Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used…

We used structural equation modeling in the Early Childhood Longitudinal Study--Kindergarten Cohort (N = 17,020) to explore the influence of having an older sibling on kindergarten-age focal children's cognitive self-regulation. In model 1, we tested how having a sibling who is generally older than the focal child contributes to the focal child's…

Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…

This study examined the longitudinal association between fathers' early involvement in routine caregiving, literacy, play, and responsive caregiving activities at 9 months and maternal depressive symptoms at 4 years. Data for 3,550 children and their biological parents were drawn from the Early Childhood Longitudinal Study-Birth Cohort data set.…