The Experience Sampling Method
By R. Larson, Mihály Csíkszentmihályi. 2014
1,658 citations recorded by the source corpus.
Subfields: Applied Psychology, Experimental and Cognitive Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/3ea23f99d1099ba17f894a56efa1a8be07febcbc
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
- Sabine Sonnentag
- H. Zacher
- Daria J. Kuss
- Neal M. Ashkanasy
- Allison S. Gabriel
- Reinhard Pekrun
- Thomas Goetz
- John P Trougakos
In Experimental and Cognitive Psychology
- Thomas Goetz
- Reinhard Pekrun
- Nathan C. Hall
- A. Frenzel
- U. Nett
- Eiko I. Fried
- E. Becker
- Sacha Epskamp
In Social Psychology
Citations in the corpus
- Appearance-based gaze estimation in the wild (2015, methodology): “We further opted to use an experience sampling approach to ensure images were collected regularly throughout the data collection period [19].”
- Emotions in the Workplace (2017, methodology): “In an effort to clarify the controversy, Ashkanasy Daus (2005) identified three approaches to Mayer-Salovey four-branch model and is measured using an IQ-style ability measure called the MSCEIT (Mayer-Salovey-Caruso Emotional Intelligence Test) (Mayer et the construct using self-or peer-report…”
- Employee Green Behavior (2015, background): “Researchers might also do well to investigate the experience of emotions as a result of engaging in EGBs using experience sampling (Larson & Csikszentmihalyi, 1983).”
- The Experience Sampling Method on Mobile Devices (2017, background): “Larson and Csikszentmihalyi (1983) research alliance ,” in which participants understand the importance of their contribution to the study to ensure high response rates.”
- Beyond Screen Time: Identity Development in the Digital Age (2020, methodology): “For example, experimental experience sampling methods studies (Larson & Csikszentmihalyi, 2014) could be designed in which adolescents are assigned to either (a) go about their daily activities—digitally and offline—while passive data on their mobile devices is collected (e.g. with the EARS tool:…”