research?

   1. Replacing human researchers in interview settings
   2. Generating new psychological theories from scratch
   3. Analyzing large datasets to surface hidden patterns
   4. Eliminating the need for ethics review processes

2. Why is maintaining rigorous study design still essential when using AI in psychological research?

   1. Poorly designed studies produce unreliable results regardless of AI assistance
   2. Study design rigor is no longer relevant with modern AI tools
   3. AI can only function in perfectly designed experiments
   4. AI systems automatically validate their own conclusions

3. When publishing research that used AI tools, what documentation practice is specifically recommended?

   1. Completely hiding AI involvement to avoid peer review scrutiny
   2. Only documenting the final results, not the AI process
   3. Comprehensive documentation of all AI tools and their specific uses
   4. Replacing traditional methods sections with AI prompts

4. What ethical risk is specifically associated with AI processing of psychological research data?

   1. AI-generated citations for non-existent studies
   2. Re-identification of anonymized participants through pattern analysis
   3. Automatic peer review approval
   4. GPU hardware failures during analysis

5. What is 'hallucination' in the context of AI tools used for psychological research?

   1. A method for randomizing experimental conditions
   2. The visualization of neural network activation patterns
   3. AI generating confident but factually incorrect outputs
   4. A type of participant response in dreams studies

6. Which of the following can AI NOT substitute for in psychological research?

   1. Data visualization and reporting
   2. Statistical calculations and data processing
   3. Pattern detection in large datasets
   4. Substantive psychological theory development

7. In qualitative psychological research, why can't AI fully replace participant relationships?

   1. All qualitative data must be numerical to be useful
   2. Qualitative work requires human empathy, trust-building, and contextual understanding
   3. Participants may not trust AI systems enough to share authentic experiences
   4. AI lacks the ability to process text responses

8. When designing AI use in psychology research, what should be considered regarding different use cases?

   1. AI use cases should follow a single standard template
   2. Use case considerations are only relevant for clinical studies
   3. AI methodology should be identical across all research types
   4. AI methodology varies by use case and research goals

9. Which consideration is specifically important when AI is involved in psychological research with human participants?

   1. Participants should be informed about how AI analyzes their data
   2. AI involvement has no impact on informed consent procedures
   3. AI can make participation completely risk-free
   4. Participants should never know AI is being used

10. Why is engagement with the broader field important regarding AI methodology in psychological research?

    1. Engagement ensures all studies use identical AI tools
    2. Field engagement is required for government funding approval
    3. Field engagement has no impact on research quality
    4. Methodology in AI is rapidly evolving and requires ongoing dialogue

11. What capability of AI is particularly valuable for psychological research involving large datasets?

    1. Eliminating the need for hypothesis formation
    2. Surfacing patterns that humans might miss
    3. Automatically conducting literature reviews
    4. Replacing statistical software entirely

12. What happens when AI analyzes data from a study with poor design?

    1. Poor design only affects qualitative, not AI-analyzed data
    2. AI produces unreliable findings based on flawed data
    3. AI refuses to process poorly designed studies
    4. AI corrects the design flaws automatically

13. In research publications, what is the consequence of inadequately documenting AI tool use?

    1. It improves the study's credibility
    2. Other researchers cannot properly evaluate or replicate the findings
    3. It speeds up the peer review process
    4. Documentation requirements only apply to funded studies

14. A psychology researcher wants to use AI to develop a new theoretical model. What limitation should guide their approach?

    1. AI is not designed to generate substantive psychological theory
    2. AI can only work with existing published theories
    3. AI models cannot be used in psychology due to ethical restrictions
    4. Theoretical development requires statistical approval

15. During interviews for a qualitative study on trauma, why might AI-assisted transcription alone be insufficient?

    1. AI cannot build the trust necessary for participants to share sensitive experiences
    2. Trauma studies do not involve verbal data
    3. Transcription software cannot handle audio files
    4. All qualitative studies require quantitative validation