“…Current analyses have employed almost all the most common statistical techniques for clustering data, ranging from distanced-based procedures like hierarchical (Runge et al, 2018) and k-means clustering (Ipsos MORI, 2013) to model-based procedures like latent class (Schäfer et al, 2018) and latent profile analysis (Pullman et al, 2018), sometimes with running a factor analysis in a first step (Kawamoto et al, 2011) and sometimes without (Guenther & Weingart, 2017). Other studies did not employ multivariate statistics at all and applied "manual clustering" by defining which combinations of variable expressions would lead to which kind of segment (Cámara et al, 2018;Nisbet & Markowitz, 2014;Sweeney Research, 2011).…”