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Longitudinal Studies01:26

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
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formr: A study framework allowing for automated feedback generation and complex longitudinal experience-sampling

Ruben C Arslan1, Matthias P Walther2, Cyril S Tata3

  • 1Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. ruben.arslan@gmail.com.

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Summary
This summary is machine-generated.

formr is an open-source framework for reproducible scientific research. It simplifies longitudinal data collection via automated reminders and integrates R for advanced features like adaptive testing and diverse data sources.

Keywords:
FeedbackOnlineRStudySurveyWeb

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Area of Science:

  • Psychology
  • Computer Science
  • Research Methodology

Background:

  • Reproducibility in scientific research is enhanced by open-source software.
  • Existing tools lack dedicated support for longitudinal data collection on digital devices.
  • There is a need for flexible frameworks to manage complex study designs.

Purpose of the Study:

  • To introduce formr, a novel open-source study framework.
  • To facilitate longitudinal and experience-sampling data collection.
  • To enable advanced features through integration with the R programming language.

Main Methods:

  • formr provides automated email and text message reminders for data collection.
  • It integrates with OpenCPU, a web-based API for R.
  • Researchers can implement features like adaptive testing and data integration.

Main Results:

  • formr supports diverse study designs, including dyadic feedback, long-term social network analysis, and daily diary studies.
  • Automated reminders streamline participant engagement.
  • Integration with R allows for complex analyses and feedback mechanisms.

Conclusions:

  • formr enhances the feasibility and sophistication of scientific studies, particularly those involving longitudinal data.
  • The framework supports reproducible research by offering a robust and flexible platform.
  • formr empowers researchers to collect and analyze complex data efficiently.