We aim to provide additional insights into the use of RLH, Latent Class (LC) and Scaled-Adjusted Latent Class (SALC) models to identify poor quality respondents using data from a real-world global study. We will also investigate how these methods can improve the validity of MaxDiff findings, based on corroborating data from the same study.