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

• Published in: Behavior research methods Vol. 52; no. 1; pp. 376 - 387
• Main Authors: Arslan, Ruben C., Walther, Matthias P., Tata, Cyril S.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2020; Springer Nature B.V
• Subjects: Automation; Behavioral Science and Psychology; Cognitive Psychology; Computers; Data Collection; Electronic Mail; Feedback; Information Storage and Retrieval; Longitudinal Studies; Programming Languages; Psychology; Reproducibility of Results; Researchers; Sampling; Sampling Studies; Social networks; Social organization; Study; Survey; R; Online; Web; Feedback
• ISSN: 1554-3528; 1554-351X; 1554-3528
• DOI: 10.3758/s13428-019-01236-y

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.