(2022):
How to distinguish between passive and active mobile data collection.
(e-only).
Naomi Sugie
(Ed.)
SAGE Doing Research Online.
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8581 results
(2022):
Digital trace data. Modes of data collection, applications, and errors at a glance.
Pp. 100-118 in:
Uwe Engel, Anabel Quan-Haase, Sunny Liu, Lars E. Lyberg
(Eds.)
Handbook of Computational Social Science. Volume 1. Theory, Case Studies and Ethics.
London:
Routledge.
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(2022):
Using smartphones to capture and combine self-reports and passively measured behavior in social research.
Journal of Survey Statistics and Methodology, 10, issue 4, pp. 863–885.
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(2022):
A Review of the Use of Google Trends Data in Survey and Public Opinion Research.
[AAPOR 77th Annual Conference, Chicago, IL, May 11th to May 13th, 2022]
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(2022):
Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensors.
Computers in Human Behavior, 127, issue February 2022, (article no. 107054).
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(2022):
Measuring Facebook use: The accuracy of self-reported data versus digital trace data.
[Joint Statistical Meetings 2022, Washington, DC, August 06th to August 11th, 2023]
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(2022):
Non-participation in smartphone data collection using research apps.
Journal of the Royal Statistical Society: Series A, Statistics in Society, 185, issue S2, pp. S225-S245.
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(2022):
Does Contact with Foreigners Reduce Worries about Immigration? A Longitudinal Analysis in Germany.
European Sociological Review, 38, issue 2, pp. 189–201.
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(2022):
Public (vs. private) self-monitoring of eating via social media – effects on eating and underlying mechanisms.
[52nd Congress of the German Psychological Society (Deutsche Gesellschaft für Psychologie, DGPs) , Hildesheim, September 10th to September 15th, 2022]
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(2022):
A theory-based video intervention to enhance communication and engagement in online health communities: Two experiments.
Health Psychology and Behavioral Medicine, 10, issue 1, pp. 199–228.
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