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Introduction: rethinking child care research

Douglas J Besharov1, Jeffrey S Morrow

  • 1American Enterprise Institute for Public Policy Research, Washington, DC, USA.

Evaluation Review
|September 13, 2006
PubMed

Insights

This collection reviews child care research models, focusing on independent and dependent variables, causal links, and subgroup impacts. It proposes a federal research program for improving child care and early childhood education.

Area of Science:

  • Child Development Research
  • Early Childhood Education

Background:

  • Child care research models are complex, involving multiple variables and methodologies.
  • Understanding the impact of child care settings on child development is crucial.

Purpose of the Study:

  • To summarize key elements of the child care research model.
  • To highlight the importance of rigorous research in early childhood education.
  • To propose a federal research program for child care improvements.

Main Methods:

  • The articles examine methods for selecting and measuring independent variables (child care environment, family characteristics).
  • Dependent variables (child's physical and developmental status) are analyzed.
  • Causal links are established through experimental or nonexperimental studies.
  • Impacts across subgroups are assessed to identify differential program benefits.

Main Results:

  • The collection addresses the core components of child care research, including variable measurement and causal inference.
  • Studies analyze the effects of child care on child outcomes.
  • Differential impacts on various subgroups are considered.

Conclusions:

  • A systematic federal research program is proposed to advance child care and early childhood education.
  • Continued research is essential for evidence-based improvements in child care quality and effectiveness.

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