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Psychologists have become increasingly interested in the intra-individual variability of psychological measures as a meaningful distinguishing characteristic of persons. Assessments of intra-individual variability are frequently based on the repeated administration of self-report rating scale instruments, and extreme response style (ERS) has the potential to bias the measurement of intra-individual variability in psychological constructs (Baird, Lucas & Donnellan, 2017). The current study proposes a multilevel extension of multidimensional nominal response model (ML-MNRM) to explore such bias for modeling extreme response styles applied to repeated measures rating scale data.