Pamela E. Davis-Kean

Dr. Pamela E. Davis-Kean

University of Michigan–Ann Arbor, Ann Arbor, Michigan, USA
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Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2005 in Journal of Family Psychology
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Journal Article
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PDPamela E. Davis-Kean
Pamela E. Davis-Kean
This study examined the process of how socioeconomic status, specifically parents' education and income, indirectly relates to children's academic achievement through parents' beliefs and behaviors. Data from a national, cross-sectional study of children were used for this study. The subjects were 868 8-12-year-olds, divided approximately equally across gender (436 females, 433 males). This sample was 49% non-Hispanic European American and 47% African American. Using structural equation modeling techniques, the author found that the socioeconomic factors were related indirectly to children's academic achievement through parents' beliefs and behaviors but that the process of these relations was different by racial group. Parents' years of schooling also was found to be an important socioeconomic factor to take into consideration in both policy and research when looking at school-age children.

1 February 2001 in Journal of Marriage and Family
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Journal Article
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WYWei-Jun Jean Yeung
Wei-Jun Jean Yeung
JSJohn F. Sandberg
John F. Sandberg
PDPamela E. Davis-Kean
Pamela E. Davis-Kean
SHSandra L. Hofferth
Sandra L. Hofferth

14 June 2012 in Psychological Science
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Journal Article
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RSRobert S. Siegler
Robert S. Siegler
GDGreg J. Duncan
Greg J. Duncan
PDPamela E. Davis-Kean
Pamela E. Davis-Kean
KDKathryn Duckworth
Kathryn Duckworth
ACAmy Claessens
Amy Claessens
MCMeichu Chen
Meichu Chen
Identifying the types of mathematics content knowledge that are most predictive of students’ long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students’ knowledge of algebra and overall mathematics achievement. Analyses of large, nationally representative, longitudinal data sets from the United States and the United Kingdom revealed that elementary school students’ knowledge of fractions and of division uniquely predicts those students’ knowledge of algebra and overall mathematics achievement in high school, 5 or 6 years later, even after statistically controlling for other types of mathematical knowledge, general intellectual ability, working memory, and family income and education. Implications of these findings for understanding and improving mathematics learning are discussed.

1 January 2006 in Developmental Psychology
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Journal Article
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SSSandra Simpkins
Sandra Simpkins
PDPamela E. Davis-Kean
Pamela E. Davis-Kean
JEJacquelynne S. Eccles
Jacquelynne S. Eccles
This study addresses the longitudinal associations between youths' out-of-school activities, expectancies-values, and high school course enrollment in the domains of math and science. Data were collected on 227 youth who reported on their activity participation in 5th grade, expectancies-values in 6th and 10th grade, and courses taken throughout high school. Math and science course grades at 5th and 10th grade were gathered through school record data. Results indicated youths' math and science activity participation predicted their expectancies and values, which, in turn, predicted the number of high school courses above the predictive power of grades. Although there were mean-level differences between boys and girls on some of these indicators, relations among indicators did not significantly differ by gender.

1 October 2014 in Educational Researcher
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Journal Article
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TWTyler W. Watts
Tyler W. Watts
GDGreg J. Duncan
Greg J. Duncan
RSRobert S. Siegler
Robert S. Siegler
PDPamela E. Davis-Kean
Pamela E. Davis-Kean
Although previous research has established the association between early-grade mathematics knowledge and later mathematics achievement, few studies have measured mathematical skills prior to school entry, and few have investigated the predictive power of early gains in mathematics ability. The current paper relates mathematical skills measured at 54 months to adolescent mathematics achievement using multisite longitudinal data. We find that preschool mathematics ability predicts mathematics achievement through age 15, even after accounting for early reading, cognitive skills, and family and child characteristics. Moreover, we find that growth in mathematical ability between age 54 months and first grade is an even stronger predictor of adolescent mathematics achievement. These results demonstrate the importance of prekindergarten mathematics knowledge and early math learning for later achievement.

14 April 2021 in Current Directions in Psychological Science
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Journal Article
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PDPamela E. Davis-Kean
Pamela E. Davis-Kean
LTLauren A. Tighe
Lauren A. Tighe
NWNicholas E. Waters
Nicholas E. Waters
Socioeconomic status (SES)—indexed via parent educational attainment, parent occupation, and family income—is a powerful predictor of children’s developmental outcomes. Variations in these resources predict large academic disparities among children from different socioeconomic backgrounds that persist over the years of schooling, perpetuating educational inequalities across generations. In this article, we provide an overview of a model that has guided our approach to studying these influences, focusing particularly on parent educational attainment. Parents’ educational attainment typically drives their occupations and income and is often used interchangeably with SES in research. We posit that parent educational attainment provides a foundation that supports children’s academic success indirectly through parents’ beliefs about and expectations for their children, as well as through the cognitive stimulation that parents provide in and outside of the home environment. We then expand this model to consider the intergenerational contributions and dynamic transactions within families that are important considerations for informing potential avenues for intervention.