2022
Comparing nonresponders and responders of online intercept surveys: A large-scale experimental ICT security-related study
KNAPOVÁ, Lenka, David ŠMAHEL, Lenka DĚDKOVÁ a Václav MATYÁŠZákladní údaje
Originální název
Comparing nonresponders and responders of online intercept surveys: A large-scale experimental ICT security-related study
Autoři
KNAPOVÁ, Lenka (203 Česká republika, domácí), David ŠMAHEL (203 Česká republika, garant, domácí), Lenka DĚDKOVÁ (203 Česká republika, domácí) a Václav MATYÁŠ (203 Česká republika, domácí)
Vydání
Human Behavior and Emerging Technologies, 2022, 2578-1863
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50800 5.8 Media and communications
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 10.300
Kód RIV
RIV/00216224:14330/22:00128916
Organizační jednotka
Fakulta informatiky
UT WoS
000837996300001
Klíčová slova česky
dotazníkové výzkumy; respondenti; online výzkumy
Klíčová slova anglicky
survey; respondents; online surveys
Změněno: 5. 4. 2023 03:30, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
Online surveys have become a popular way to collect data. However, response rates are low, specifically for online intercept-based surveys, which can be as low as 1%. This raises questions about the accuracy of the inferences based on these results. Furthermore, it is difficult to compare the characteristics and behavior of the responders and nonresponders as there is very limited information on nonresponders. The objective of this article is to present a unique comparison of online intercept survey responders, nonresponders, and partial responders. The sample includes 192,566 U.S.-based users who went through a research experiment during the installation process of ESET online security software. During the process, users were asked to enable or disable the detection of potentially unwanted applications. At the end, they could also opt to answer questions on a short security-related survey. The users were split into three groups: (a) nonresponders (), (b) complete responders (), and (c) partial responders (). There were only slight differences between the responder and nonresponder groups in their hardware (i.e., computer CPU quality and RAM size). Responders and nonresponders differed in their behavior. Complete responders enabled the detection of potentially unwanted applications significantly more often than nonresponders (on average by 4.5%) and spent more time on the screen that provided details about this feature. Additional comparisons showed that complete responders were slightly younger and more educated than partial responders. We conclude that there are only slight differences between online intercept survey responders and nonresponders and that these differences manifest in computer usage-related decisions. Despite the low overall response rates, online product-related surveys can provide useful insights about the user base. Nevertheless, the companies that use online surveys should be careful because behavior might differ for users in specific situations.