Web Survey Bibliography
Although much of the R&D that has been conducted to date concerning cell phone surveys has focused on the issues of coverage, sampling, nonresponse, and weighting, not much has been reported about the quality of the data that are gathered from respondents interviewed on their cell phone. An AAPOR Task Force on Cell Phone Surveying (Lavrakas, et al. 2008) suggested that “there currently is no reliable evidence that the data gathered in good cell phone surveys are of lower quality than in comparable landline surveys. However, the Task Force believes it is advisable that researchers remain attentive to this concern. Future research is needed to know with confidence if, and how, data quality is affected by gathering it from a respondent on a cell phone” (p. 5). In the spirit of this call for further research into cell phone data quality, the Associated Press and GfK Roper have conducted several dual frame national telephone surveys in which approximately 200 adults were sampled and interviewed via their cell phone in each survey. Each cell phone respondent was asked whether s/he was being interviewed at her/his home or someplace else. A hypothesis suggested in the literature is that for many reasons those interviewed at home on their cell phone may, as a group, provide better quality data that those reached on a cell phone someplace else. Preliminary findings from our analyses of four surveys completed to date show that (1) about one-third of cell phone respondents complete their interview away from home and (2) there is more missing data, including more refusals to sensitive questions, among those interviewed away from home when controlling for the demographic correlates of location of the interview.
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Web survey bibliography - Lavrakas, P. J. (12)
- Quota Controls in Survey Research.; 2016; Gittelman, S. H.; Thomas, R. K.; Lavrakas, P. J.; Lange, V.
- Boosting Probability-Based Web Survey Response Rates via Nonresponse Follow-Up; 2015; Chew, K.; Fontes, A.; Lavrakas, P. J.
- Online panel research: History, concepts, applications and a look at the future; 2014; Callegaro, M., Baker, R., Bethlehem, J., Goeritz, A., Krosnick, J. A., Lavrakas, P. J.
- Measures of Data Quality Across the RDD Frames; 2012; Lavrakas, P. J.
- Changing Survey Methods (Discussion); 2011; Lavrakas, P. J.
- The Future of Internet Research; 2010; Lavrakas, P. J.
- Investigating Data Quality in Cell Phone Surveying; 2010; Lavrakas, P. J., Tompson, T., Benford, R.
- Use of Incentives in Survey Research; 2009; Lavrakas, P. J.
- Encyclopedia of Survey Research Methods; 2008; Lavrakas, P. J.
- Surveying Cell Phone Numbers in the United States; 2008; Lavrakas, P. J.
- Will a "Perfect Storm" of Cellular-Linked Forces Sink RDD Sampling?; 2004; Lavrakas, P. J.
- The Influence of Incremental Increases in Token Cash Incentives on Mail Survey Response; 2004; Trussell, N., Lavrakas, P. J.