Does mode matter? A comparison of telephone, mail, and in-person treatments in contingent valuation surveys

Maguire, Kelly

doi:10.1016/j.jenvman.2009.06.005

Cited by 61 publications

(43 citation statements)

References 17 publications

(20 reference statements)

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“…Davis (2004) speculates that this finding is due to time pressure on the telephone (though she also acknowledges that sample composition effects may be important in explaining differences). A recent study by Maguire (2009) also finds higher mean WTP in the telephone mode than the mail and f2f modes, indicating, as the author states, social desirability bias in the telephone mode. Two other studies find mixed results when comparing f2f, phone and self-administered survey modes (Hanley, 1989;Smith, 2006).…”

Section: Other Mode Comparisons In the Sp Literaturementioning

confidence: 78%

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

Lindhjem

Navrud

2011

IRERE

126

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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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Section: Other Mode Comparisons In the Sp Literaturementioning

confidence: 78%

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

Lindhjem

Navrud

2011

IRERE

126

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“…Many, but not all, studies conclude that this bias is stronger in interviews than in self-administered surveys. (36)(37)(38)(39)(40)(41)(42) It is not clear how this question is relevant in the context of a typical expert elicitation.…”

Section: Survey Modes and Their Impactmentioning

confidence: 99%

Facing the Experts: Survey Mode and Expert Elicitation

et al. 2014

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In this paper we compare the results of two different expert elicitation methods: in-person interviews and a self-administered web-based survey. Traditional expert elicitation has been done face to face, with an elicitor meeting with an expert for a few hours to several days, depending on the complexity of the analysis. Recently, however, some groups have been using other methods to solicit expert judgments, including self-administered surveys (written, emailed, and web-based), and the use of interactive web tools to facilitate interactions during an elicitation. These elicitations require fewer resources from the assessment team than in-person interviews, and often allow participating experts to provide input on their own schedules, perhaps with additional time to think about their responses. Thus they open up the possibility of using expert elicitation to obtain inputs relevant to a broader set of decisions. To our knowledge, these newer survey-based methods have not been rigorously evaluated for efficacy. We find, much like the results in the literature on different survey modes, different results from two different modes we examined, but no clear indication of which method might be preferred. We suggest future work including some controlled, lab-based experiments and real EEs well designed to avoid sample selection biases and specifically targeted to capture survey mode effects. Such studies would help us determine whether and when the different survey modes are most effective.

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“…Benefit Transfer has also been applied extensively (Venn 2005, Sherrouse & Semmens 2014, Richardson et al 2015. The limitations of these methods have been illustrated and amply discussed in the literature (Maguire 2009, Brander & Koetse 2011, Armbrecht 2014, including suggestions for their improvement. Analyzing the limitations of the above-mentioned methodologies is beyond the scope of this work; for details, see Gsottbauer et al (2015).…”

Section: Introductionmentioning

confidence: 99%

A Decision Support System for trade-off analysis and dynamic evaluation of forest ecosystem services

Sacchelli¹

2018

iForest

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This paper presents an open-source Decision Support System (DSS) able to quantify the economic value of forest ecosystem services and their dynamic trade-offs. Provisioning, regulation and support services, as well as cultural services, can be evaluated by the model. Best management forestry practices can be identified by optimizing specific objective functions, e.g., maximizing the economic value or identifying the ideal rotation period. The model was applied to a silver fir (Abies alba Mill.) stand in central Italy as a case study. Results show the importance of economic parameters (e.g., discount rate) and management practices (e.g., presence/absence of silvicultural thinning) in defining forest values. The main strengths and weaknesses of the DSS are discussed in light of its potential for application in the sector of Payment for Ecosystem Services.

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Does mode matter? A comparison of telephone, mail, and in-person treatments in contingent valuation surveys

Cited by 61 publications

References 17 publications

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

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

Facing the Experts: Survey Mode and Expert Elicitation

A Decision Support System for trade-off analysis and dynamic evaluation of forest ecosystem services

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