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.