APS
2026 APS Annual Convention · 2026
Evaluating the Measurement Invariance of Adolescent Internalising Symptoms Using Integrative Data Analysis and Regularized Moderated Nonlinear Factor Analysis
- Reihaneh Farzinnia
University of Manchester - Louise Black
University of Manchester - Neil Humphrey
University of Manchester
Abstract
This exploratory study uses integrative data analysis (IDA) and regularized moderated nonlinear factor analysis (MNLFA) to test the measurement invariance of self-reported emotional difficulties across ages 11–24, cohorts, sex, survey mode, and studies simultaneously. We aim to distinguish genuine change in emotional symptoms across adolescence from potential measurement biases.
