Numerous approaches to analyzing dyadic data require that people in a dyad be distinguishable from one another (Kenny et al., 2006).
Although a significant few nonprobability samples (qualitative and quantitative) consist of information from both lovers in relationships, a majority of these research reports have analyzed people in place of adopting techniques that are designed to analyze dyadic information (for quantitative exceptions, see Clausell & Roisman, 2009; Parsons, Starks, Gamarel, & Grov, 2012; Totenhagen et al., 2012; for qualitative exceptions, see Moore, 2008; Reczek & Umberson, 2012; Umberson et al, in press). Yet family that is leading call to get more research that analyzes dyadic-/couple-level information (Carr & Springer, 2010). Dyadic data and techniques supply a strategy that is promising learning exact exact same- and different-sex couples across gendered relational contexts as well as further considering how gender identity and presentation matter across and within these contexts. We currently touch on some unique components of dyadic information analysis for quantitative studies of same-sex partners, but we refer visitors somewhere else for comprehensive guides to analyzing quantitative dyadic information, in both basic (Kenny, Kashy, & Cook, 2006) and especially for same-sex couples (Smith, Sayer, & Goldberg, 2013), as well as for analyzing qualitative dyadic information (Eisikovits & Koren, 2010). (altro…)
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