LT

3.2 Surveys

Surveys Overview

  • Surveys (or polls) gather information through self-reporting in various formats:

    • Online Surveys: Always accessible (e.g., purchase decisions).

    • In-person Questionnaires: Gather data during specific choices or events.

    • Interviews: Collect information post-events like stressful situations.

Example: Adverse Childhood Events (ACEs) Survey

  • Provides critical data on the prevalence of adverse childhood experiences:

    • Reported Statistics:

    • 64% of adults report at least one ACE.

    • 17% report four or more ACEs (data collected 2011-2020).

Impacts of ACEs

  • Higher ACE scores correlate with increased risks for:

    • Chronic Health Conditions:

    • Heart disease, stroke, cancer, etc.

    • Mental Health and Substance Use Disorders:

    • Depression and various substance use disorders.

    • Health Risk Behaviors:

    • Increased likelihood of smoking, alcohol misuse, etc.

    • Social Outcomes:

    • Lack of health insurance, unemployment, etc.

Construct Validity of Surveys

  • Validity depends on matching the information needed with the feasibility of self-reporting among participants.

    • Good Matches: Subjective perspectives, retrospective reports.

    • Poor Matches: Difficult to articulate feelings or behaviors (e.g., anxiety in infants).

Writing Effective Survey Questions

  • Open-ended Questions: Allow diverse participant responses, gathering qualitative data but may complicate coding.

  • Forced-Choice Questions: Offer limited response options (Likert-type), ensuring ease of data analysis but may sacrifice detail.

  • Avoid Bias in Questions:

    • Eliminate leading, double-barreled, or negatively worded questions.

  • Use Established Questionnaires: Utilize existing validated questionnaires or pilot new surveys for effectiveness.

Common Survey Issues

  • Response Sets: Participants may provide consistent (and inaccurate) responses to save time.

  • Fence Sitting: Hesitance to choose extremes leads to neutral responses.

  • Social Desirability Bias: Participants may respond in ways they perceive as socially acceptable.

Practical Applications for Surveys

  • Conduct surveys in real-world settings (e.g., ecological momentary assessment) to enhance validity.

  • Anticipate and mitigate potential biases through careful question design and response options.

Testing Self-Understanding with Questions

  • Engage with sample questions to identify the best methods for data collection and mitigate issues like fence-sitting and response sets.

Conclusion

  • Surveys are a powerful tool for data collection, provided they are carefully designed, considering the validity of responses and the ethical implications of asking sensitive questions.