Validating Experience Sampling Data across Timeframes, Datasets, and Data Types

This symposium brings together four complementary approaches that collectively address interpretability, reliability, and generalizability in experience sampling research. The talks examine response patterns across timeframes, the reliability of single-items and passive sensing indicators, and the generalizability of findings across datasets, offering a unique perspective on validation challenges in the field.