The ManyMoments project aims to improve the replicability and generalizability of the findings obtained with intensive longitudinal data (e.g., experience sampling method, ambulatory assessment, etc.).

For that purpose, we

  • compile information about tools that help improving the replicability and generalizability in the work with intensive longitudinal data
  • conduct multi-lab data collections with the experience sampling method in multiple contexts (e.g., multiple universities, multiple countries, etc)
  • plan to conduct many-analysts re-analysis of existing ESM datasets pooled across multiple data sources to test whether published findings replicate and generalize
  • develop analytical methods for a better operationalization of replicability and generalizability in intensive longitudinal data
  • initiate discussions about the need and solutions for more replicable and generalizable ESM research in conferences and meetings.

Unconferences, Hackathons, Collaboration

We seek to get in contact with anyone interested in the ManyMoments idea through conferences, hackathons, and open science collaboration tools, such as the Open Science Framework. You can find us here:

 

Moeller, J. & Bergmann, C. (June 25, 2021). ManyMoments - Improving the replicability and generalizability of intensive longitudinal studies. Unconference at the 2021 meeting of the Society for the Improvement of Psychological Science (SIPS). Friday, June 25, 8 a.m.-11 a.m.

  • see here the landing page for this unconference
  • see here the OSF page for this unconference
  • and see here the slides (to be added).

 

The ManyMoments Consortium (2021). ManyMoments - Using Multi-Lab Collaboration to Improve Replicability of Intensive Longitudinal Studies. Paper to be presented at he 2021 meeting of the Society for Ambulatory Assessment.

  • see here the abstract (to be added)

A first multi-lab data collection with the Experience Sampling Method on the topic of situational learning motivation is currently in preparation. Get in contact with us if you would like to join!

A first multi-analysts study is currently in preparation. Get in contact with us if you would like to join!

Upcoming publications will be found here.