PsyArXiv
metadata only
Language-based Assessments for Experienced Well-being: Accuracy and External Validity Across Behaviors, Traits, and States
Self-reported rating scales have been central to social science for decades, even though language is our primary form of communication. We used language analysis with machine learning to compare self-reported ratings with language-based responses of experienced well-being (i.e., daily emotions) link
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Language-based Assessments for Experienced Well-being: Accuracy and External Validity Across Behaviors, Traits, and States#1330584
- Speech-based Assessment of Relapse Risk in People With Psychosis#868925
- Well-Being and Health-Related Quality of Life in Melanoma Patients During COVID-19 Pandemic#1197200
- Self-Rated Health as a Prospective Predictor of Daily Symptoms and Illness Behavior#258739
- Shortened Depression Assessment Study#1096749
Record · ID 1330719
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive