Experience Sampling Methods: A Discussion of Critical Trends and Considerations for Scholarly Advancement

By Allison S. Gabriel, Nathan P. Podsakoff, D. Beal, Brent A. Scott, Sabine Sonnentag, John P Trougakos, M. Butts. Organizational Research Methods, 2018

597 citations recorded by the source corpus.

In the organizational sciences, scholars are increasingly using experience sampling methods (ESM) to answer questions tied to intraindividual, dynamic phenomenon. However, employing this method to answer organizational research questions comes with a number of complex—and often difficult—decisions surrounding: (1) how the implementation of ESM can advance or elucidate prior between-person theorizing at the within-person level of analysis, (2) how scholars should effectively and efficiently assess within-person constructs, and (3) analytic concerns regarding the proper modeling of interdependent assessments and trends while controlling for potentially confounding factors. The current paper addresses these challenges via a panel of seven researchers who are familiar not only with implementing this methodology but also related theoretical and analytic challenges in this domain. The current paper provides timely, actionable insights aimed toward addressing several complex issues that scholars often face when implementing ESM in their research.

Subfields: Applied Psychology, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/59ab672ffa446121716f61fff3c71cea7d6e7803

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

  1. L. Steed
  2. Jessica R. Methot
  3. Emily H. Rosado-Solomon
  4. Hadar Nesher Shoshan
  5. Joseph T. Liu
  6. P. Downes
  7. Sejin Keem
  8. Laura Venz

In Experimental and Cognitive Psychology

  1. Jessica R. Methot
  2. Emily H. Rosado-Solomon
  3. Hadar Nesher Shoshan
  4. P. Downes
  5. Sejin Keem
  6. Laura Venz
  7. Allison S. Gabriel

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