“…Although these four faces are theoretically distinct, some studies have not differentiated between them (e.g., Kellermann, 2004; Oetzel et al, 2001; Ting-Toomey & Oetzel, 2001). Moreover, even when four faces were measured, some studies have reported no factor analyses (e.g., Cai & Wilson, 2000; Wilson et al, 1998), or principle component analyses (PCA) for separate unidimensionality (e.g., Wilson, Kunkel, Robson, Olufowote, & Soliz, 2009) or multidimensionality (e.g., Johnson, Roloff, & Riffee, 2004). PCA is a procedure for data reduction when a researcher does not want to include all the original measures in analyses and no theoretical knowledge can be incorporated (Park, Dailey, & Lemus, 2002).…”