Do Millennials differ in terms of survey participation?

Bosch, Oriol J.; Revilla, Mélanie; Paura, Ezequiel

doi:10.1177/1470785318815567

Cited by 18 publications

(19 citation statements)

References 10 publications

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“…Gummer et al (2019), for example, show across 18 web surveys that were conducted in Germany that the proportion of smartphone respondents has successively increased from about 5% to 20% between 2012 and 2016. Revilla et al (2016) observe a similar trend for Spain, Portugal, and several Latin American countries (see also Bosch et al, 2019b). The reasons for this development in web surveys seem to be twofold.…”

Section: Introductionmentioning

confidence: 74%

Completion Conditions and Response Behavior in Smartphone Surveys: A Prediction Approach Using Acceleration Data

Kern

Höhne

Schlosser

et al. 2020

Social Science Computer Review

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This study utilizes acceleration data from smartphone sensors to predict motion conditions of smartphone respondents. Specifically, we predict whether respondents are moving or nonmoving on a survey page level to learn about distractions and the situational conditions under which respondents complete smartphone surveys. The predicted motion conditions allow us to (1) estimate the proportion of smartphone respondents who are moving during survey completion and (2) compare the response behavior of moving and nonmoving respondents. Our analytical strategy consists of two steps. First, we use data from a lab experiment that systematically varied motion conditions of smartphone respondents and train a prediction model that is able to accurately infer respondents’ motion conditions based on acceleration data. Second, we use the trained model to predict motion conditions of respondents in two cross-sectional surveys in order to compare response behavior of respondents with different motion conditions in a field setting. Our results indicate that active movement during survey completion is a relatively rare phenomenon, as only about 3%–4% of respondents were predicted as moving in both cross-sectional surveys. When comparing respondents based on their predicted motion conditions, we observe longer completion times of moving respondents. However, we observe little differences when comparing moving and nonmoving respondents with respect to indicators of superficial responding, indicating that moving during survey completion does not pose a severe threat to data quality.

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Section: Introductionmentioning

confidence: 74%

Completion Conditions and Response Behavior in Smartphone Surveys: A Prediction Approach Using Acceleration Data

Kern

Höhne

Schlosser

et al. 2020

Social Science Computer Review

Self Cite

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show abstract

“…A la par, en su pensamiento se vuelven dictaminadores que pueden castigar o hacer populares a las organizaciones dependiendo de cómo se sienten tratados, por medio de las redes sociales (Bialik y Fry, 2019;Bizzi, 2017;Bosch et al, 2019;Espinoza y Ukleja, 2016;Fischer y Espejo, 2018;Karriker y Hartman, 2018;Holland et al, 2016;Murillo, 2017).…”

Section: Antecedentesunclassified

Expectativas laborales de los centennials para los negocios turísticos de Cancún

Rosa¹,

Cristerna²,

Mondragón³

2020

Dimentur

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La creciente participación de trabajadores conocidos como centennials, obliga a los negocios turísticos a implementar nuevas estrategias para reclutar y retener a su personal. Este trabajo identifica las expectativas laborales bajo la teoría de las necesidades de McClelland, desde un enfoque cuantitativo de alcance correlacional, utilizando el análisis factorial de componentes, a través de la aplicación de una encuesta a la población estudiantil próxima a egresar, del programa educativo de Turismo Sustentable y Gestión Hotelera de la Universidad del Caribe, ubicada en Cancún, Quintana Roo, México. Los hallazgos declarados como motivadores fueron la infraestructura, el balance de vida, el clima laboral y los programas de sustentabilidad característicos de esta generación.

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“…More and more respondents complete web surveys using mobile devices (Bosch et al, 2019;De Bruijne and Wijnant, 2014;Revilla et al, 2016), creating both new challenges and opportunities (Baker-Prewitt, 2013;Couper, 2013). In particular, this increasing use of mobile devices has been accompanied by the development of mobile apps, that is, "a software that resides on a mobile device, occasionally preloaded, sometimes downloaded from a website, but typically downloaded from an app store, such as Apple's App Store or Android's Google Play" (Poynter, 2015: 16).…”

Section: Introductionmentioning

confidence: 99%

Use of a research app in an online opt-in panel: The Netquest case

Revilla

Paura²,

Ochoa³

2021

Methodological Innovations

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The increasing use of mobile devices in the frame of online surveys has been accompanied by the development of research apps. These research apps have the potential to facilitate the process for respondents (e.g. being able to complete surveys when Internet is not available provides more freedom on when and where participants can participate) and fieldwork companies (e.g. the possibility to use push notifications could lead to higher participation rates). However, previous research suggests that panelists may also be reluctant to install an app. In this study, we answer research questions related to the knowledge and use of the Netquest app. We found that a majority of panelist did not know about the app and although sending invitations significantly increased its installation, the overall total of respondents installing the app remained low. Furthermore, the profile of those who installed the app differs from those who did not. The participation of panelists after they installed the app seems stable. The main reason for installing the app is comfort while the main reason for not installing relates to space/battery usage. Most of those who did not install could accept to install the app.

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Do Millennials differ in terms of survey participation?

Cited by 18 publications

References 10 publications

Completion Conditions and Response Behavior in Smartphone Surveys: A Prediction Approach Using Acceleration Data

Completion Conditions and Response Behavior in Smartphone Surveys: A Prediction Approach Using Acceleration Data

Expectativas laborales de los centennials para los negocios turísticos de Cancún

Use of a research app in an online opt-in panel: The Netquest case

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