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Fast Time and Simple Questions: The Effects of Age, Experience and Question Complexity on Web Survey Response Time |
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Abstract:
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This paper examines response times (RTs) in the context of survey research. Response times are heavily studied in experimental and/or cognitive psychology but are only now gaining attention from survey researchers. Most work on response times in survey research so far has considered response times either as predictors or as proxy measures for some other variable of greater interest. As a result, response times have not been the main focus of the research. Focusing on the nature and causes of response times, this paper takes on the response time as a dependent variable and attempts to tackle the mechanisms of response times by seeking an appropriate regression model. Using the survey response model proposed by Tourangeau, Rips and Rasinski (2000), we include both item-level characteristics and respondent-level characteristics that have been demonstrated to have an impact on response time in a hierarchical regression model. The results from the regression model corroborate evidence from cognitive and experimental psychology that response time is affected by question characteristics such as length, number of answer categories, the nature of answer categories, and the location of the question within the questionnaire as well as respondent characteristics such as age, education and experience with the Internet. Two interaction terms--age by question length and age by the location of question--are shown to have an impact on response times, too. |
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Association:
Name: American Association for Public Opinion Research
URL: http://www.aapor.org
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Citation:
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MLA Citation:
| Yan, Ting. and Tourangeau, Roger. "Fast Time and Simple Questions: The Effects of Age, Experience and Question Complexity on Web Survey Response Time" Paper presented at the annual meeting of the American Association for Public Opinion Research, Pointe Hilton Tapatio Cliffs, Phoenix, Arizona, May 11, 2004 <Not Available>. 2008-10-10 <http://www.allacademic.com/meta/p115943_index.html> |
APA Citation:
| Yan, T. and Tourangeau, R. , 2004-05-11 "Fast Time and Simple Questions: The Effects of Age, Experience and Question Complexity on Web Survey Response Time" Paper presented at the annual meeting of the American Association for Public Opinion Research, Pointe Hilton Tapatio Cliffs, Phoenix, Arizona <Not Available>. 2008-10-10 from http://www.allacademic.com/meta/p115943_index.html |
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This paper examines response times (RTs) in the context of survey research. Response times are heavily studied in experimental and/or cognitive psychology but are only now gaining attention from survey researchers. Most work on response times in survey research so far has considered response times either as predictors or as proxy measures for some other variable of greater interest. As a result, response times have not been the main focus of the research. Focusing on the nature and causes of response times, this paper takes on the response time as a dependent variable and attempts to tackle the mechanisms of response times by seeking an appropriate regression model. Using the survey response model proposed by Tourangeau, Rips and Rasinski (2000), we include both item-level characteristics and respondent-level characteristics that have been demonstrated to have an impact on response time in a hierarchical regression model. The results from the regression model corroborate evidence from cognitive and experimental psychology that response time is affected by question characteristics such as length, number of answer categories, the nature of answer categories, and the location of the question within the questionnaire as well as respondent characteristics such as age, education and experience with the Internet. Two interaction terms--age by question length and age by the location of question--are shown to have an impact on response times, too. |
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