Bipolar vs. unipolar scaling in dynamic network analyses of Ecological Momentary Assessment data
Bipolar scaling enhances EMA data quality by reducing zero inflation and increasing variability, resulting in richer dynamic network models. Further research is needed to confirm these findings in clinical populations.
Authors
- Ulrich Stangier (ORCID: https://orcid.org/0000-0002-1945-1704)
- Stefan G. Hofmann (ORCID: https://orcid.org/0000-0002-3548-9681)
- Arwin Nemani
- Mareike Ebert
- Viktoria Kohl
- Lucie Sendig
- Bettina Hufschmidt
- Desiree Bonarius
Institutions
- Goethe University Frankfurt (DE)
- Philipps University of Marburg (DE)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1371/journal.pone.0314102
- Citations
- 4
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 8.47
Funders
- LOEWE Zentrum AdRIA