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Related Experiment Videos

Infants' home environments: a study of screening efficiency.

J L Adams, F A Campbell, C T Ramey

    American Journal of Mental Deficiency
    |September 1, 1984
    PubMed
    Summary

    The Home Observation for Measurement of the Environment (HOME) tool shows moderate success in predicting low IQ in at-risk infants. Further research is needed for precise identification within high-risk families.

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    A Competing Neurobehavioral Decision Systems model of SES-related health and behavioral disparities.

    Preventive medicine·2014

    Area of Science:

    • Child Development
    • Developmental Psychology
    • Environmental Influences on Development

    Background:

    • Infants from low-income families face heightened risks for developmental retardation.
    • Accurate prediction of developmental trajectories is crucial for timely intervention.
    • The Home Observation for Measurement of the Environment (HOME) is a tool used to assess environmental influences on child development.

    Purpose of the Study:

    • To assess the predictive efficiency of the Caldwell's Home Observation for Measurement of the Environment (HOME) scale.
    • To determine if HOME subscale scores can predict IQ levels in at-risk infants.
    • To evaluate the HOME's utility in identifying infants likely to experience developmental delays.

    Main Methods:

    • The study involved 51 infants from low-income families identified as at-risk.
    • Home environments were assessed using the HOME scale at 6 and 18 months of age.
    • Multiple discriminant functions utilizing HOME subscale scores were employed to predict IQ at age 3.

    Main Results:

    • The HOME discriminant function moderately identified children in the low-IQ group (62% accuracy).
    • A significant rate of false positives (56%) was observed in the prediction.
    • Predictive accuracy was consistent at both 6 and 18-month assessments.

    Conclusions:

    • The HOME scale demonstrates moderate sensitivity in predicting low IQ in at-risk infants.
    • The tool's current efficiency necessitates further refinement for precise risk stratification.
    • Additional research is required to enhance the differentiation among families with varying elevated risk levels.

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