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The Joint Effect of Topic Interest and Follow-Up Procedures on the Response in a Mail Questionnaire

Roose, Henk; Lievens, John; Waege, Hans - In: Sociological Methods & Research 35 (2007) 3, pp. 410-428

Leverage-saliency theory provides a seminal basis for research on the differential effects of response-facilitating techniques in surveys. In this article, a quasi-experimental design is applied to analyze the effect of follow-up procedures, taking into account the sample personsâ€™...

Persistent link: https://www.econbiz.de/10011136776

The effects of interviewer, respondent and area characteristics on cooperation in panel surveys: a multilevel approach

Haunberger, Sigrid - In: Quality & Quantity: International Journal of Methodology 44 (2010) 5, pp. 957-969

Persistent link: https://www.econbiz.de/10009396943

Analysing establishment survey non‐response using administrative data and machine learning

Küfner, Benjamin; Sakshaug, Joseph W.; Zins, Stefan - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S310-S342

Declining participation in voluntary establishment surveys poses a risk of increasing non‐response bias over time. In … this paper, response rates and non‐response bias are examined for the 2010–2019 IAB Job Vacancy Survey. Using comprehensive … various machine learning algorithms for non‐response bias adjustment. The analysis revealed that while the response rate …

Persistent link: https://www.econbiz.de/10014504344

What Respondents Really Expect From Researchers

TomaÅ¾ Kolar; Kolar, Iztok - In: Evaluation Review 32 (2008) 4, pp. 363-391

This article addresses the issue of falling response rates in telephone surveys. To better understand and maintain respondent goodwill, concepts of psychological contract and respondent expectations are introduced and explored. Results of the qualitative study show that respondent expectations...

Persistent link: https://www.econbiz.de/10010802552

The “frequency divide”: implications for internet-based surveys

Vicente, Paula; Reis, Elizabeth - In: Quality & Quantity: International Journal of Methodology 47 (2013) 6, pp. 3051-3064

Those who use the internet more frequently are more likely to notice a request to participate in a survey than less frequent users. The frequency of internet use is thus likely to affect the likelihood of participation in internet-based surveys. If frequent and infrequent users are different in...

Persistent link: https://www.econbiz.de/10010993105

Multiple Auxiliary Variables in Nonresponse Adjustment

Kreuter, Frauke; Olson, Kristen - In: Sociological Methods & Research 40 (2011) 2, pp. 311-332

Prior work has shown that effective survey nonresponse adjustment variables should be highly correlated with both the … nonresponse adjustment with multiple auxiliary variables as predictors. These auxiliary variables may be positively or negatively … with the survey variables. Yet the consequences for nonresponse adjustment of these conditions are not known to survey …

Persistent link: https://www.econbiz.de/10009294317

Removing Barriers to Survey Participation for Persons with Disabilities.

Mitchell, Susan; Ciemnecki, Anne; CyBulski, Karen; … - Mathematica Policy Research - 2006

Policymakers are exploring ways to include people with disabilities more fully in society. Part of that inclusion effort is to make sure that they can participate in key surveys, and that these surveys accurately identify their abilities as well as any challenges and impairments. Since the...

Persistent link: https://www.econbiz.de/10010609020

Informed participation: The effects of information treatment on panel non-response

Santos, Ricardo; Jones, Sam - 2021

granularity, including survival analysis, we find they all significantly reduce the instantaneous risk of nonresponse, with an …

Persistent link: https://www.econbiz.de/10012705338

Cash lotteries in online access panels : stating the odds of winning?

Gummer, Tobias; Bauer, Irina - In: International journal of market research 65 (2023) 1, pp. 3-11

Persistent link: https://www.econbiz.de/10014233808

Predicting potential respondents' decision to participate in web surveys

Fang, Jiaming; Wen, Chao - In: International journal of services technology and management 18 (2012) 1/2, pp. 16-32

Persistent link: https://www.econbiz.de/10009658661