MODE DIFFERENCES BETWEEN FACE-TO-FACE AND WEB SURVEYS: AN EXPERIMENTAL INVESTIGATION OF DATA QUALITY AND SOCIAL DESIRABILITY EFFECTS
MODE DIFFERENCES BETWEEN FACE-TO-FACE AND WEB SURVEYS: AN EXPERIMENTAL INVESTIGATION OF DATA QUALITY AND SOCIAL DESIRABILITY EFFECTS
复制标题
DOI:
10.1093/ijpor/edn054
复制
发表时间:
2009-03-01
影响因子:
1.8
通讯作者:
Heerwegh, Dirk
中科院分区:
文献类型:
--
作者:
Heerwegh, Dirk
Mixed mode surveys are prone to confounding mode effects with nonresponse error. Sequential mixed mode designs, for instance, follow up nonrespondents to one mode with a subsequent mode (Dillman, 2000). The sample composition consequently could differ to a large extent across survey modes, hampering straightforward conclusions about mode effects. But even in experimental mixed mode survey designs, such a confounding can occur if nonresponse is not controlled. As long as different survey modes attract different types of respondents, sample comparability is compromised, and it will be difficult to filter out mode effects (Voogt & Saris, 2005). These considerations set the stage for the current study. This study aimed to analyze mode effects between face-to-face and Web surveys, without confounding them with nonresponse bias. These two survey modes could represent the starting and the end point of a sequential mixed mode survey. Given a population with a sufficiently high Internet coverage, a Web survey could be deployed to collect as much data as possible, after which other, more expensive survey modes are used to follow up remaining nonrespondents. A face-to-face survey could be the final stage of such a survey design. Because such sequential mixed mode surveys confound mode effects with nonresponse differences, the current study utilized a concurrent mixed mode design.More specifically, all respondents were interviewed face-to-face in the current study. However, one randomly selected part of the respondents was asked to answer the final 36 questions via a Web survey, while the other respondents simply completed the entire survey face-to-face. This design precludes nonresponse error to the extent that a large proportion of the respondents asked to complete the final part of the questionnaire on the Web complies with that request. The general research question is whether (more expensive) face-to-face surveys generate higher quality data than Web surveys. While data quality is a broad concept, it is defined here in terms of the commonly used indicators do not know (DK) answers, item nonresponse, response nondifferentiation, and acquiescence, referred to collectively as ‘‘response quality’’on the one hand and social desirability on the other.