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New publication: “Shevchenko, Y., Kuhlmann, T., & Reips, U.-D. (2021). Samply: A user-friendly smartphone app and web-based means of scheduling and sending mobile notifications for experience-sampling research. Behavior Research Methods.”

The year 2021 is off to an exciting start for the iScience group: Our paper on “Samply” has just been accepted:

 

Shevchenko, Y., Kuhlmann, T., & Reips, U.-D. (2021). Samply: A user-friendly smartphone app and web-based means of scheduling and sending mobile notifications for experience-sampling research. Behavior Research Methods.

 

Abstract
Undertaking an experience-sampling study via smartphones is complex. Scheduling and sending mobile notifications often requires the use of proprietary software that imposes limits on participants’ operating systems (whether iOS or Android) or the types of questions that can be asked via the application. We have developed an open-source platform—Samply—which overcomes these limitations. Researchers can access the entire interface via a browser, manage studies, schedule and send notifications linking to online surveys or experiments created in any Internet-based service or software, and monitor participants’ responses—all without the coding skills usually needed to program a native mobile application. Participants can download the Samply Research mobile application for free from Google Play or the App Store, join a specific study, receive notifications and web links to surveys or experiments, and track their involvement. The mobile application leverages the power of the React Native JavaScript library, which allows it to be rendered in the native code of Android and iOS mobile operating systems. We describe Samply, provide a step-by-step example of conducting an experience-sampling study, and present the results of two validation studies. Study 1 demonstrates how we improved the website’s usability for researchers. Study 2 validates the mobile application’s data recording ability by analyzing a survey’s participation rate. The application’s possible limitations and how mobile device settings might affect its reliability are discussed.

https://link.springer.com/article/10.3758/s13428-020-01527-9

 

We are looking forward to the further academic year!