Supplementary Material for the Manuscript "Modeling Disengaged Responding in Online Survey Data"
Abstract
This repository contains supplementary material for the manuscript "Dependent Latent Class Partial Credit Models for Careless and Insufficient Effort Responding in Online Survey Data". In this research project, we propose a novel dependent latent class partial credit model with two-level prediction (DLC-PCM-TL) to account for disengaged responding in online survey data, leveraging response times as additional information. In this repository, you can find our study materials including analysis code, empirical data, and the Supplementary Material file (including Appendix and Supplementary Tables and Figures).
Fields of Study & Subjects
Survey Methodology and Nonresponse
Survey Sampling and Estimation Techniques
Advanced Causal Inference Techniques
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 26 May 2026
- Document type
- Preprint