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Purpose of surveys
Gather many types of information.
Survey samples
May be randomized, assigned, stratified, open, well-defined, ill-defined, or convenience samples.
Survey challenges
Respondent reliability, interpretation, bias, nonresponse, and extrapolation can affect findings.
Survey methods
Mail, telephone, internet, and interviews.
Survey planning
Define specific goals, objectives, or aims before developing research questions and hypotheses.
Improving response rates
Use a well-designed, short instrument; consider an inducement and follow-up.
Email survey design
Begin with interesting items, limit length, and send notices or reminders.
Survey introduction
Make the introduction clear, informative, appropriately worded, and carefully proofread.
Survey follow-up
Reminders may increase response rates; follow-up must protect confidentiality.
Web survey advantages
Can reach large, dispersed samples, collect substantial data, and provide downloadable results.

Web survey limitations
Low response rates, item misinterpretation, and lack of internet access can be challenges.
Phone surveys
Offer timely personal contact while allowing anonymity, but require phone access.

Personal interview surveys
Allow deeper exploration and qualitative or quantitative data, but interviewers may influence respondents.

Survey item construction
Each answerable item should help address the research question or hypothesis.
Demographic data
Information that describes the sample.
Demographic item design
Use specific, relevant, understandable questions with nonoverlapping ranges.
Survey instrument quality
Items should be clear and answerable; the instrument should be reliable and valid.
Developing survey items
Write initial ideas, then edit, define, delete, combine, and categorize them.
Structured items
Allow the investigator to control responses.
Unstructured items
Can be difficult to quantify.
Ranking items
Specify ranks, provide clear instructions, and use a consistent format.
Likert scales
Gather information about opinions.

Verbal frequency scales
Response choices should capture needed responses and balance positive and negative options.
Survey assembly
Place the introduction first; organize the survey clearly and proofread it.
Pilot testing
Tests whether the survey is understandable; a large group is unnecessary.
Pilot-testing review
Check length, clarity, directions, needed data, bias, appearance, and suggested improvements.
Pilot-testing administration
Obtain warranted IRB approval and keep good records.
Small populations
Consider surveying the entire population.
Convenience samples
May not represent the population; a large sample does not guarantee accuracy.
Confidence level and interval
Common confidence levels are 95% or 99%; the interval expresses a margin of error.
Statistical analysis planning
Choose analyses during planning, consult a statistician, and understand the tests used.