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Jessica M E Herzing

Biographic Data

ID103323
NAMEJessica M E Herzing
GIVEN NAMESJessica M E
FAMILY NAMEHerzing
SIGNATUREHERZING J M E
AFFILIATIONSUniversity of Bern
ORCID0000-0002-9010-5927
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS22
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2023
H-INDEX2
  • What about the Less IT Literate? A Comparison of Different Postal Recruitment Strategies to an Online Panel of the General Population

    Open Access•Barbara Felderer, Jessica M E Herzing•ARTICLE•CAM•2023•Cited by: 1•References: 24

    Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we study which recruitment survey mode strategy performs best in recruiting less IT-literate persons for an online panel. The sampled individuals received po…

  • Investigation of alternative interface designs for long-list questions–the case of a computer-assisted survey in Germany

    Jessica M E Herzing•ARTICLE•International Journal of Social…•2020•References: 7

    This study aims to address the questionnaire design challenges in cases wherein questions involve a large number of response options. Traditionally, these long-list questions are asked in open-ended or closed-ended formats. However, alternative interface design options are emerging in computer-assisted surveys that combine both interface designs. To investigate trade-offs of these alternative designs, a split-ballot experiment was conducted with …

  • The Influence of a Person’s Digital Affinity on Unit Nonresponse and Attrition in an Online Panel

    Open Access•Jessica M E Herzing, Annelies G Blom•ARTICLE•Social Science Computer Review•2018•Cited by: 6•References: 24

    Research has shown that the non-Internet population is hesitant to respond to online survey requests. However, also subgroups in the Internet population with low digital affinity may hesitate to respond to online surveys. This latter issue has not yet received much attention by scholars despite its potentially detrimental effects on the external validity of online survey data. In this article, we explore the extent to which a person’s digital aff…

  • Does the Recruitment of Offline Households Increase the Sample Representativeness of Probability-Based Online Panels? Evidence From the German Internet Panel

    Open Access•Annelies G Blom, Jessica M E Herzing et al.•ARTICLE•Social Science Computer Review•2016•Cited by: 15•References: 6

    The past decade has seen a rise in the use of online panels for conducting survey research. However, the popularity of online panels, largely driven by relatively low implementation costs and high rates of Internet penetration, has been met with criticisms regarding their ability to accurately represent their intended target populations. This criticism largely stems from the fact that (1) non-Internet (or offline) households, despite their relati…

  • Does the Recruitment of Offline Households Increase the Sample Representativeness of Probability-Based Online Panels? Evidence From the German Internet Panel

    Open Access•Annelies G Blom, Jessica M E Herzing et al.•ARTICLE•Social Science Computer Review•2016•Cited by: 15•References: 6

    The past decade has seen a rise in the use of online panels for conducting survey research. However, the popularity of online panels, largely driven by relatively low implementation costs and high rates of Internet penetration, has been met with criticisms regarding their ability to accurately represent their intended target populations. This criticism largely stems from the fact that (1) non-Internet (or offline) households, despite their relati…

  • The Influence of a Person’s Digital Affinity on Unit Nonresponse and Attrition in an Online Panel

    Open Access•Jessica M E Herzing, Annelies G Blom•ARTICLE•Social Science Computer Review•2018•Cited by: 6•References: 24

    Research has shown that the non-Internet population is hesitant to respond to online survey requests. However, also subgroups in the Internet population with low digital affinity may hesitate to respond to online surveys. This latter issue has not yet received much attention by scholars despite its potentially detrimental effects on the external validity of online survey data. In this article, we explore the extent to which a person’s digital aff…

  • What about the Less IT Literate? A Comparison of Different Postal Recruitment Strategies to an Online Panel of the General Population

    Open Access•Barbara Felderer, Jessica M E Herzing•ARTICLE•CAM•2023•Cited by: 1•References: 24

    Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we study which recruitment survey mode strategy performs best in recruiting less IT-literate persons for an online panel. The sampled individuals received po…

  • Does the Recruitment of Offline Households Increase the Sample Representativeness of Probability-Based Online Panels? Evidence From the German Internet Panel

    Open Access•Annelies G Blom, Jessica M E Herzing et al.•ARTICLE•Social Science Computer Review•2016•Cited by: 15•References: 6

    The past decade has seen a rise in the use of online panels for conducting survey research. However, the popularity of online panels, largely driven by relatively low implementation costs and high rates of Internet penetration, has been met with criticisms regarding their ability to accurately represent their intended target populations. This criticism largely stems from the fact that (1) non-Internet (or offline) households, despite their relati…

  • The Influence of a Person’s Digital Affinity on Unit Nonresponse and Attrition in an Online Panel

    Open Access•Jessica M E Herzing, Annelies G Blom•ARTICLE•Social Science Computer Review•2018•Cited by: 6•References: 24

    Research has shown that the non-Internet population is hesitant to respond to online survey requests. However, also subgroups in the Internet population with low digital affinity may hesitate to respond to online surveys. This latter issue has not yet received much attention by scholars despite its potentially detrimental effects on the external validity of online survey data. In this article, we explore the extent to which a person’s digital aff…

  • Investigation of alternative interface designs for long-list questions–the case of a computer-assisted survey in Germany

    Jessica M E Herzing•ARTICLE•International Journal of Social…•2020•References: 7

    This study aims to address the questionnaire design challenges in cases wherein questions involve a large number of response options. Traditionally, these long-list questions are asked in open-ended or closed-ended formats. However, alternative interface design options are emerging in computer-assisted surveys that combine both interface designs. To investigate trade-offs of these alternative designs, a split-ballot experiment was conducted with …

  • What about the Less IT Literate? A Comparison of Different Postal Recruitment Strategies to an Online Panel of the General Population

    Open Access•Barbara Felderer, Jessica M E Herzing•ARTICLE•CAM•2023•Cited by: 1•References: 24

    Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we study which recruitment survey mode strategy performs best in recruiting less IT-literate persons for an online panel. The sampled individuals received po…

Computer Science (4 works) · Survey Methodology and Nonresponse (4 works) · German (3 works) · Mathematics (3 works) · Panel data (3 works) · Psychology (3 works) · Statistics (3 works) · Demography (2 works) · Demography (2 works) · Econometrics (2 works)

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