Duncan et al. (2007) presented a new methodology for identifying kindergarten readiness factors and quantifying their importance by determining which of children's developing skills measured around kindergarten entrance would predict later reading and math achievement. This article extends Duncan et al.'s work to identify kindergarten readiness factors with 6 longitudinal data sets. Their results identified kindergarten math and reading readiness and attention as the primary long-term predictors but found no effects from social skills or internalizing and externalizing behavior. We incorporated motor skills measures from 3 of the data sets and found that fine motor skills are an additional strong predictor of later achievement. Using one of the data sets, we also predicted later science scores and incorporated an additional early test of general knowledge of the social and physical world as a predictor. We found that the test of general knowledge was by far the strongest predictor of science and reading and also contributed significantly to predicting later math, making the content of this test another important kindergarten readiness indicator. Together, attention, fine motor skills, and general knowledge are much stronger overall predictors of later math, reading, and science scores than early math and reading scores alone.

Gross motor development (supine, prone, rolling, sitting, crawling, walking) and movement abnormalities were examined in the home videos of infants later diagnosed with autism (regression and no regression subgroups), developmental delays (DD), or typical development. Group differences in maturity were found for walking, prone, and supine, with the DD and © Springer Scicnce+Business Media, LLC 2007 Correspondence to: Sally Ozonoff, sjo7.onoff@ucdavis.edu. HHS Public Access Author Manuscript Author ManuscriptAuthor Manuscript Author ManuscriptAutism-No Regression groups both showing later developing motor maturity than typical children. The only statistically significant differences in movement abnormalities were in the DD group; the two autism groups did not differ from the typical group in rates of movement abnormalities or lack of protective responses. These findings do not replicate previous investigations suggesting that early motor abnormalities seen on home video can assist in early identification of autism.

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Bidirectional theories of social development have been around for over 40 years (Bell, 1968), yet they have been applied primarily to the study of antisocial development. In the present study, the reciprocal relationship between parenting behavior and children's socially competent behaviors were examined. Using the National Institute of Child Health and Development Study of Early Child Care data set (NICHD Early Child Care Research Network, 2005), bidirectional relationships between parental sensitivity and children's prosocial behavior were modeled using latent variables in structural equation modeling for mothers and fathers, separately. Children and their parents engaged in structured interactions when children were 54-month-olds, 3rd graders, and 5th graders, and these interactions were coded for parental sensitivity. At 3rd, 5th, and 6th grades, teachers and parents reported on children's prosocial behavior. Parental education and child gender were entered as covariates in the models. The results provide support for a bidirectional relationship between children's prosocial behavior and maternal sensitivity (but not paternal sensitivity) in middle childhood. The importance of using a bidirectional approach to examine the development of social competence is emphasized.

The structure of the human brain changes in several ways throughout childhood and adolescence. Perhaps the most salient of these changes is the strengthening of white matter tracts that enable distal brain regions to communicate with one another more quickly and efficiently. Here, we sought to understand whether and how white matter changes contribute to improved reasoning ability over development. In particular, we sought to understand whether previously reported relationships between white matter microstructure and reasoning are mediated by processing speed. To this end, we analyzed diffusion tensor imaging data as well as data from standard psychometric tests of cognitive abilities from 103 individuals between the ages of 6 and 18. We used structural equation modeling to investigate the network of relationships between brain and behavior variables. Our analyses provide support for the hypothesis that white matter maturation (as indexed either by microstructural organization or volume) supports improved processing speed, which, in turn, supports improved reasoning ability.