Happiness Analyzer Smartphone Application¶
Short Description: Understanding whether nationally representative datasets can be collected using apps to collect data is crucial. To address this question, we built a new happiness 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.
Methodological Details: The eight chapter of Ludwigs’ doctoral thesis contains a detailed report of the methodology. pdf
Incentives: In the first wave of the module (2015), participants did not get any reward for using the study app. In the second wave (2016), they were offered a 50 Euro Amazon voucher for using the app.
Available Papers
Ludwigs, Kai, Richard Lucas, Ruut Veenhoven, David Richter, and Lidia Arends. 2019. Can Happiness Apps Generate Nationally Representative Datasets? - a Case Study Collecting Data on People’s Happiness Using the German Socio-Economic Panel. Applied Research in Quality of Life (online first). (https://doi.org/10.1007/s11482-019-09723-2 );
Ludwigs, Kai. 2018. The Happiness Analyzer: A New Technique for Measuring Subjective Well-Being (thesis). Rotterdam: Erasmus University Rotterdam.
Contact |
Syear |
Respondents |
Dataset |
Variables |
Availability |
Field |
Method |
Replication |
---|---|---|---|---|---|---|---|---|
Kai Ludwigs (Happiness Research Organisation), Richard E. Lucas (Michigan State University), Ruut Veenhoven (Erasmus University Rotterdam, Rotterdam, Netherlands) |
2016 |
~2760 |
inno |
im_hap2016, ihaapp, ihamobsp, ihaappev, ihamobbs, ihaappev1, ihaapph, ihamob |
04/2019 |
Psychology |
Experience sampling & day reconstruction method |