How to Select Participants for an Experience Sampling Method (ESM) Study: Sampling Techniques _ Next-Gen Research Techniques

🎙️ Selecting the Right Participants for ESM Research – Why It Matters!
The success of an ESM study depends on choosing the right participants. Here’s how to do it effectively.

In this episode, we discuss key sampling techniques for Experience Sampling Method (ESM) research, including random sampling, stratified sampling, and convenience sampling. Learn how these methods impact data quality, generalizability, and study reliability—and how to balance feasibility with methodological rigor. We’ll also cover strategies to minimize bias and maximize participant diversity to ensure your study yields meaningful and applicable results.

This content is based on a LinkedIn article from the Next-Gen Research Techniques newsletter. Read the full article here: https://www.linkedin.com/newsletters/next-gen-research-techniques-7173641215651827712/. The voice in this episode is AI-generated.

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This podcast episode is sponsored by Fibion Inc.
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Explore our Wearables, Experience sampling method (ESM), Sleep, Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles.

Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods.

Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide.

Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview.

Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ".

For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability.

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