Developmental scientists are often interested in subgroups of people who share commonalities in aspects of development; these subgroups often cannot be captured directly but instead must be inferred from other information. Mixture models can be used in these situations. Two specific types of mixture models, latent profile transition analyses and…

Children who enter the child welfare system at a young age are at risk for a myriad of developmental, physical, and mental health problems. The risks faced by these vulnerable young children may be exacerbated by placement disruptions during foster care. This study utilizes administrative data from Illinois to explore the potential of child care…

The current study tested whether the purely amodal cue of contingency elicits orientation following behavior in 8-month-old infants. We presented 8-month-old infants with automated objects without human features that did or did not react contingently to the infants' fixations recorded by an eye tracker. We found that an object's occasional…

Longitudinal data analysis has long played a significant role in empirical research within the developmental sciences. The past decade has given rise to a host of new and exciting analytic methods for studying between-person differences in within-person change. These methods are broadly organized under the term "growth curve models." The…

Increasing working memory (WM) capacity is often cited as a major influence on children's development and yet WM capacity is difficult to examine independently of long-term knowledge. A computational model of children's nonword repetition (NWR) performance is presented that independently manipulates long-term knowledge and WM capacity to determine…

This study is designed to determine whether data obtained cross-sectionally from a sample of subjects in the middle childhood range on selected personality characteristics could be well described by a concave parabolic curve and thus linked to the closure behaviour elicited from the subjects. Specifically, the investigation seeks to determine if…

Analyzes the logical basis of testing developmental order hypotheses with categorical measures. Argues that depending on whether saltatory or continuous developmental changes are being assessed, the observed relationship between categorical measures yields different types of information about developmental ordering. Maintains that when change is…

Shares three ideas concerning how to evaluate the practical importance of developmental findings to make them more useful to policymakers: (1) statistical significance tests need to be accompanied by effect size estimates; (2) meta-analyses are helping in using all existing data when examining issues involved in policy debates; and (3) researchers…

Researchers in the fields of cognitive and language development have made less use of large-scale longitudinal designs and of person-centered approaches to data analysis than have researchers in the fields of social and personality development. It is argued that differences among domains of developmental psychology in the research methods employed…

Suggests that testing developmental ordering hypotheses is difficult because rare use of ratio scales prevents direct comparison of measures. Demonstrates that the observed data pattern is constrained by the underlying relationship--although observed data pattern may not reflect the exact relationship, it limits possible relationships. Shows the…

Implications of the findings for the programming of institutions for the retarded are discussed. (Authors)