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Datasets from an impact evaluation of a targeted prekindergarten program.

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This study examines prekindergarten program impacts in Connecticut, analyzing data comparability, impact estimate robustness, and outcome measure properties. Findings inform effective early childhood education strategies.

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Area of Science:

  • Early Childhood Education
  • Developmental Psychology
  • Educational Policy

Background:

  • Prekindergarten program effectiveness varies significantly by state implementation.
  • Limited data exists for evaluating specific state-level prekindergarten impacts.
  • Understanding program efficacy is crucial for educators and policymakers.

Purpose of the Study:

  • To empirically examine prekindergarten program impacts in Connecticut.
  • To assess the comparability of treatment and control groups.
  • To evaluate the robustness of impact estimates and psychometric properties of outcome measures.

Main Methods:

  • Utilized empirical data from Connecticut prekindergarten programs.
  • Conducted analyses on treatment and control group comparability.
  • Performed robustness checks on impact estimates and psychometric evaluations.

Main Results:

  • Demonstrated comparability between treatment and control groups.
  • Confirmed the robustness of impact estimates.
  • Validated the psychometric properties of the outcome measures used.

Conclusions:

  • Provides a robust dataset and analysis for evaluating prekindergarten effects in Connecticut.
  • Offers a model for state-level examination of early childhood education program impacts.
  • Contributes empirical evidence to inform effective prekindergarten policy and practice.