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META-ANALYSIS
Gender Difference in Verbal Performance: a Meta-analysis
of United States State Performance Assessments
Jennifer Petersen
1
Published online: 3 September 2018
#Springer Science+Business Media, LLC, part of Springer Nature 2018
Abstract
A comprehensive, statistical review of gender differences in verbal performance has not been
conducted in several decades and the majority of previous work on this topic used published
studies that often include small, non-representative samples. The introduction of national
legislation in US public schools required schools to assess and publicly report verbal perfor-
mance, thus providing verbal assessment data for millions of American students. The current
study presents a meta-analysis of gender differences in US state verbal assessments. Data were
collected from the departments of education in 16 states representing more than 10 million US
students in grades 3 through 11. Results indicated a small gender difference favoring females
for overall verbal performance (d= 0.29). However, when type of assessment was considered,
the female advantages in reading (d= 0.19) and language arts (d= 0.29) were smaller than in
writing performance (d=0.45). The small gender differences in verbal performance increased
in a linear pattern from grades 3 to 8 and then remained steady in high school.
Keywords Verbal performance .Gender .Meta-analysis .Writing .English Language Arts
Developmental trends in gender differences in cognitive performance are important for
informing educational policies and practice. Although recent meta-analyses have focused on
gender differences in mathematical performance (Hyde et al. 2008; Lindberg et al. 2010), a
comprehensive meta-analysis of verbal performance has not been published in decades
(Feingold 1988; Hedges and Nowell 1995; Hyde and Linn 1988). A new meta-analysis
informed by recent data and statistical procedures is necessary in order to determine the
current developmental trends in gender differences in verbal performance.
Educational Psychology Review (2018) 30:1269–1281
https://doi.org/10.1007/s10648-018-9450-x
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10648-018-
9450-x) contains supplementary material, which is available to authorized users.
*Jennifer Petersen
petersej@uww.edu
1
University of Wisconsin - Whitewater, 800 W. Main St, Whitewater, WI 53190, USA
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