Jamie Quinn

Dr. Jamie Quinn

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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9 September 2014 in Child Development
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Journal Article
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JQJamie Quinn
Jamie Quinn
RWRichard K. Wagner
Richard K. Wagner
YPYaacov Petscher
Yaacov Petscher
DLDanielle Lopez
Danielle Lopez

1 June 2021 in Psychological Bulletin
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MDMia C. Daucourt
Mia C. Daucourt
ANAmy R. Napoli
Amy R. Napoli
JQJamie Quinn
Jamie Quinn
SWSarah G. Wood
Sarah G. Wood
SHSara A. Hart
Sara A. Hart
Mathematical thinking is in high demand in the global market, but approximately six percent of school-age children across the globe experience math difficulties (Shalev, et al., 2000). The home math environment (HME), which includes all math-related activities, attitudes, beliefs, expectations, and utterances in the home, may be associated with children’s math development. In order to examine the relation between the HME and children’s math abilities, a preregistered meta-analysis was conducted to estimate the average weighted correlation coefficient (r) between the HME and children’s math achievement and how potential moderators (i.e., assessment, study, and sample features) might contribute to study heterogeneity. A multilevel correlated effects model using 631 effect sizes from 64 quantitative studies comprised of 68 independent samples found a positive, statistically significant average weighted correlation of r = .13 (SE = .02, p < .001). Our combined sensitivity analyses showed that the present findings were robust, and that the sample of studies has evidential value. A number of assessment, study, and sample characteristics contributed to study heterogeneity, showing that no single feature of HME research was driving the large between-study differences found for the association between the HME and children’s math achievement. These findings indicate that children’s environments and interactions related to their learning are supported in the specific context of math learning. Our results also show that the HME represents a setting in which children learn about math through social interactions with their caregivers (Vygotsky, 1978), and what they learn depends on the influence of many levels of environmental input (Bronfenbrenner, 1979) and the specificity of input children receive (Bornstein, 2002).

8 July 2019 in Anxiety, stress, and coping
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Julia ShefflerJulia Sheffler
Julia Sheffler
JPJennifer R. Piazza
Jennifer R. Piazza
JQJamie Quinn
Jamie Quinn
NSNatalie J. Sachs-Ericsson
Natalie J. Sachs-Ericsson
ISIan H. Stanley
Ian H. Stanley
The current study examined whether coping strategies mediate the link between adverse childhood experiences (ACEs) and adult psychiatric and physical health outcomes.Data were drawn from wave I (N ...

23 October 2013 in Journal of Learning Disabilities
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JQJamie Quinn
Jamie Quinn
RWRichard K. Wagner
Richard K. Wagner
Reading impairment is more common in males, but the magnitude and origin of this gender difference are debated. In a large-scale study of reading impairment among 491,103 beginning second-graders, gender differences increased with greater severity of reading impairment, peaking at a ratio of 2.4:1 for a broad measure of fluency and a ratio of 1.6:1 for a narrow measure of decoding. Results from three tests indicate that gender differences in reading impairment are attributable primarily to male vulnerability rather than ascertainment bias. Correspondence between identification as an impaired reader by our study criteria and school identification as learning disabled was poor overall and worse for girls: Only 1 out of 4 boys and 1 out of 7 girls identified as reading impaired in our study was school identified as learning disabled.


1 May 2021 in Developmental Psychology
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YKYoung-Suk Grace Kim
Young-Suk Grace Kim
JQJamie Quinn
Jamie Quinn
YPYaacov Petscher
Yaacov Petscher
Text reading fluency refers to the ability to read connected texts with accuracy, speed, and expression (prosody), and has garnered substantial attention as an important skill for reading comprehension. However, two fundamental questions remain-the dimensionality of text reading fluency including text reading efficiency (accuracy and speed) and reading prosody, and the directionality of the relation between text reading fluency and reading comprehension. These questions were addressed using longitudinal data from Grade 1 (Mage = 6.36 years) to Grade 3 (Mage = 8.34 years). Majority of children were White (approximately 60%) and African American (26%) with 39% to 52% from low-SES backgrounds, depending on the grade. Text reading fluency, word reading, listening comprehension, and reading comprehension were measured. Results from confirmatory factor analysis revealed that text reading fluency is a multidimensional construct with a trifactor structure, which has a general factor that captures common ability across text reading efficiency and reading prosody as well as local and specific factors that are unique beyond the general factor. However, the general factor was the most reliable factor, whereas local and specific factors were not reliable. The directionality of the relation between text reading fluency and reading comprehension was addressed by examining two competing structural equation models-text-reading-fluency-as-a-predictor/mediator model and text-reading-fluency-as-an-outcome model-and data supported the former. These results indicate that text reading fluency is a multidimensional construct, and it acts as a predictor, mediating the relations of word reading and listening comprehension to reading comprehension. (PsycInfo Database Record (c) 2021 APA, all rights reserved).