Abstract
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The chapter discusses nonresponse in web surveys, highlighting its increasing prevalence and potential impact due to technological advancements and greater Internet usage. It examines the nonresponse process, identifies key factors influencing response rates, and suggests areas for future research, including solicitation strategies, incentive effectiveness, questionnaire design, respondent satisfaction, confidentiality, and cost errors in mixed-mode surveys.
FAQs
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What are the main challenges of nonresponse in web surveys?
The paper identifies complex stages of nonresponse, with overall response rates typically below 50%. For example, the RIS 98 Web survey achieved a response rate of only 39%.
How does the length of questionnaires affect response rates?
Shorter questionnaires generally achieve higher response rates, with a 12-minute questionnaire being manageable. However, 20-minute questionnaires pose significant challenges for respondents, increasing abandonment rates.
What role do follow-ups play in web survey response rates?
Follow-ups can contribute up to one third of the final sample size in web surveys. Additionally, they help create a more representative sample by attracting different respondent types.
How do technological factors impact participation in web surveys?
Technological proficiency, such as having the latest browser and stable internet access, greatly influences survey participation rates. Inadequate equipment can hinder participation, making the survey longer and more difficult.
What explains variance in response rates across demographic categories in web surveys?
Response rates differ significantly by demographic factors, with younger, more educated, and affluent individuals more likely to participate. Age, gender, education, and income collectively influence attitudes toward survey participation.