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A template and tutorial for preregistering studies using passive smartphone measures.

Anna M Langener1,2,3, Björn S Siepe4, Mahmoud Elsherif5

  • 1Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands. a.m.langener@rug.nl.

Behavior Research Methods
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Passive smartphone measures offer valuable behavioral insights but lack transparency. This study introduces a preregistration template to improve reproducibility in digital phenotyping research.

Keywords:
Ambulatory assessmentDigital phenotypingMobile sensingOpen sciencePreregistrationReproducibilityTransparency

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Area of Science:

  • Digital phenotyping
  • Behavioral science
  • Biomedical research

Background:

  • Passive smartphone measures (PSMs) are increasingly used in research for unobtrusive data collection.
  • PSMs leverage sensors like GPS and accelerometers to capture real-world behavior.
  • Methodological challenges and lack of transparency in PSM data collection and analysis hinder reproducibility.

Purpose of the Study:

  • To address the lack of transparency and enhance reproducibility in digital phenotyping studies.
  • To develop a user-friendly preregistration template specifically for studies using passive smartphone measures.
  • To provide guidance for researchers on making informed decisions in data collection, cleaning, and analysis.

Main Methods:

  • Development of a structured preregistration template tailored for digital phenotyping studies.
  • Explanation of the template and provision of resources for researchers.
  • Focus on enhancing transparency in decision-making processes for PSM studies.

Main Results:

  • A novel preregistration template has been created to standardize digital phenotyping study protocols.
  • The template aims to make researchers' methodological choices explicit and understandable.
  • Resources are provided to aid researchers in navigating complex data handling decisions.

Conclusions:

  • Adoption of preregistration is crucial for improving the transparency and reproducibility of passive smartphone measure studies.
  • The developed template offers a standardized framework to guide researchers in complex digital phenotyping research.
  • Implementing this template will elevate research standards and foster greater trust in findings derived from passive smartphone data.