Using Experimental Variation to Examine the (Co-)Development of Cognitive and Social-Emotional Skills in Early Childhood. EdWorkingPaper No. 26-1369

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Bibliographic Details
Title: Using Experimental Variation to Examine the (Co-)Development of Cognitive and Social-Emotional Skills in Early Childhood. EdWorkingPaper No. 26-1369
Language: English
Authors: Emma R. Hart, Caroline M. Botvin, Drew H. Bailey, Tyler W. Watts, Annenberg Institute for School Reform at Brown University
Source: Annenberg Institute for School Reform at Brown University. 2026.
Availability: Annenberg Institute for School Reform at Brown University. Brown University Box 1985, Providence, RI 02912. Tel: 401-863-7990; Fax: 401-863-1290; e-mail: annenberg@brown.edu; Web site: https://annenberg.brown.edu/
Peer Reviewed: N
Page Count: 59
Publication Date: 2026
Sponsoring Agency: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH)
National Science Foundation (NSF), Division of Graduate Education (DGE)
Contract Number: 1R01HD09593001A1
2036197
Document Type: Reports - Research
Education Level: Early Childhood Education
Preschool Education
Descriptors: Federal Programs, Low Income Students, Social Services, Children, Experience, Early Intervention, Surveys, Preschool Education, Family (Sociological Unit), Skill Development, Early Childhood Education, Thinking Skills, Social Emotional Learning, Longitudinal Studies, Transfer of Training
Laws, Policies and Program Identifiers: Head Start
Abstract: Questions about the stability of psychological constructs, skill generalization, and transfer have long motivated psychological research. Despite a proliferation of theory, the field has rarely established causal effects. We employed a novel approach to test the stability and co-development of cognitive and social-emotional skills in early childhood using longitudinal randomized controlled trial data from the nationally representative Head Start Impact Study (n = 4,667). Capitalizing on the study's clustered design, we computed treatment effects on both skills for each cluster (k = 84). Using meta-analytic techniques, we found that changes to children's cognitive skills persisted at a rate of approximately 40% one year after program end and 30% two years after program end. Changes to social-emotional skills persisted at a rate of approximately 20% at both timepoints, though estimates were statistically non-significant. We observed more consistent, but not statistically significant, support for cognitive to social-emotional skill transfer. While models relying on exogenous variation attenuated traditional correlational estimates of same-skill associations, correlational estimates of cross-skill associations appeared to be less biased.
Abstractor: As Provided
Notes: https://www.icpsr.umich.edu/web/ICPSR/studies/36968
Entry Date: 2026
Accession Number: ED678245
Database: ERIC
Description
Abstract:Questions about the stability of psychological constructs, skill generalization, and transfer have long motivated psychological research. Despite a proliferation of theory, the field has rarely established causal effects. We employed a novel approach to test the stability and co-development of cognitive and social-emotional skills in early childhood using longitudinal randomized controlled trial data from the nationally representative Head Start Impact Study (n = 4,667). Capitalizing on the study's clustered design, we computed treatment effects on both skills for each cluster (k = 84). Using meta-analytic techniques, we found that changes to children's cognitive skills persisted at a rate of approximately 40% one year after program end and 30% two years after program end. Changes to social-emotional skills persisted at a rate of approximately 20% at both timepoints, though estimates were statistically non-significant. We observed more consistent, but not statistically significant, support for cognitive to social-emotional skill transfer. While models relying on exogenous variation attenuated traditional correlational estimates of same-skill associations, correlational estimates of cross-skill associations appeared to be less biased.