Families with young children in homeless shelters: Developmental contexts of multisystem risks and resources.

We apply a multisystem perspective to three aims relevant to resilience for young children in emergency and transitional homeless shelters. We consider profiles of risks and resources before shelter, early childhood program enrollment during shelter, and the likelihood of returning to shelter or having a subsequent child welfare placement. We used longitudinal, city-wide data from multiple sources integrated at the individual level across the lifespan for 8 birth cohorts. Young children (N = 1,281) stayed in family shelters during an 18-month period during a multisystem intervention. Risk factor rates were high as were rates of early childhood program enrollment (66.1% in any program; 42.3% in a high-quality program), which may suggest positive effects of the multisystem intervention. Multilevel latent class analysis revealed four profiles, considering prior shelter stays, prior child welfare placements, prior elevated lead levels, perinatal factors (teenage mother, prenatal care, low maternal education, and poor birth outcomes), demographics, and early childhood program enrollment and quality. One profile with higher rates of child welfare placement before the shelter stay and considerable enrollment in high-quality early childhood programs corresponded to lower rates of subsequent child welfare placement. Profiles did not differ on the likelihood of returning to shelter.

Perceptions of support in shelter environments for caregivers and young children experiencing family homelessness.

BACKGROUND: Young children who stay with their families in homeless shelters face chronic challenges related to extreme poverty and acute risks from stressful events surrounding the loss of housing and move to shelter. These adversities increase the likelihood of a range of poor developmental outcomes. Consistent with the risk and resilience perspective, however, many children who experience family homelessness succeed, functioning as well or better than their non-homeless peers. As such, efforts to support resilience should consider how best to enhance protective factors, such as supportive environments within shelter settings. METHODS: With data from 60 caregivers of children ages birth to 5 years recruited from family shelters, we assessed caregivers' perceptions of community support as well as child and family well-being in terms of recent adverse experiences, parenting stress, access to social support, and child social-emotional functioning. RESULTS: Many caregivers experiencing family homelessness perceived negative aspects of the shelters where they were staying with their children. Furthermore, children whose caregivers had more negative perceptions of the shelter environment displayed worse social-emotional functioning, even when accounting for differences in parenting stress, recent family adversity, and other sources of social support. CONCLUSIONS: Because young children rely on their caregivers as primary resources for nurturance and support, we encourage family homelessness service providers to work in partnership with caregivers to create more inclusive and empowering practices within the shelter context. Doing so is likely to improve children's developmental outcomes and the overall well-being of the families.

Modeling the Development of Audiovisual Cue Integration in Speech Perception.

Adult speech perception is generally enhanced when information is provided from multiple modalities. In contrast, infants do not appear to benefit from combining auditory and visual speech information early in development. This is true despite the fact that both modalities are important to speech comprehension even at early stages of language acquisition. How then do listeners learn how to process auditory and visual information as part of a unified signal? In the auditory domain, statistical learning processes provide an excellent mechanism for acquiring phonological categories. Is this also true for the more complex problem of acquiring audiovisual correspondences, which require the learner to integrate information from multiple modalities? In this paper, we present simulations using Gaussian mixture models (GMMs) that learn cue weights and combine cues on the basis of their distributional statistics. First, we simulate the developmental process of acquiring phonological categories from auditory and visual cues, asking whether simple statistical learning approaches are sufficient for learning multi-modal representations. Second, we use this time course information to explain audiovisual speech perception in adult perceivers, including cases where auditory and visual input are mismatched. Overall, we find that domain-general statistical learning techniques allow us to model the developmental trajectory of audiovisual cue integration in speech, and in turn, allow us to better understand the mechanisms that give rise to unified percepts based on multiple cues.