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Related Concept Videos

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
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ESMira: A decentralized open-source application for collecting experience sampling data.

David Lewetz1, Stefan Stieger2

  • 1Department of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, A-3500, Krems an der Donau, Austria. david.lewetz@kl.ac.at.

Behavior Research Methods
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Summary
This summary is machine-generated.

ESMira is a free, open-source mobile app and server for experience sampling method (ESM) research. It offers researchers full data control, enhanced security, and user-friendly features for complex study designs.

Keywords:
Ambulatory assessmentAndroidDecentralizedEcological momentary assessmentOpen-sourceSmartphonesiOS

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Area of Science:

  • Psychology
  • Computer Science
  • Research Methodology

Background:

  • Experience sampling method (ESM) research requires specialized tools for data collection.
  • Existing platforms may have limitations in terms of cost, data control, or technical requirements.

Purpose of the Study:

  • Introduce ESMira, a novel, free, and open-source platform for ESM research.
  • Highlight ESMira's features, focusing on ease of use, data security, and administrative control.
  • Demonstrate the platform's capability to support complex study designs and ethical considerations.

Main Methods:

  • Development of a decentralized server and mobile application (Android, iOS).
  • Implementation of features for informed consent, data encryption, and anonymity.
  • Focus on a user-friendly interface for study setup and participant interaction.
  • Inclusion of advanced functionalities like anonymous chat and a reward system.

Main Results:

  • ESMira provides a free, open-source solution for ESM research.
  • The platform offers researchers significant control over study data and design.
  • ESMira supports complex sampling strategies and participant engagement features.
  • It ensures data security and participant anonymity through robust design.

Conclusions:

  • ESMira empowers researchers with a flexible, secure, and cost-effective tool for ESM studies.
  • The platform's decentralized and open-source nature promotes independence and collaboration.
  • ESMira facilitates the implementation of sophisticated research designs while maintaining ethical standards.