Cited by 66Cognitive and developmental aspects of mathematical skillsEarly Childhood Education and DevelopmentMathematics Education and Teaching Techniques

Fadeout in an early mathematics intervention: Constraining content or preexisting differences?

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Bailey, Drew H., Nguyen, Tutrang, Jenkins, Jade Marcus, Domina, Thurston, Clements, Douglas H., Sarama, Julie S.·2016·Developmental Psychology

Abstract

A robust finding across research on early childhood educational interventions is that the treatment effect diminishes over time, with children not receiving the intervention eventually catching up to children who did. One popular explanation for fadeout of early mathematics interventions is that elementary school teachers may not teach the kind of advanced content that children are prepared for after receiving the intervention, so lower-achieving children in the control groups of early mathematics interventions catch up to the higher-achieving children in the treatment groups. An alternative explanation is that persistent individual differences in children's long-term mathematical development result more from relatively stable preexisting differences in their skills and environments than from the direct effects of previous knowledge on later knowledge. We tested these 2 hypotheses using data from an effective preschool mathematics intervention previously known to show a diminishing treatment effect over time. We compared the intervention group to a matched subset of the control group with a similar mean and variance of scores at the end of treatment. We then tested the relative contributions of factors that similarly constrain learning in children from treatment and control groups with the same level of posttreatment achievement and preexisting differences between these 2 groups to the fadeout of the treatment effect over time. We found approximately 72% of the fadeout effect to be attributable to preexisting differences between children in treatment and control groups with the same level of achievement at posttest. These differences were fully statistically attenuated by children's prior academic achievement. (PsycINFO Database Record

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  1. Clements DH Sarama J Learning and teaching early math: The learning trajectories approach 2014 Routledge
  2. Currie J Thomas D School quality and the longer-term effects of Head Start Journal of Human Resources 2000 35 4 755 774
  3. Duncan GJ Yeung WJ Brooks-Gunn J Smith JR How much does childhood poverty affect the life chances of children? American Sociological Review 1998 63 406 423
  4. Glasgow C Cowley J Renfrew Bus Story test (North American Edition) 1994 Centreville, DE Centreville School
  5. Imbens GW Matching Methods in Practice: Three Examples Journal of Human Resources 2015 50 2 373 419
  6. Leak J Duncan GJ Li W Magnuson K Schindler H Yoshikawa H Is timing everything? How early childhood education program impacts vary by starting age, program duration and time since the end of the program 2010 11 Paper presented at the Fall Conference of the Association for Public Policy Analysis and Management Boston, MA

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Authors
Bailey, D. H., Nguyen, T., Jenkins, J. M., Domina, T., Clements, D. H., & Sarama, J. S.
Affiliations
  • University of California, Irvine (US)
  • University of North Carolina at Chapel Hill (US)
  • University of Denver (US)
Venue
Developmental Psychology
Published
2016-09
Volume
52
Issue
9
Pages
1457-1469
ISSN
  • 0012-1649 (ISSN-L)
  • 1939-0599
OpenAlex
W2509100329
Cited by
66
References
37
Citations by year
2026: 5 · 2025: 4 · 2024: 7 · 2023: 2 · 2022: 4 · 2021: 8 · 2020: 14 · 2019: 7 · 2018: 10 · 2017: 2 · 2016: 2
FWCI
7.09
Type
journal article
Language
en
Open access
Locations
  • Developmental Psychology (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • U.S. Department of Education (R305K05157 and R305A120813, R305B120013)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01HD065704)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Cognitive and developmental aspects of mathematical skills
  • Social Sciences › Education › Early Childhood Education and Development
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
Keywords
early childhood mathematics, treatment effects, prior academic achievement, matched control groups
MeSH terms
Achievement, Child Language, Child, Preschool, Educational Measurement, Female, Follow-Up Studies, Humans, Individuality, Language Tests, Male, Models, Psychological, Reading, Schools, Socioeconomic Factors, Early Intervention, Educational, Mathematical Concepts

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