Comparing Responses from Internet and Paper-Based Collection Methods in more Complex Stated Preference Environmental Valuation Surveys

Windle, Jill; Rolfe, John

doi:10.1016/s0313-5926(11)50006-2

Cited by 82 publications

(54 citation statements)

References 11 publications

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“…In terms of response behaviour, Lindhjem and Navrud (2011), Nielsen (2011) and Marta-Pedroso et al (2007) find no significant differences in mean willingness to pay (WTP) in comparisons of web and face-to-face surveys applying the contingent valuation method. In a comparison of web and mail survey formats using choice experiments, both Olsen (2009) and Windle and Rolfe (2011) could not reject the hypothesis of equal WTP estimates. However, after controlling for sample frame and self-selection effects, Morrison et al (2013) recently found that the web survey resulted in WTP estimates that were, on average, 30% lower than those derived via a mail survey.…”

Section: Introductionmentioning

confidence: 91%

Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?

Liebe

Glenk

Oehlmann

et al. 2015

Journal of Choice Modelling

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Section: Introductionmentioning

confidence: 91%

Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?

Liebe

Glenk

Oehlmann

et al. 2015

Journal of Choice Modelling

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“…Among those he finds higher response rates and fewer protest respondents in the online survey, whereas willingness to pay (WTP) estimates do not differ significantly across modes. Windle and Rolfe (2011) compare a complex choice experiment as paper-based and online surveys. These authors do not find significantly different welfare estimates for an improvement of the condition of the Great Barrier Reef.…”

Section: Survey Mode Effects and Online Surveysmentioning

confidence: 99%

“…An increasing number of stated preference surveys (Olsen 2009;Lindhjem and Navrud 2011;Windle and Rolfe 2011) are now conducted online (Lindhjem and Navrud 2011). This survey mode offers the potential to reach a wide range of respondents at relatively low cost and data can be collected and managed quite rapidly (Malhotra 2008).…”

Section: Introductionmentioning

confidence: 99%

Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment

Bӧrger

2015

Environ Resource Econ

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Scepticism over stated preference surveys conducted online revolves around the concerns over "professional respondents" who might rush through the questionnaire without sufficiently considering the information provided. To gain insight on the validity of this phenomenon and test the effect of response time on choice randomness, this study makes use of a recently conducted choice experiment survey on ecological and amenity effects of an offshore windfarm in the UK. The positive relationship between self-rated and inferred attribute attendance and response time is taken as evidence for a link between response time and cognitive effort. Subsequently, the generalised multinomial logit model is employed to test the effect of response time on scale, which indicates the weight of the deterministic relative to the error component in the random utility model. Results show that longer response time increases scale, i.e. decreases choice randomness. This positive scale effect of response time is further found to be non-linear and wear off at some point beyond which extreme response time decreases scale. While response time does not systematically affect welfare estimates, higher response time increases the precision of such estimates. These effects persist when self-reported choice certainty is controlled for. Implications of the results for online stated preference surveys and further research are discussed.

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“…Following a similar approach to Olsen (2009), Windle and Rolfe (2011) compare an Internet panel sample with a drop-off/pick up paper-based collection method (details of which are unclear). The object of valuation is the improvement of the environmental condition of the Great Barrier Reef in Australia.…”

Section: Mail Telephone and Computer At Central Locationmentioning

confidence: 99%

Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes

Lindhjem

Navrud

2011

IRERE

123

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Internet is quickly becoming the survey mode of choice for stated preference (SP) surveys in environmental economics. However, this choice is being made with relatively little consideration of its potential influence on survey results. This paper reviews the theory and emerging evidence of mode effects in the survey methodology and SP literatures, summarizes the findings, and points out implications for Internet SP practice and research. The SP studies that compare Internet with other modes do generally not find substantial difference. The majority of welfare estimates are equal; or somewhat lower for the Internet surveys. Further, there is no clear evidence of substantially lower quality or validity of Internet responses. However, the degree of experimental control is often low in comparative studies across survey modes, and they often confound measurement and sample composition effects. Internet offers a huge potential for experimentation and innovation in SP research, but when used to derive reliable welfare estimates for policy assessment, issues like representation and nonresponse bias for different Internet panels should receive more attention.

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Comparing Responses from Internet and Paper-Based Collection Methods in more Complex Stated Preference Environmental Valuation Surveys

Cited by 82 publications

References 11 publications

Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?

Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?

Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment

Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes

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