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formr: A study framework allowing for automated feedback generation and complex longitudinal experience-sampling studies using R.

Authors
  • Arslan, Ruben C1
  • Walther, Matthias P2
  • Tata, Cyril S3
  • 1 Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. [email protected] , (Germany)
  • 2 Technical Workgroup, University of Münster, Münster, Germany. , (Germany)
  • 3 Technical Workgroup, University of Göttingen, Göttingen, Germany. , (Germany)
Type
Published Article
Journal
Behavior Research Methods
Publisher
Springer - Psychonomic Society
Publication Date
Feb 01, 2020
Volume
52
Issue
1
Pages
376–387
Identifiers
DOI: 10.3758/s13428-019-01236-y
PMID: 30937847
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Open-source software improves the reproducibility of scientific research. Because existing open-source tools often do not offer dedicated support for longitudinal data collection on phones and computers, we built formr, a study framework that enables researchers to conduct both simple surveys and more intricate studies. With automated email and text message reminders that can be sent according to any schedule, longitudinal and experience-sampling studies become easy to implement. By integrating a web-based application programming interface for the statistical programming language R via OpenCPU, formr allows researchers to use a familiar programming language to enable complex features. These can range from adaptive testing, to graphical and interactive feedback, to integration with non-survey data sources such as self-trackers or online social network data. Here we showcase three studies created in formr: a study of couples with dyadic feedback; a longitudinal study over months, which included social networks and peer and partner ratings; and a diary study with daily invitations sent out by text message and email and extensive feedback on intraindividual patterns.

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