Analysing Establishment Survey Non-Response Using Administrative Data and Machine Learning

Küfner, Benjamin; Sakshaug, Joseph W.; Zins, Stefan

doi:10.1111/rssa.12942

Cited by 5 publications

(1 citation statement)

References 56 publications

(95 reference statements)

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“…Conversion rates were low and did not differ significantly by the type of email invitation. This was expected as low response is common in voluntary business surveys, especially when compared to mandatory government surveys (Küfner, Sakshaug, and Zins 2022). This research found that larger firms had higher conversion rates than smaller firms.…”

Section: Discussionmentioning

confidence: 62%

Testing Theoretical Communication Strategies on Survey Email Outreach to South Carolina Manufacturing Firms

Kosakow

2024

Surv Pract

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Survey practitioners have conducted numerous experiments to understand why people participate in surveys. Although there is a significant amount of literature addressing survey response theories, we do not know if these hold for email recruitment. As the internet becomes more widely used in the administration of surveys, it is important to understand how to communicate when soliciting a survey response using email. This paper tests two communication theories – Social Exchange theory and Pre-Suasion theory – on how the subject line and the content of an email affects a person’s willingness to open an email and, ultimately, to join a business survey panel. Results suggest that the subject lines produced according to the Social Exchange and Pre-Suasion theories perform similarly in email open rates. Additionally, both communication strategies perform similarly in converting a business into the survey. There was some evidence that Social Exchange theory was more effective at converting businesses with five or fewer employees, however, conversion rates were low for this experiment.

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Section: Discussionmentioning

confidence: 62%

Testing Theoretical Communication Strategies on Survey Email Outreach to South Carolina Manufacturing Firms

Kosakow

2024

Surv Pract

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The Impact of Mail, Web, and Mixed-Mode Data Collection on Participation in Establishment Surveys

Küfner,

Sakshaug,

Zins

et al. 2024

Journal of Survey Statistics and Methodology

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Over the past 30 years, self-administered establishment surveys have increasingly transitioned away from using mail to more online and mixed-mode data collection. To examine the potential impact of this transition on survey participation, we evaluate several mail and web single- and mixed-mode designs implemented experimentally in a large-scale job vacancy survey. We find that neither response rates nor nonresponse bias significantly differed between the alternative designs. Subgroup analyses revealed that establishments of all size classes showed a preference for the mail mode in the concurrent mixed-mode design, but larger establishments were more likely to participate via web than mail in the single-mode designs. Potential cost savings (over 50 percent per respondent) were evident when utilizing the web mode in either a single- or sequential mixed-mode design. Qualitative follow-up interviews indicated a general preference for the web mode due to easier handling, smoother collaboration between colleagues, avoidance of a cumbersome mail return, and being seen as a modern sustainable solution.

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Establishment survey participation during the COVID-19 pandemic

Küfner

Sakshaug

Zins

2022

J Labour Market Res

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Establishment surveys around the globe have measured the impact of the COVID-19 pandemic on establishments’ conditions and business practices. At the same time, the consequences of the pandemic, such as closures, hygiene standards, or remote work arrangements, may have also altered patterns of survey participation and introduced nonresponse bias, threatening the quality of establishment survey data. To investigate these issues, this article examines fieldwork outcomes, nonresponse bias, and predictors of survey participation in the IAB-Job Vacancy Survey. As comparisons with previous survey years show, it became more difficult to successfully interview establishments during the COVID-19 pandemic. Using linked administrative data, we show that nonresponse bias was higher in 2020 compared to previous years, even after applying the standard weighting adjustment. However, general patterns of survey participation in 2020 were similar to previous years and COVID-19 related measures were not strong predictors of survey participation in 2020. Further, we provide evidence that nonresponse bias during the pandemic can be reduced by incorporating additional administrative variables into the weighting procedure relative to the standard weighting variables. We conclude this article with a discussion of the findings and implications for survey practitioners.

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Analysing Establishment Survey Non-Response Using Administrative Data and Machine Learning

Cited by 5 publications

References 56 publications

Testing Theoretical Communication Strategies on Survey Email Outreach to South Carolina Manufacturing Firms

Testing Theoretical Communication Strategies on Survey Email Outreach to South Carolina Manufacturing Firms

The Impact of Mail, Web, and Mixed-Mode Data Collection on Participation in Establishment Surveys

Establishment survey participation during the COVID-19 pandemic

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