Different algorithms, different models

Abstract This study assesses the extent to which two main Configurational Comparative Methods (CCMs), i.e. Qualitative Analysis (QCA) and Coincidence (CNA), produce different models. It further explains how this non-identity is due algorithms upon both methods are based, namely QCA’s Quine–McCluskey algorithm CNA algorithm. I offer an overview of fundamental differences between QCA demonstrate underlying on three data sets ascending proximity real-world data. Subsequent simulation studies in scenarios varying sample sizes degrees noise show high overall ratios parsimonious solution atomic for analytical choices, consistency coverage threshold values ways derive solution. Clarity contrasts supposed enable scholars make more informed decisions their methodological approaches, enhance understanding what happening behind results generated by software packages, better navigate interpretation results. consequences provide a basis discussion about method variants thereof successful deriving search target.