EconPapers    
Economics at your fingertips  
 

Can Happiness Apps Generate Nationally Representative Datasets? - a Case Study Collecting Data on People’s Happiness Using the German Socio-Economic Panel

Kai Ludwigs (), Richard Lucas, Ruut Veenhoven, David Richter and Lidia Arends
Additional contact information
Kai Ludwigs: Happiness Research Organisation
Richard Lucas: Michigan State University
Lidia Arends: Erasmus University Rotterdam

Applied Research in Quality of Life, 2020, vol. 15, issue 4, No 10, 1135-1149

Abstract: Abstract In the last few years, apps have become an important tool to collect data. Especially in the case of data on people’s happiness, two projects have received substantial attention from both the media and the scientific world: “Track your happiness” from Killingsworth and Gilbert (Science, 330, 932-932, 2010), and “Mappiness,” from MacKerron (2012). Both happiness apps used the experience sampling method to ask people a few times per day how they feel, what they do, with whom, and where. The collected data are then displayed for the participants in simple graphs to help them understand what makes them happy and what does not. Both studies have collected considerable data without giving participants any financial rewards. But quantity is not everything that matters with respect to data collection, and thus, understanding whether nationally representative datasets can be collected using such happiness apps is crucial. To address this question, we built a new happiness app and ran a case-study with over 4000 participants of the innovation sample of the German Socio-Economic Panel (Richter and Schupp in Schmollers Jahrbuch, 135(3), 389–399, 2015). Participants were informed that the app collects data on everyday happiness after a household interview and asked whether they would like to use the app. In the first year (2015), participants did not receive any reward, and in the second year (2016), a different group of participants received a 50 Euro Amazon voucher for their participation. The results showed that our happiness app cannot generate nationally representative datasets if it is not controlled that all demographic sub-groups have access to a smartphone, are highly motivated with a sufficient reward and data is collected with quota sampling.

Keywords: App surveys; Representativity; Happiness; Experience sampling method; Day reconstruction method (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11482-019-09723-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ariqol:v:15:y:2020:i:4:d:10.1007_s11482-019-09723-2

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11482

DOI: 10.1007/s11482-019-09723-2

Access Statistics for this article

Applied Research in Quality of Life is currently edited by Daniel Shek

More articles in Applied Research in Quality of Life from Springer, International Society for Quality-of-Life Studies
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-22
Handle: RePEc:spr:ariqol:v:15:y:2020:i:4:d:10.1007_s11482-019-09723-2