Supplementary Material for the Manuscript "Modeling Disengaged Responding in Online Survey Data"

Authors: Jieyuan Dong
Cited by: 0

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