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