school context, precollege educational opportunities, and college degree attainment among...
TRANSCRIPT
School Context, Precollege Educational Opportunities,and College Degree Attainment Among High-AchievingBlack Males
Valija C. Rose
� Springer Science+Business Media New York 2013
Abstract Access to high-quality educational opportunities is central to growing
postsecondary degree attainment. This study employs secondary data analysis of the
public-use National Education Longitudinal Study (NELS:88/00) to examine how
school context and precollege educational opportunities influence college degree
attainment among high-achieving Black males. Findings show that approximately
40 % of high-achieving Black males attained a bachelor’s degree or higher 8 years
after high school. Binary logistic regression analysis indicates that attending an
urban school decreases the likelihood of bachelor’s degree attainment. Attending a
private school, on the other hand, has the opposite effect—it increases the likelihood
of bachelor’s degree attainment. Results also indicate that although participating in
a gifted and talented program increases the likelihood of bachelor’s degree attain-
ment among high-achieving Black males, participating in Advanced Placement has
no effect. Implications for educators in K-16 educational settings are discussed.
Keywords Access � Achievement � African American � Gifted � Postsecondary
Introduction
I am confident that by 2020, America will once again have the highest
proportion of college graduates in the world. That’s our goal. That’s our goal.
That’s how we’ll out-educate other countries. That’s how we’ll out-compete
with other countries tomorrow. That’s how we’ll win the future for the United
States of America. (President Barack Obama 2011)
V. C. Rose (&)
School of Education, Virginia Tech, Hampton Roads Center, 1444 Diamond Springs Road, Virginia
Beach, VA 23455, USA
e-mail: [email protected]
123
Urban Rev
DOI 10.1007/s11256-013-0258-1
America’s quest to out-educate, out-compete, and win the future rests, in large
part, upon its ability to provide high-quality educational opportunities for all
students—regardless of race/ethnicity, socioeconomic status, and the particular
school they attend. One national report has asserted that, ‘‘The federal government
must make access to a high-quality opportunity to learn a federally guaranteed right
for every American. We cannot have equity without quality. And we cannot have
true quality without real equity’’ (Schott Foundation 2009, Executive Summary,
para. 4). However, nearly 60 years after the Brown v. Board (1954) decision, access
to high-quality educational opportunities remains an elusive dream for many
students.
Irrespective of the opportunity measure, many students of color and students
from low-income backgrounds lack access to high-quality academic opportunities
(Aud et al. 2010; Lee and Ransom, 2011; Schott Foundation 2009; Wyner et al.
2007). This is true for many Black students who, at the K-12 level, are likely to
attend low-performing, high-poverty urban schools with fewer educational
resources, more inexperienced, out-of-field teachers, and fewer advanced courses
and programs [e.g., gifted and talented programs and Advanced Placement (AP)] in
comparison to White students (Aud et al. 2010, 2012; College Board 2012; Lippman
et al. 1996; Schott Foundation 2009; Snyder and Dillow 2012). Even when Black
students attend better-resourced, low-poverty schools with experienced teachers and
advanced courses and programs, they are still underrepresented in these offerings
(Adelman 2006; Aud et al. 2012; Ford et al. 2008; Klopfenstein 2004).
These issues are exacerbated among Black males who are overrepresented in
special education (Holzman 2006; Noguera 2009) and are underrepresented in
gifted and talented programs and AP (College Board 2012; Corra et al. 2011;
Holzman 2006; Moore and Flowers 2012). At the same time, the postsecondary
degree attainment of Black males lags behind many of their peers. For example, in
2011 among 25- to 29-year olds, 17 % of Black males held a bachelor’s degree or
higher in comparison to 36 % of White males, 43 % of White females, and 23 % of
Black females (Aud et al. 2012).
Although an emerging research base has examined the educational experiences of
gifted and high-achieving Black males in K-12 settings (Graham and Anderson
2008; Grantham 2004; Hebert 2001) and in college settings (Bonner 2010; Harper
2008, 2012; Harper and Griffin 2011; Hrabowski et al. 1998), few studies have
explored the connection between precollege educational opportunities and college
degree attainment among this student population (Harper 2012; Hebert 2002).
Harper’s (2012) national study represents an important milestone towards this end.
Using a retrospective qualitative design, Harper interviewed 219 high-achieving
Black male collegians, emphasizing significant precollege people and experiences
that shaped their college aspirations. One limitation in Harper’s study, however, is
that participants were selected because of their high achievement (i.e., cumulative
grade point averages above 3.0) in college. This design neglects the educational
experiences of Black males who displayed high achievement early on in their
schooling, but failed to become high-achieving collegians. The present study seeks
to fill this gap in the literature. Specifically, the purpose of this nationally
Urban Rev
123
representative quantitative study was to examine how school context and precollege
educational opportunities influence college degree attainment.
Four research questions guided this study:
1. What types of schools do high-achieving Black males attend?
2. To what extent do high-achieving Black males participate in high-quality
precollege educational opportunities (i.e., gifted and talented programs and
AP)?
3. To what extent does college degree attainment among high-achieving Black
males vary by school context and precollege educational opportunities?
4. How do school context and precollege educational opportunity factors influence
college degree attainment among high-achieving Black males?
The present study extends the research literature focused on high-achieving
Black males by using a prospective longitudinal design to investigate access to
precollege educational opportunities and how those opportunities impact college
degree attainment.
Literature Review
There is limited research that examines the intersection between school context,
precollege educational opportunities, and college degree attainment among high-
achieving students. Scholarship focused on high-achieving Black males is even
more limited. Thus, this review examines the topic in two component parts. First,
literature on the relationship between school context and educational outcomes will
be presented, followed by information on the relationship between precollege
educational opportunities and outcomes.
School Context and Educational Outcomes
Urbanicity1
Several empirical studies have examined the relationship between urbanicity (i.e.,
urban, suburban, rural) and educational outcomes. Many of those studies examine
the geography of opportunity and highlight the decreased opportunities and
outcomes associated with residing in urban communities and attending urban
schools (Anyon 2005; Kozol 2005; Tate 2008). Overall, urban schools have higher
levels of segregation, higher concentrations of poverty, lower academic achieve-
ment, and higher teacher-turnover (Aud et al. 2012; Lippman et al. 1996; Schott
Foundation 2009).
1 The National Center for Education Statistics (NCES) uses the term urbanicity to describe a school’s
location or ‘‘locale’’. In 1988, when the National Education Longitudinal Study began, NCES used three
major classifications of urbanicity: urban, suburban, and rural. In 2006, NCES revised the classification
system to include: city, suburban, town, and rural (See NCES’s Urban Education in America website
http://nces.ed.gov/surveys/urbaned/definitions.asp for additional information).
Urban Rev
123
In addition, it appears that urban schools are less likely to offer advanced courses
and opportunities than suburban schools. At a minimum, schools with higher
enrollments of students of color and students from low socioeconomic backgrounds
are less likely to offer AP (Barnard-Brak et al. 2011). There is mixed evidence,
however, about the availability of gifted programs across urbanicity. For example,
Lippman et al. (1996) found that gifted programs were less likely to be available in
urban schools than in suburban schools. In contrast, Baker and Friedman-Nimz
(2002) found that gifted programs were equally likely to be available across urban,
suburban, and rural schools. Despite Baker and Friedman-Nimz’s findings, students
attending urban schools are underrepresented among high-achievers (Hanushek
et al. 2010; Loveless 2008) and Black males attending urban schools are
underrepresented in gifted programs (Holzman 2006; Moore and Flowers 2012).
In terms of longer-term educational outcomes, residents of both urban and rural
communities have lower educational attainment than their suburban counterparts
(Sander 2006). At the same time, urban and rural students are less likely to attain a
postsecondary degree than suburban students (Adelman 2002; Lippman et al. 1996).
In general, urban students seem to fare worse than suburban and rural students
across many indicators of academic success. However, for postsecondary degree
attainment, Lippman et al. (1996) found that urban students performed the same as
their suburban and rural counterparts after controlling for poverty concentration.
School Sector
Just as student outcomes vary by urbanicity, they also vary by school sector (i.e.,
public versus private). Private school students consistently outperform public school
students on the National Assessment of Educational Progress (NAEP; Snyder and
Dillow 2012); however, these students tend to have different demographic
characteristics. Specifically, students who attend private schools are more likely
to come from families with higher socioeconomic backgrounds, have higher prior
achievement, more home resources, and parents who are more involved in their
schooling (Lubienski and Lubienski 2006; Wenglinsky 2007). In addition, private
school students take more academic math courses than their public school
counterparts (Carbonaro and Covay 2010), which in turn is linked to an increased
likelihood of college degree attainment (Adelman 2006).
Several studies, accounting for demographics differences, have compared private
and public school students’ performance. Some of these studies have shown that
when demographic differences are taken into consideration, students from public
schools perform as well as, if not better than, students from private schools (Braun
et al. 2006; Lubienski and Lubienski 2006). For instance, Wenglinsky (2007)
studied 1,007 low-income urban high school students attending public and private
schools. Using the NELS:88/00 data, the author found no difference between public
and private school students in terms of academic and life measures when
background characteristics were taken into account. Specifically, Wenglinsky
reported that public school students had the same likelihood of attending college,
the same level of job satisfaction, and the same level of civic engagement as private
school students.
Urban Rev
123
Despite Wenglinsky’s (2007) findings, questions still remain about whether
private schools offer an academic advantage. For example, Peterson and Llaudet
(2007) criticized Braun et al. (2006) for failing to employ adequate statistical
controls in their analysis. Peterson and Llaudet also questioned whether it was
appropriate to use NAEP data to compare public and private schools because the
NAEP data set lacks information on prior achievement—thus making it impossible
to control for a student’s ability or previous achievement. Given the complex
relationship between school context, access, and educational outcomes for various
student populations, additional research is warranted. Nonetheless, it cannot be
argued that school context matters in terms of access to opportunities and long-term
educational and life outcomes.
Precollege Educational Opportunities and Outcomes
Access to High-Quality Precollege Opportunities
National statistics demonstrate that Black students have unequal access to
educational opportunities (Aud et al. 2012; Snyder and Dillow 2012). In a recent
national report, the Schott Foundation (2009) created an opportunity to learn index,
which measured access to high-quality schools across all 50 states and the District
of Columbia. Specifically, the index measured the extent to which historically
disadvantaged students had access to high schools where nearly all of the students
graduated on time and were college-ready in comparison to White, non-Latino
students. This index was then combined with an indicator of how well students
performed on the eighth grade Reading NAEP in order to rank states using an
overall opportunity to learn index. The foundation estimated that Black students
have less than half the opportunity to learn as their White, non-Latino peers. One
recommendation that emerged from that study is that all students should have access
to ‘‘college preparatory curricula that will prepare all youth for college, work and
community’’ (Schott Foundation 2009, p. 2).
Gifted and talented programs and AP are regarded as examples of college
preparatory curricula and opportunities. Some even refer to AP as a ‘‘gold
standard’’ (see Byrd 2007). Despite the college preparation that gifted and
talented programs and AP can offer, Black students are underrepresented in both
offerings—even though their participation rates have increased over time (Corra
et al. 2011; Ford et al. 2008; Klopfenstein 2004; Snyder and Dillow 2012; Yoon
and Gentry 2009). In 2008, Ford and colleagues estimated that Black students
were underrepresented in gifted education by as much as 55 %. More recently,
Moore and Flowers (2012) focused on African American2 males and showed that
they were consistently underrepresented in gifted programs in the nation’s 20
largest school districts. Simultaneously, the College Board (2012) has found that
Black students are the most underrepresented racial subgroup in AP. The
organization reported that, ‘‘Four out of five black/African American graduates
were either left out of an AP subject for which they had potential or attended a
2 The terms African American and Black are used interchangeably throughout this article.
Urban Rev
123
school that did not offer the subject’’ (College Board 2012, p. 7). These levels of
underrepresentation persist despite the College Board’s equity statement and
various initiatives to improve access (see College Board 2012).
Linking Precollege Opportunities and College Outcomes
In what some consider the most comprehensive degree attainment research to date,
Adelman (2006) examined several national longitudinal data sets across multiple
decades to predict bachelor’s degree attainment as a function of demographic
characteristics, precollege performance, matriculation, college performance, and
financial aid factors. Adelman demonstrated that a rigorous high school curriculum,
what he called academic resources, was a strong predictor of bachelor’s degree
attainment. In fact, the academic resource index was the most consistent predictor of
bachelor’s degree attainment across models. These findings are consistent with the
Schott Foundation’s (2009) assertion that access to college preparatory curricula
matters in terms of long-term outcomes.
Although the connection between a rigorous curriculum and bachelor’s degree
attainment is clear, the research literature is less than straightforward regarding
the long-term impact of gifted and talented programs and AP. In several
qualitative research studies, students have reported the positive impacts of
participating in gifted programs, including higher levels of engagement, increased
academic rigor, better quality teachers, equally skilled peers, and overall better
preparation for college and the future (Henfield et al. 2008; Hertzog 2003; Reis
and Dıaz 1999). However, few quantitative research studies have examined the
longer-term impact of gifted and talented programs. In one such study, Bhatt
(2009) used NELS data and found that participating in a gifted and talented
program did not increase the likelihood of taking AP courses. Bhatt’s (2009)
finding is important considering that, increasingly, universities use AP partici-
pation and examination grades in admission decisions (Geiser and Santelices
2004; Klopfenstein and Thomas, 2009).
In terms of college outcomes for AP participants, studies have shown that
students who scored a 3 or better on AP exams were more likely to perform well in
comparable college courses (Geiser and Santelices 2004; Hargrove et al. 2008) and
typically had higher first-semester GPAs (Scott et al. 2010). Despite these positive
shorter-term AP benefits, it is still unclear whether participation in AP alone
increases the likelihood of bachelor’s degree attainment after controlling for other
variables such as ability and socioeconomic status (Geiser and Santelices 2004;
Klopfenstein and Thomas 2009). In fact, a recent report that synthesizes more than
20 research studies on AP has stated:
Though somewhat challenging to parse, the research suggests that while AP
students, especially those who pass the exams, experience more success in
college than do those who did not take AP courses in high school, this success
may not be attributable to the AP program alone. (Challenge Success 2013, p. 4)
Urban Rev
123
Methods
Data Source
This study used data from the public-use NELS:88/00, which is the third in a series
of five secondary school level longitudinal studies sponsored by the National Center
for Education Statistics (NCES) within the US Department of Education. The
NELS:88 base-year study employed a two-stage probability design to select a
nationally representative sample of eighth grade students within schools. In the first
stage, a stratified, proportional-to-size sampling method yielded a total of 1,052
schools. From this sampling of schools, approximately 25 students from each school
were randomly selected to participate in the study. The base-year study commenced
in the spring of 1988 when participants were in the eighth grade. Follow-up studies
were conducted in 1990 (10th grade), 1992 (12th grade), 1994 (2 years after high
school), and 2000 (8 years after high school). The fourth follow-up (in the year
2000) included a transcript study that collected and recorded participants’
postsecondary achievement and degree attainment. In combination, NELS:88/00
provides trend data about eighth grade student transitions from middle school to
high school to postsecondary institutions and the work force (Curtin et al. 2002).
Sample
A total of 24,599 students participated in the NELS:88 base-year study. The fourth
and final follow-up study had a sample size of 12,144 individuals (Curtin et al.
2002). The analytic sample for this study was obtained by applying a series of
sequential filters to the fourth follow-up sample. First, I defined high-achieving as
scoring in the top 10 % on any one of four base-year achievement tests—reading,
mathematics, science, or social studies. Then, I used within-group norms (i.e., the
top 10 % among Black students) to determine each achievement test cut-off score.
Within-group norms have precedent in the field of gifted education (e.g., Lohman
2006; Peters and Gentry 2012; Rose 2012) and align with the federal definition of
giftedness, which suggests that students should be compared to those of similar
experience and environment (U.S. Department of Education, 1993). Finally, I
restricted my analytic sample to include Black males exclusively. The resulting
unweighted sample size was N = 85.
Since respondents were in the eighth grade during the NELS:88/00 base-year, the
manner in which I selected the analytic sample was equivalent to ‘‘identifying’’
high-achieving Black males in the eighth grade. The complex sampling design
employed in the NELS:88/00 requires the use of weights to adjust for oversampling
of certain groups and for nonresponse. Applying the panel weight yielded a
weighted sample representing 35,112 high-achieving Black males nationally.
Variables
The dependent variable in this study was college degree attainment as measured by
completion of a bachelor’s degree or higher. Two NCES-derived variables were
Urban Rev
123
combined to create a single variable representing college degree attainment. The
first variable indicated whether the respondent had a high school diploma or
equivalent as of the year 2000, and the second variable indicated the highest
postsecondary degree earned. Responses on this second variable ranged from 1
(some postsecondary education, no degree attained) to 6 (Ph.D. or a professional
degree). From these two variables, I formed a dichotomous variable indicating
whether the respondent had attained a bachelor’s degree or higher (1 = yes,
0 = no).
Two sets of independent variables were used in this study: school context (i.e.,
urbanicity and school sector) and precollege educational opportunities (i.e., gifted
and talented programs and AP). In addition, socioeconomic status (SES) was used
as a demographic control. NCES constructed the SES variable by using information
from the base-year parent questionnaire. This variable used a combination of
mother’s education, father’s education, mother’s occupation, father’s occupation,
and family income to create a continuous SES variable. This standardized variable
had an approximate mean of zero and an approximate standard deviation of one.
Values ranged from -3.09 to 2.75.
It is important to include SES as a demographic control because of the
relationship between socioeconomic status, school context, and educational
opportunities and outcomes. Specifically, students from low socioeconomic
backgrounds are more likely to reside in either urban or rural communities than
in suburban communities (Aud et al. 2012). Students from low-income backgrounds
also are underrepresented in gifted and talented programs and in AP (College Board
2012; Wyner et al. 2007). In addition, Buchanan (2006) has found that
socioeconomic status is the most important predictor of educational attainment,
irrespective of race. Moreover, one of the greatest criticisms made about school
sector and AP studies has been that researchers have failed to account for
demographic variables such as SES (e.g., Challenge Success 2013; Peterson and
Llaudet 2007).
The urbanicity variable was recoded into three dichotomous variables to indicate
whether the respondent’s base-year school was in a suburban, urban, or rural
community. Each variable denoted group membership (1 = yes, 0 = no) with
suburban schools serving as the reference group. The school sector variable
classified schools as public, Catholic, private religious, or private non-religious. I
collapsed and recoded this variable into a new dichotomous variable denoting
whether the respondent attended a public or private school during the base-year
(1 = private, 0 = public). This coding made public schools the reference group.
The gifted and talented and AP variables indicated whether respondents as 12th
graders had ever participated in those programs (1 = yes, 0 = no).
Data Analysis
This study employed secondary data analysis of a nationally representative sample
to investigate the research questions. Data analysis proceeded in three phases. In the
first phase, descriptive statistics were computed to describe the sample across
independent and dependent variables. In the second phase, proportions were
Urban Rev
123
calculated on the dependent variable and t tests were conducted to determine group
differences by school context and precollege educational opportunities. In the third
phase, logistic regression analysis was employed to examine which school context
and precollege educational opportunity factors influenced college degree attainment
among high-achieving Black males.
In logistic regression analysis, odds ratios measure the influence of each
independent variable on the likelihood of the dependent variable occurring (e.g.,
attaining a bachelor’s degree or higher), holding all other variables constant. Within
the present study, an odds ratio of exactly one indicates no impact on the odds of
attaining a bachelor’s degree. An odds ratio greater than one indicates an increase in
the odds of attaining a bachelor’s degree when the independent variable increases by
one unit (i.e., a positive effect). An odds ratio of less than one indicates a decrease in
the odds of attaining a bachelor’s degree when the independent variable increases by
one unit (i.e., a negative effect). Taking the reciprocal of a negative effect allows for
comparing the relative magnitude and determining the most influential effects
(Tabachnick and Fidell 2007).
Analyses were conducted using Stata 10. I used multiple imputation on both
independent and dependent missing variables to prevent listwise deletion (Graham
2009; Peugh and Enders 2004). Missing data analyses and imputation were
performed using the free, user-created program, ice, with dichotomous, ordinal, and
interval variables appropriately denoted and imputed. A total of five imputations
produced five multiply-imputed datasets. Pooled results in this analysis were
weighted by the NELS:88/00 fourth follow-up panel weight. All statistical results
are reported significant at the p \ .05 level.
Results
Descriptive statistics revealed that 79 % of high-achieving Black males attended a
public school and 51 % attended an urban school. They came from relatively
modest socioeconomic backgrounds representing the 56th percentile of SES and
participated in high-quality educational opportunities at differential rates, with 20 %
having participated in a gifted and talented program and 56 % in AP. By the year
2000 when the typical respondent was 26 years old (i.e., eight years after high
school), 42 % attained a bachelor’s degree or higher (See Table 1 for descriptive
statistics related to the dependent and independent variables.).
Bachelor’s degree attainment varied among high-achieving Black males by school
context and educational opportunity factors. Although 42 % of the overall sample
attained a bachelor’s degree, suburban high-achieving Black males were more likely
to attain a bachelor’s degree or higher (M = 0.76, SE = 0.10) than urban high-
achieving Black males (M = 0.19, SE = 0.09), t(653) = 4.29, p \ .001. Similarly,
those who attended a private school were more likely to attain a bachelor’s degree or
higher (M = 0.93, SE = 0.06) than those who attended a public school (M = 0.28,
SE = 0.09), t(653) = 6.41, p \ .001. The remaining independent variables did not
yield statistically significant differences in bachelor’s degree attainment (See
Table 2 for college degree attainment by key independent variables).
Urban Rev
123
Results from the logistic model indicated that attending an urban school, attending
a private school, and participating in a gifted and talented program influenced
bachelor’s degree attainment among high-achieving Black males. Attending an
urban school decreased the odds of attaining a bachelor’s degree, holding all other
variables constant. This value was statistically significant, t(154.9) = -2.31,
p = .021. Attending a private school increased the odds of attaining a bachelor’s
degree, holding all other variables constant. This value was statistically significant,
Table 1 Descriptive statistics for independent and dependent variables
Variable M SE Minimum Maximum
Socioeconomic statusa 0.10 0.12 -1.987 1.871
Urban 0.51 0.12 0 1
Suburban 0.36 0.11 0 1
Rural 0.13 0.04 0 1
Public 0.79 0.10 0 1
Private 0.21 0.10 0 1
Gifted and talented 0.20 0.06 0 1
Advanced Placement 0.56 0.11 0 1
Bachelor’s degree or higher 0.42 0.11 0 1
Source: National Education Longitudinal Study of 1988. Data are weighted by F4PNLWT panel weighta Standardized normal variable with approximate mean of zero and approximate standard deviation of
one
Table 2 Bachelor’s degree attainment by key independent variables
Variable Mean Standard error 95 % confidence interval
Lower bound Upper bound
School urbanicity
Urbana 0.19*** 0.09 0.004 0.37
Suburban 0.76 0.10 0.57 0.95
Rural 0.36 0.12 0.14 0.59
School sector
Public 0.28 0.09 0.11 0.45
Private 0.93*** 0.06 0.82 1.04
Gifted and talented
Yes 0.67 0.10 0.47 0.87
No 0.36 0.13 0.09 0.61
Advanced Placement
Yes 0.34 0.13 0.08 0.61
No 0.51 0.14 0.23 0.79
Source: National Education Longitudinal Study of 1988. Data are weighted by F4PNLWT panel weight
*** p \ .001a Mean difference = (Suburban–Urban)
Urban Rev
123
t(154.9) = 3.37, p = .001. Participating in a gifted and talented program increased
the odds of attaining a bachelor’s degree, holding all other variables constant; this
value was also statistically significant, t(154.9) = 2.12, p = .036. SES, attending a
rural school, and participating in AP were not statistically significant predictors of
bachelor’s degree attainment (See Table 3 for results from the logistic model).
Discussion
This study employed secondary data analysis of a national longitudinal study to
examine how school context and precollege educational opportunities influence
college degree attainment among high-achieving Black males. Results from this
study indicate that high-achieving Black males are likely to attend urban, public
schools and to come from families with median socioeconomic backgrounds. These
characteristics differ from the typical gifted student profile, which suggests that
gifted students as a whole are more likely to attend suburban schools and to come
from higher socioeconomic backgrounds (Konstantopoulos et al. 2001; Loveless
2008). Results from the present study indicate that high-achieving Black males
access high-quality educational opportunities—but at differential rates. Consistent
with Harper (2012), I found that high-achieving Black males are much more likely
to participate in AP courses than in gifted and talented programs. This finding begs
the question: Why do high-achieving Black males access gifted and talented
programs at such a lower rate than they access AP? Black males’ underrepresen-
tation in gifted and talented programs is well documented (Holzman 2006; Moore
and Flowers 2012). The disparity in participation could be an indication of the larger
politics and policies of gifted programs that limit access, including their exclusivity
(Morris 2002) and their narrowly constructed identification processes (Rose 2012).
Findings from this study suggest that high-achieving Black males attain a higher
level of education than many of their similarly aged peers. For example, in the year
Table 3 Logistic regression coefficients and odds ratio for predicting bachelor’s degree attainment
among high-achieving black males
Variable B SE B OR p value
Socioeconomic status 1.00 0.53 2.72 .06
Urbana -1.68 0.73 0.18* .02
Rurala -0.23 0.73 0.79 .75
Privatea 3.78 1.12 43.62** .001
Gifted and talenteda 1.81 0.85 6.09* .04
Advanced Placementa -0.18 0.66 0.75 .67
Constant -0.58
Model F-statistic 3.44**
Source: National Education Longitudinal Study of 1988. Data are weighted by F4PNLWT panel weight
* p \ .05, ** p \ .01a Dichotomous variable. Coefficient represents the effect of membership
Urban Rev
123
2000, on a national level, 29 % of all 25- to 29-year olds attained a bachelor’s
degree or higher (Aud et al. 2012). The comparable statistic for Black males in the
same year was 18 % (Aud et al. 2012). In this study, 42 % of high-achieving Black
males attained a bachelor’s degree or higher by the time the typical respondent was
26 years old. These results suggest that high-achieving Black males are more than
two times as likely to attain a bachelor’s degree as similarly-aged Black males.
Although this rate of bachelor’s degree attainment is an improvement over national
statistics for Black males in general, it is lower than the 59 % of lower-income high-
achieving students who attained a bachelor’s degree across all racial/ethnic groups
(Wyner et al. 2007).
Previous research has found SES to be one of the most significant predictors of
educational degree attainment (Buchanan 2006). In the current study, however, SES
was not found to be a statistically significant predictor of bachelor’s degree
attainment among high-achieving Black males. Attending an urban school, on the
other hand, was found to decrease their likelihood of attaining a bachelor’s degree.
Previous research has documented that urban schools have fewer resources, lower
overall academic achievement, fewer advanced courses, and fewer in-field, certified
teachers than suburban schools (Aud et al. 2012; Lippman et al. 1996; Schott
Foundation, 2009), each of which can negatively impact educational outcomes. One
potential explanation for the insignificant SES finding is that attending an urban
school may have served as a proxy for SES and the complex relationship between
SES and urbanicity. Another potential explanation is that when examining high-
achieving Black males exclusively, thus controlling for race, gender, and eighth
grade achievement, the impact of place (i.e., attending an urban school) outweighs
the impact of socioeconomic status. Geography of educational opportunity research
demonstrates that place is a significant determinant of social, political, economic,
and educational opportunities and outcomes (Anyon 2005; Tate 2008). Consistent
with that research, findings from this study indicate that attending an urban school
has negative consequences for high-achieving Black males.
Of all the factors explored in the study, attending a private school was found to
have the most influence on bachelor’s degree attainment among high-achieving
Black males. Previous research comparing public and private schools has shown
that although students from private schools outperform students in public schools,
when demographic characteristics and prior achievement variables are controlled
for, the private school advantage disappears (Braun et al. 2006; Lubienski and
Lubienski 2006; Wenglinsky 2007). Findings from this study represent a departure
from these earlier findings. Despite controlling for SES and prior achievement,
high-achieving Black males who attend private school appear to have an advantage
over their public school counterparts.
Participation in a gifted and talented program was also found to positively
influence bachelor’s degree attainment. This finding is consistent with qualitative
studies in which students felt better prepared for college as a result of their
participation in gifted programs (Henfield et al. 2008; Hertzog 2003; Reis and Dıaz
1999). AP, on the other hand, was not found to influence college degree attainment
among high-achieving Black males. One potential explanation is that although high-
achieving Black males participated in AP programs, they did not necessarily take
Urban Rev
123
the AP exam. Previous research on the impact of AP programs has been mixed
(Challenge Success 2013). Some of the favorable studies on the impact of AP
specifically analyzed test takers. As an alternative explanation, it should also be
noted that in the present study, the quality of AP programs is unknown. Simply
participating in AP does not necessarily mean that the AP course or program is of a
high quality (Hallett and Venegas 2011). Despite the College Board’s effort to
ensure quality across programs through mechanisms such as the AP course audit
and recommended teacher professional development, there is tremendous variation
in AP course quality both within and across schools (Challenge Success 2013).
Implications
Collectively, the study’s results have implications across the K-16 pipeline. To
better contextualize how school context and precollege educational opportunities
influence bachelor’s degree attainment, let us consider four hypothetical high-
achieving Black males. Antoine comes from a family whose SES is at the mean
level (SES = .10). He attended an urban public school, and never participated in AP
or a gifted and talented program. The predicted probability of Antoine attaining a
bachelor’s degree is .10 or 10 %. Brian, who other than attending a suburban school,
has the same characteristics as Antoine. The predicted probability of Brian attaining
a bachelor’s degree is .38 or 38 %. Table 4 shows predicted probabilities of
attaining a bachelor’s degree or higher for four hypothetical high-achieving Black
males. Comparing Chris to Antoine shows roughly the net impact of attending a
private school. Comparing Dante to Antoine shows roughly the net impact of
participating in a gifted and talented program.
Although school context and high-quality educational opportunities matter for all
students, Table 4 demonstrates how they matter for high-achieving Black males in
particularly stark ways. The very schools that high-achieving Black males are most
likely to attend (i.e., public, urban schools) disadvantage them in terms of their
Table 4 Predicted probabilities of attaining a bachelor’s degree or higher for hypothetical high-
achieving black males
Variable Hypothetical student
Antoine Brian Chris Dante
Socioeconomic status Mean Mean Mean Mean
Urban Yes No Yes Yes
Rural No No No No
Private No No Yes No
Gifted and talented No No No Yes
Advanced Placement No No No No
Predicted probability .10 .38 .83 .41
Source: National Education Longitudinal Study of 1988. Data are weighted by F4PNLWT panel weight
Mean SES = 0.10
Urban Rev
123
prospects for college degree attainment. This finding has significant implications for
urban schools. While increased accountability focuses, almost exclusively, on
educational outcomes for students at risk for failing to meet minimal competency,
the academic promise of high-achieving Black males seems to wither away.
Antoine, our hypothetical student who attended an urban, public school and never
participated in a gifted and talented program or AP, has a 10 % chance of attaining a
bachelor’s degree 8 years after high school—which is deplorable. Unfortunately,
Antoine represents thousands of high-achieving Black males nationwide who are
not identified for gifted programs and who do not access AP. All students deserve
opportunities for academic growth, including Black males who perform well on
early measures of achievement.
If participating in a gifted and talented program is positively associated with
college degree attainment for high-achieving Black males, then a specific
implication for urban schools is to open the doors of access into gifted programs.
Schools and districts must develop policies and procedures that support this type of
access. Further, teachers and counselors ought to participate in professional
development activities designed to not only help them identify academic potential,
but also help them learn how to support and nurture students as they navigate more
rigorous courses.
Limitations
This study has some limitations that should be considered when interpreting the
results. The first imitation of this study is attrition. Although the NELS:88 began
with nearly 24,600 respondents, less than half completed the study. Attrition is not
random; participants who remain in a sample tend to have different characteristics
from those who drop out (Schneider et al. 2007). As a result, the NELS:88/00
requires the use of weights to address the issues of attrition and nonresponse. The
fourth follow-up panel weight was applied in this study to address the issue of
attrition.
In general, secondary analysis of large-scale datasets allows for a nationally
representative analysis of subgroups. However when analyzing a very specific
subgroup (e.g., high achieving Black males), the unweighted sample size can be
small; thus, producing less stable results. In this analysis, the unweighted sample
size was N = 85; however, when the appropriate panel weight was applied, this
sample represented more than 35,000 high achieving Black males nationally.
Finally, degree attainment is a complex endeavor that is impacted by numerous
factors. College-level factors were excluded from this study; instead, the current
study focused on precollege factors in order to examine the consequences of
early unequal access. Future research on high-achieving Black males could explore
a more comprehensive model of college degree attainment, similar to Adelman’s
(2006) research, which includes college matriculation, college performance, and
financial aid factors. Such research would be nearly impossible to conduct using
NELS:88/00, however, because the unweighted sample size in the current analysis
supports at most eight independent variables based on conventional regression
Urban Rev
123
analysis practice (Tabachnick and Fidell 2007). In addition, this research used a
correlational design, which predicts outcomes based on association—not causation.
Results from this study should be interpreted in light of these limitations.
Conclusions
This study contributes to our understanding of how school context and precollege
educational opportunities influence college degree attainment among high-achiev-
ing Black males. High-achieving Black males, like all students, are at a
crossroads—what Kirsch et al. (2007) call a perfect storm. ‘‘Our nation is in the
midst of a perfect storm—the result of the confluence of three powerful forces—that
is having a considerable impact on our country…They are divergent skill
distributions, the changing economy, and demographic trends’’ (Kirsch et al.
p. 3). These three forces require a more skilled, better-educated workforce across all
demographic groups. Unequal access to high-quality educational opportunities
makes it difficult to weather the storm. ‘‘While not every American will go to
college, all American children should be given fair opportunities to be prepared for
college’’ (Welner and Carter 2013, p. 3). High-achieving Black males await that fair
opportunity.
Acknowledgments The author would like to thank Malik Henfield and La Francis Rodgers-Rose for
their comments on earlier drafts of this article.
References
Adelman, C. (2002). The relationship between urbanicity and educational outcomes. In W. G. Tierney &
L. S. Hagedorn (Eds.), Increasing access to college: Extending possibilities for all students (pp. 35–
63). Albany, NY: State University of New York Press.
Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college.
Washington, DC: U.S. Department of Education.
Anyon, J. (2005). Radical possibilities: Public policy, urban education, and a new social movement. New
York: Routledge.
Aud, S., Fox, M., & KewalRamani, A. (2010). Status and trends in the education of racial and ethnic
groups (NCES 2010-015). U.S. Department of Education, National Center for Education Statistics.
Washington, DC: U.S. Government Printing Office.
Aud, S., Hussar, W., Johnson, F., Kena, G., Roth, E., Manning, E., et al. (2012). The condition of
education 2012 (NCES 2012-045). U.S. Department of Education, National Center for Education
Statistics. Washington, DC. Retrieved July 13, 2013 from http://nces.ed.gov/pubsearch.
Baker, B. D., & Friedman-Nimz, R. (2002). Determinants of the availability of opportunities for gifted
children: Evidence from NELS’88. Leadership and Policy in Schools, 1, 52–71.
Barnard-Brak, L., McGaha-Garnett, V., & Burley, H. (2011). Advanced Placement course enrollment and
school-level characteristics. NASSP Bulletin, 95, 165–174.
Bhatt, R. (2009). The impacts of gifted and talented education (working paper). Retrieved from http://
www2.gsu.edu/~ecorrb/index_files/research.htm.
Bonner, F. A., II. (2010). Academically gifted African American male college students. Santa Barbara,
CA: Praeger.
Braun, H., Jenkins, F., & Grigg, W. (2006). Comparing private schools and public schools using
hierarchical linear modeling (NCES 2006-461). U.S. Department of Education, National Center for
Education Statistics, Institute of Education Sciences. Washington, DC: U.S. Government Printing
Office.
Urban Rev
123
Brown, V. (1954). Board of Education, 347 U.S. 483.
Buchanan, C. M. (2006). The impact of race and socioeconomic status on post-secondary achievement.
International Journal of Learning, 16, 69–81.
Byrd, S. (with Ellington, L., Gross, P., Jago, C., Stern, S.). (2007). Advanced Placement and International
Baccalaureate: Do they deserve gold star status? Washington, DC: Thomas B. Fordham Institute.
Carbonaro, W., & Covay, E. (2010). School sector and student achievement in the era of standards based
reform. Sociology of Education, 83, 160–182.
Challenge Success. (2013). The Advanced Placement program: Living up to its promise? Retrieved from
Challenge Success website: http://www.challengesuccess.org/research/white-papers.aspx.
College Board. (2012). The 8th annual AP report to the nation. New York, NY: Author.
Corra, M., Carter, J. S., & Carter, S. K. (2011). The interactive impact of race and gender on high school
advanced course enrollment. The Journal of Negro Education, 80, 33–46.
Curtin, T. R., Ingels, S. J., Wu, S., & Heuer, R. (2002). National Education Longitudinal Study of 1988:
Base-year to fourth follow-up data file user’s manual (NCES 2002–323). Washington, DC: National
Center for Education Statistics.
Ford, D. Y., Grantham, T. C., & Whiting, G. W. (2008). Culturally and linguistically diverse students in
gifted education: Recruitment and retention issues. Exceptional Children, 64, 289–306.
Geiser, S., & Santelices, V. (2004). The role of Advanced Placement and honors courses in college
admissions (Research & Occasional Paper Series, CSHE.4.04). Berkeley, CA: Center for Studies in
Higher Education.
Graham, A., & Anderson, K. A. (2008). ‘‘I have to be three steps ahead’’: Academically gifted African
American male students in an urban high school on the tension between ethnic and academic
identity. Urban Review, 40, 472–499.
Graham, J. W. (2009). Missing data analysis: Making it work in the real world. American Review of
Psychology, 60, 549–576.
Grantham, T. C. (2004). Rocky Jones: Case study of a high-achieving Black male’s motivation to
participate in gifted classes. Roeper Review, 26, 208–215.
Hallett, R. E., & Venegas, K. M. (2011). Is increased access enough? Advanced placement courses,
quality, and success in low-income urban schools. Journal for the Education of the Gifted, 34, 468–
487.
Hanushek, E. A., Peterson, P., & Woessmann, L. (2010). U.S. math performance in global perspective:
How well does each state do at producing high-achieving students? (PEPG Report No.: 10-19).
Cambridge, MA: Program on Education, Policy & Governance, Harvard University.
Hargrove, L., Godin, D., & Dodd, B. (2008). College outcomes comparisons by AP and non-AP
experiences (Research Report 2008-3). New York, NY: College Board.
Harper, S. R. (2008). Realizing the intended outcomes of Brown: High-achieving African American male
undergraduates and social capital. American Behavioral Scientist, 51, 1030–1053.
Harper, S. R. (2012). Black male student success in higher education: A report from the national Black
male college achievement study. Philadelphia: University of Pennsylvania, Center for the Study of
Race and Equity in Education.
Harper, S. R., & Griffin, K. A. (2011). Opportunity beyond affirmative action: How low-income and
working-class Black male achievers access highly selective and high-cost colleges and universities.
Harvard Journal of African American Public Policy, 17, 43–60.
Hebert, T. P. (2001). Jermaine: A critical case study of a gifted Black child living in rural poverty. Gifted
Child Quarterly, 45, 85–103.
Hebert, T. P. (2002). Gifted Black males in a predominately White university: Portraits of high
achievement. Journal for the Education of the Gifted, 26, 25–64.
Henfield, M. S., Moore, J. L., III, & Wood, C. (2008). Inside and outside gifted education programming:
Hidden challenges for African American students. Exceptional Children, 74, 433–450.
Hertzog, N. B. (2003). Impact of gifted programs from the students’ perspective. Gifted Child Quarterly,
47, 131–143.
Holzman, M. (2006). Public education & Black male students: The 2006 state report card. Cambridge,
MA: Schott Foundation.
Hrabowski, F. A., III, Maton, K. I., & Greif, G. L. (1998). Beating the odds: Raising academically
successful African American males. New York, NY: Oxford University Press.
Kirsch, I., Braun, H., Yamamoto, K., & Sum, A. (2007). America’s perfect storm: Three forces changing our
nation’s future. Retrieved from http://www.ets.org/Media/Education_Topics/pdf/AmericasPerfectStorm.
pdf.
Urban Rev
123
Klopfenstein, K. (2004). Advanced placement: Do minorities have equal opportunity? Economics of
Education Review, 23, 115–131.
Klopfenstein, K., & Thomas, M. K. (2009). The link between Advanced Placement experience and early
college success. Southern Economic Journal, 75, 873–891.
Konstantopoulos, S., Modi, M., & Hedges, L. V. (2001). Who are America’s gifted? American Journal of
Education, 109, 344–382.
Kozol, J. (2005). The shame of a nation: The restoration of apartheid schooling in America. New York,
NY: Crown Publishers.
Lee, J. M, Jr, & Ransom, T. (2011). The educational experience of young men of color: A review of
research, pathways and progress. New York, NY: College Board Advocacy and Policy Center.
Lippman, L., Burns, S., & McArthur, E. (1996). Urban schools: The challenge of location and poverty
(NCES 96-184). Washington, DC: U.S. Department of Education, Office of Educational Research
and Improvement.
Lohman, D. F. (2006). Identifying academically talented minority students (Research Monograph No.
RM05216). Storrs: The National Research Center on the Gifted and Talented, University of
Connecticut.
Loveless, T. (2008). Analysis of NAEP data. In A. Duffett, S. Farkas, & T. Loveless (Eds.), High-
achieving students in the era of NCLB (pp. 13–48). Washington, DC: Thomas B. Fordham Institute.
Lubienski, S. T., & Lubienski, C. (2006). Student sector and academic achievement: A multilevel analysis
of NAEP mathematics data. American Educational Research Journal, 43, 651–698.
Moore, J. L., III, & Flowers, L. A. (2012). Increasing the representation of African American males in
gifted and talented programs. In M. Casserly, S. Lewis, C. Simon, R. Uzzell, & M. Palacios (Eds.),
Providing solutions for Black male achievement: Council of the Great City Schools (pp. 60–74).
Washington, DC: Council of the Great City Schools.
Morris, J. E. (2002). African American students and gifted education: The politics of race and culture.
Roeper Review, 24, 59–62.
Noguera, P. A. (2009). The trouble with Black boys: And other reflections on race, equity, and the future
of public education. San Francisco, CA: Wiley.
Obama, B. (2011, March 4). Remarks by the President at Miami Central High School in Miami, Florida.
Retrieved from http://www.whitehouse.gov/the-press-office/2011/03/04/remarks-president-miami-
central-high-school-miami-florida.
Peters, S. J., & Gentry, M. (2012). Group-specific norms and teacher-rating scales: Implications for
underrepresentation. Journal of Advanced Academics, 23, 125–144.
Peterson, P. E., & Llaudet, E. (2007). The NCES private-public school study: Findings are other than they
seem. Education Next, 7(1), 75–79.
Peugh, J. L., & Enders, C. K. (2004). Missing data in educational research: A review of reporting
practices and suggestions for improvement. Review of Educational Research, 74, 525–556.
Reis, S. M., & Dıaz, E. (1999). Economically disadvantaged urban female students who achieve in
schools. The Urban Review, 31, 31–54.
Rose, V. C. (2012). Empirical support for a broadened conception of giftedness: Implications for school
leaders. In M. F. DiPaola & P. B. Forsyth (Eds.), Contemporary challenges confronting school
leaders (pp. 189–213). Charlotte, NC: Information Age Publishing.
Sander, W. (2006). Educational attainment and residential location. Education and Urban Society, 38,
307–326.
Schneider, B., Carnoy, M., Kilpatrick, J., Schmidt, W. H., & Shavelson, R. J. (2007). Estimating causal
effects using experimental and observational designs. Washington, DC: American Educational
Research Association.
Schott Foundation. (2009). Opportunity to learn: A 50 state report on the opportunity to learn in America.
Cambridge, MA: Author.
Scott, T. P., Tolson, H., & Lee, Y.-K. (2010). Assessment of Advanced Placement participation and
university academic success in the first semester: Controlling for selected high school academic
abilities. Journal of College Admission, 208, 26–30.
Snyder, T. D., & Dillow, S. A. (2012). Digest of education statistics 2011 (NCES 2012-001). Washington,
DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of
Education.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Pearson.
Tate, W. F., IV. (2008). ‘‘Geography of opportunity’’: Poverty, place, and educational outcomes.
Educational Researcher, 37, 397–411.
Urban Rev
123
U.S. Department of Education, Office of Educational Research and Improvement. (1993). National
excellence: A case for developing America’s talent. Washington, DC: U.S. Government Printing
Office.
Welner, K. G., & Carter, P. L. (2013). Achievement gaps arise from opportunity gaps. In P. L. Carter &
K. G. Welner (Eds.), Closing the opportunity gap: What America must do to give every child an even
chance (pp. 1–10). New York, NY: Oxford University Press.
Wenglinsky, H. (2007). Are private high schools better academically than public high schools?.
Washington, DC: Center on Education Policy.
Wyner, J. S., Bridgeland, J. M., & Diiulio, J. J., Jr. (2007). Achievement trap: How America is failing
millions of high-achieving students from lower-income families. Landsdowne, VA: Jack Kent Cooke
Foundation.
Yoon, S. Y., & Gentry, M. (2009). Racial and ethnic representation in gifted programs: Current status of
and implications for gifted Asian American students. Gifted Child Quarterly, 53, 121–136.
Urban Rev
123