The potential of early parent-child interactions for children’s development is widely acknowledged (e. g. NICHD-ECCRN, 2003; Lehrl et al., 2020). However, little is known about the internal structure and potential interrelations of different features of these interactions. In longitudinal educational research a general factor approach to parent-child interaction is commonly used in statistical analyses (e. g. Linberg et al., 2020; Weinert et al., 2017).
Drawing on the general “SSCO model of learning environments” (Bäumer et al., 2011) as well as approaches in other educational contexts like preschool, which confirm a three dimensional structure in group-settings (e. g. Bihler et al., 2018), the differentiation of two dimensions of parental interaction behavior (cognitive stimulation and emotional support) is proposed for the dyadic setting. This model builds on, both theoretical (e. g. Bornstein, 2002) and empirical (e. g. Landry et al., 2008) foundations. So far, only a few investigations have studied the factorial structure of early parent-child interactions (e. g. Linberg, 2018).
The following research question leads the investigation: “Is there empirical support for a differentiated structure of parental interaction behavior in the NEPS-SC1 observational data of parent-child interactions?”
Using observational data from the first three waves of NEPS-SC1 (N = 739) the proposition is evaluated through longitudinal structural equation modeling. Preliminary results favor a two-factor model of parental interactional behavior in the all three waves (Χ2 (38) = 186.92, p < .0001, CFI = .952, RMSEA = .073, AIC = 18614.807, BIC = 18854.283) over a general factor model (Χ2 (52) = 304.48, p < .0001, CFI = .924, RMSEA = .081, AIC = 18704.371, BIC = 18879.373). Further development, implications and potential difficulties of this approach are discussed. Differential modeling of parent-child interactions adds value to the assessment of specific effects of its dimensions on different domains of child development as well as, both the questions of timing and of potential interaction effects between behavior dimensions, under a longitudinal perspective (e. g. Vallotton et al., 2017).