Learning Exercise #1Delving into Journal ArticlesObjective To.docx

Learning Exercise #1
Delving into Journal Articles
Objective: To help students better understand the process of
research and research methods
Directions: You will be assigned a scholarly article. After
reading the article, you’re requied to answer all the questions
below completely.
Based upon your reading of the article, you should address the
following questions in a 1 to a 1 and ½ page (max.) typed paper:
(please refer to APA Style guidelines)
1. What is the research question?
2. What theory did these authors use?
3. What were the authors’ hypotheses?
4. Was the research deductive or inductive?
5. How were the variables operationalized?
6. What kind of relationship exists between the variables?
(correlation, cause and effect, or spurious. Define these
definitions using the text and provide examples from your
article.)
7. What method did the researchers use? (Survey, field study,
experiment, existing sources, or triangulation, or another
method? Explain.)
8. Who composed the sample? Was it representative?
Grading criteria: Your ability to communicate your thoughts in
writing to include appropriate grammar, punctuation, spelling,
syntax, evidence of appropriate editing (10 points), your ability
to critique the article’s research question, methods, and overall
argument (15), and your ability to demonstrate correct use and

application of the concepts from the text to the research article
(15 points).40 total points possible**DUE DATE: MONDAY,
February 5th (11:59 PM)
Express Yourself Language Institute
Increased competitive edge • Improved self-esteem • Enhanced
thinking skills
Background
Many colleges and universities require foreign language study,
and U.S. students from every degree-granting educational
institution recognize the importance of fluency in a foreign
language. The Express Yourself Language Institute (EYLI) is
the premier destination for students wishing to get a head start
on their language studies. Drawing on student enrollment
patterns as well as trends in language skills sought by business
recruiters, the EYLI programs continually evolve to serve our
customers’ current and future needs.
Although we started in a small office with a reception area and
only two classrooms, we have grown exponentially over the
years, expanding from a single location on the south side of
Chicago to more than 20 locations in nine cities. Although
initially we offered only courses in Spanish, we now offer
courses in eight foreign languages as well as American Sign
Language.
Express Yourself Language Institute through the Years
Year
New Cities
New Languages
2007
Chicago
Spanish
2009

Tampa
French, German
2011
Albuquerque, Boston
Chinese, Japanese
Today
Kansas City, Detroit, Huntsville
Arabic, Korean, ASL
Current Language Study Statistics
According to the Modern Language Association, the language
with the largest percentage growth has been Arabic, growing by
46.3% and becoming the third most important language to learn
for business.
Other languages with significant increases to enrollment include
the following:
· Korean 19.1%
· Chinese 18.2%
· American Sign Language 16.4%
· Portuguese 10.8%
· Japanese 10.3%
The main driver for the increased enrollment in EYLI and other
language institutes is, of course, a heightened demand by
employers for bilingual and multilingual employees. The table
below lists the industries that are more likely to hire employees
with knowledge of a second language, and the percentage of
EYLI students who have expressed an interest in those
industries.
As we have in the past, EYLI will continue to follow these
trends and respond appropriately.
In response to the latest statistics, EYLI has decided to add the
following to its course offerings:
Beginning and Intermediate Arabic Fall 2015
Because of the increased interest in Arabic language studies, we

will offer two courses in Arabic. We anticipate that 30% of
students taking Begining Arabic will continue on this language
track and sign up for Intermediate Arabic.
Advanced Chinese Spring 2016
Many students studying Chinese at the Intermediate level at our
facilities across the country have requested an advanced level
Chinese course. We hope to hire native speakers to meet this
demand.
Additional upper-level Korean, Portuguese, and Japanese
courses are also in the works. We hope to release information
about these programs as soon as we have fully assessed the
demand.
This file created specifically for Dominica Esono Nseng
Shelly Cashman Word 2013| Chapter 3: SAM Project 1a
Shelly Cashman Word 2013
Chapter 3: SAM Project 1a
Express Yourself Language Institute
FORMAT A REPORT USING TABLES AND GRAPHICS
Project Goal
M Project Name
Project Goal

PROJECT DESCRIPTION
You are working with the media director for the Express
Yourself Language Institute to develop new marketing
materials. You will create a report that summarizes the state of
foreign language learning in the United States. To clarify the
presentation and add visual interest, you will format the report
using tables, graphics, and other visual aids.GETTING
STARTED
· Download the following file from the SAM website:
· SC_Word2013_C3_P1a_FirstLastName_1.docx
· Open the file you just downloaded and save it with the name:
· SC_Word2013_C3_P1a_FirstLastName_2.docx
· Hint: If you do not see the .docx file extension in the Save file
dialog box, do not type it. Word will add the file extension for
you automatically.
· To complete this Project, you will also need to download and
save the following support files from the SAM website:
· support_SC_W13_C3_P1a_language-logo.png
· support_SC_W13_C3_P1a_classroom.png
· With the file SC_Word2013_C3_P1a_FirstLastName_2.docx
still open, ensure that your first and last name is displayed in
the footer. If the footer does not display your name, delete the
file and download a new copy from the SAM website.
PROJECT STEPS
1. Change the document margins to Moderate.
2. Move the insertion point before the word “Express” in the
headline paragraph “Express Yourself Language Institute” and
insert the image file support_SC_W13_C3_P1a_language-
logo.png available for download from the SAM website.
3. Resize the image so that it is 0.5” tall and change the text
wrap format to Through.
4. Recolor the image by applying Gold, Accent color 2 Light
(3rd column, 3rd row of the Recolor section of the Color
gallery).

5. Change the font size of the headline paragraph “Express
Yourself Language Institute” to 28 pt. and center-align the text.
(Hint: The image should remain left-aligned.)
6. Apply the Grid Table 4 – Accent 1 style to the table “Express
Yourself Language Institute through the Years” and format the
table using AutoFit Window.
7. Merge the three cells in the first row of the table and center-
align the text in the new merged cell.
8. Insert a new row in the table immediately above the row
starting with "Today" and enter the data shown in Table 1
below.
Table 1: New Table Row
© 2014 Cengage Learning.
9. On page 2, move the insertion point to the blank line after the
paragraph “The main driver…interest in those industries.”
Insert a table with 2 columns and 5 rows and enter the data
shown in Table 2 below.
Table 2: New Table
© 2014 Cengage Learning.
10. Apply the Grid Table 5 Dark – Accent 1 style and format the
table using AutoFit Contents.
11. Center-align the text in column 2 and then center the entire

table on the page.
12. Insert the Rounded Rectangle shape in the blank line above
the paragraph “In response to….” Resize the shape to 0.3” high
and 6.75” wide.
13. Type the text Our Response into the shape you just inserted.
Left-align the text, apply bold formatting, and change the font
color to White, Background 1 (1st column, 1st row in the Theme
Colors palette).
14. Select the heading "Beginning and Intermediate Arabic Fall
2015" and add a left tab stop at 4". Move the insertion point
before the text "Fall 2015" and insert a tab so that the text is
aligned with the new tab stop.
15. Move the insertion point to the blank line after the
paragraph “Additional upper-level Korean…assessed the
demand.” and insert the image file
support_SC_W13_C3_P1a_classroom.png available for
download from the SAM website.
16. Resize the image so that it is 75% of its original size, and
then recolor the image by applying Gold, Accent color 2 Light
(3rd column, 3rd row of the Recolor section in the Color
gallery).
17. Check the Spelling & Grammar in the document to identify
and correct any spelling errors. (Hint: You should find and
correct at least 1 spelling error.)
Your document should look like the Final Figure on the
following pages. Save your changes, close the document and
exit Word. Follow the directions on the SAM website to submit
your completed project.
Final Figure
Microsoft product screenshots used with permission from
Microsoft Corporation. Logo © 2014 Cengage Learning.
Copyright © 2014 Cengage Learning. All Rights Reserved.

Picture source: Office.com
Copyright © 2014 Cengage Learning. All Rights Reserved.
2
Educational Researcher, Vol. 39, No. 1, pp. 59–68
DOI: 10.3102/0013189X09357621
© 2010 AERA. http://er.aera.net
january/February 2010 59
The gap in achievement across racial and ethnic groups has been
a
focus of education research for decades, but the
disproportionate
suspension and expulsion of Black, Latino, and American Indian
stu-
dents has received less attention. This article synthesizes
research on
racial and ethnic patterns in school sanctions and considers how
disproportionate discipline might contribute to lagging
achievement
among students of color. It further examines the evidence for
stu-

dent, school, and community contributors to the racial and
ethnic
patterns in school sanctions, and it offers promising directions
for
gap-reducing discipline policies and practices.
Keywords: achievement gap; at-risk students; classroom
management; school psychology; student behavior/
attitude; violence
A
lthough our national discourse on racial disparity tends
to focus on academic outcomes—the so-called achieve-
ment gap—in school districts throughout the United
States, Black, Latino, and American Indian students are also
sub-
ject to a differential and disproportionate rate of school
disciplin-
ary sanctions, ranging from office disciplinary referrals to
corporal
punishment, suspension, and expulsion (Krezmien, Leone, &
Achilles, 2006; Wallace, Goodkind, Wallace, & Bachman,
2008).
Ostensibly, the intent of school disciplinary interventions is to
preserve order and safety by removing students who break
school
rules and disrupt the school learning environment and, by
setting
an example of those punished students, to deter other students
from committing future rule infractions. However, schools tend

to rely heavily on exclusion from the classroom as the primary
discipline strategy (Arcia, 2006), and this practice often has a
dis-
proportionate impact on Black, Latino, and American Indian
students. The use of school exclusion as a discipline practice
may
contribute to the well-documented racial gaps in academic
achievement. This suggests that there is a pressing need for
schol-
arly attention to the racial discipline gap if efforts addressing
the
achievement gap are to have greater likelihood of success.
In this article, we synthesize the research on racial and eth-
nic patterns in school discipline, and we suggest how the racial
discipline gap influences racial patterns in achievement. We
then
review the evidence on the factors that contribute to the disci-
pline gap. Specifically, we examine the degree to which low-
income status, low achievement, and rates of misconduct
contribute to why Black, Latino, and American Indian students
are overselected and oversanctioned in the discipline system.
We
argue that such student characteristics are not adequate to
explain the large disparities, and we describe school and teacher
contributors that need to be investigated in future research.
Finally, we identify methodological challenges to the study of
disproportionality and discuss promising strategies for gap-
reducing interventions.
Safety Efforts and Racial Disproportionality
A large body of evidence shows that Black students are subject
to
a disproportionate amount of discipline in school settings, and a

smaller and less consistent literature suggests disproportionate
sanctioning of Latino and American Indian students in some
schools.1 This conclusion has been drawn across a wide array of
sanctions (e.g., suspensions, office discipline referrals) and
meth-
odology (see discussion below). The Children’s Defense Fund
(1975) first brought the issue of racial disproportionality to
national attention, showing that Black students were two to
three
times overrepresented in school suspensions compared with
their
enrollment rates in localities across the nation. National and
state
data show consistent patterns of Black disproportionality in
school discipline over the past 30 years, specifically in
suspension
(McCarthy & Hoge, 1987; Raffaele Mendez, Knoff, & Ferron,
2002), expulsion (KewelRamani, Gilbertson, Fox, & Provasnik,
2007), and office discipline referrals (Skiba, Michael, Nardo, &
Peterson, 2002). According to a nationally representative study
utilizing parent reports, in 2003 Black students were
significantly
more likely to be suspended than White or Asian students (p <
.001). Specifically, almost 1 in 5 Black students (19.6%) were
suspended, compared with fewer than 1 in 10 White students
(8.8%) and Asian and Pacific Islanders (6.4%; KewelRamani et
al., 2007). A nationally representative survey of 74,000 10th
graders found that about 50% of Black students reported that
they had ever been suspended or expelled compared with about
20% of White students (Wallace et al., 2008). The study further
showed that, unlike the pattern for other racial and ethnic
groups,
suspensions and expulsions of Black students increased from
1991 to 2005 (Wallace et al., 2008).
The Achievement Gap and the Discipline Gap:

Two Sides of the Same Coin?
Anne Gregory, Russell J. Skiba, and Pedro A. Noguera
at UNIV CALIFORNIA SAN DIEGO on March 28,
2015http://er.aera.netDownloaded from
http://er.aera.net
educational researcher60
Although disproportionality in school discipline has been
documented for Latino and American Indian students, findings
related to such disparities have been inconsistent. National data
(U.S. Department of Education, National Center for Education
Statistics, 2003) show that, based on parent surveys
administered
in 1999, 20% of Latino students in Grades 7 through 12 had
ever
been suspended or expelled, which is a statistically significantly
lower rate (p < .001) than for Black students (35%) and a
statisti-
cally significantly higher rate (p < .001) than for White students
(15%). Analyzing racial disparities in discipline, Gordon, Della
Piana, and Keleher (2000) found that, in 3 of the 10 cities stud-
ied, the rates of suspended and expelled Latino students were
10% or more than 10% higher than the percentage of enrolled
Latino students. Inconsistency in findings was further
confirmed
in a study measuring disproportionality using odds ratios. Based
on state records from Maryland, Krezmien et al. (2006) found
that Latino students had similar or lower odds than White stu-
dents of being suspended for 9 successive years (1995–2003).
National and state data have also shown disproportionality in
discipline for American Indian students, although again there

appears to be some inconsistency (Wallace et al., 2008).
Krezmien
et al. (2006) showed that American Indian and White students
had a similar chance of being suspended from 1995 to 1998 in
Maryland. However, from 1998 to 2003, they found that
American Indians had significantly higher odds than Whites of
being suspended (odds ratios ranged from 1.5 to 1.8). The dis-
proportionality in American Indian suspension was again docu-
mented in nationally representative samples using school
records
(DeVoe & Darling-Churchill, 2008) and student reports
(Wallace et al., 2008). It is unclear whether the inconsistent
find-
ings on American Indian suspension is a statistical artifact
given
their relatively small numbers of suspended students (e.g.,
Krezmien et al., 2006) or if it reflects actual variability in
dispro-
portionate suspension rates across time and school districts.
Males of all racial and ethnic groups are more likely than
females to receive disciplinary sanctions. In 2004, only 1% of
Asian Pacific Islander females were suspended, compared with
11% of Asian Pacific Islander males (KewelRamani et al.,
2007).
Expulsion data from that same year showed that White females
were half as likely to be expelled as White males (p < .001), and
similarly, Black females were half as likely to be expelled as
Black
males (p < .05). Black males are especially at risk for receiving
discipline sanctions, with one study showing that Black males
were 16 times as likely as White females to be suspended (J. F.
Gregory, 1997).
Racial Disproportionality and Patterns in
Achievement

The consistent pattern of disproportionate discipline sanctions
issued to Black students and the trends in sanctions for Latino
and American Indian students, albeit less consistent, have rarely
been considered in light of the well-documented racial and
ethnic
disparities in school achievement (KewelRamani et al., 2007).
In
many schools, large proportions of a group (e.g., Black males)
receive at least one suspension, which typically results in
missed
instructional time and, for some, could exacerbate a cycle of
aca-
demic failure, disengagement, and escalating rule breaking
(Arcia, 2006). In fact, a suspended student may miss anywhere
from one class period to 10 or more school days, depending on
the violation and school policies. One of the most consistent
findings of modern education research is the strong positive
rela-
tionship between time engaged in academic learning and student
achievement (Brophy, 1988; Fisher et al., 1981; Greenwood,
Horton, & Utley, 2002). The school disciplinary practices used
most widely throughout the United States may be contributing
to lowered academic performance among the group of students
in greatest need of improvement.
Research shows that frequent suspensions appear to signifi-
cantly increase the risk of academic underperformance (Davis &
Jordan, 1994). Arcia (2006) followed two demographically
simi-
lar cohorts (matched on gender, race, grade level, family
poverty,
and limited English proficiency), contrasting a cohort that had
received at least one suspension with another that had received
no suspensions. In Year 1, suspended students were three grade

levels behind their nonsuspended peers in their reading skills,
but
were almost 5 years behind 2 years later. Although other
unmea-
sured risk factors may have contributed to cohort differences,
suspension may have initiated or maintained a process of with-
drawal from learning in the classroom. In the long term, school
suspension has been found to be a moderate to strong predictor
of dropout and not graduating on time (Ekstrom, Goertz,
Pollack, & Rock, 1986; Raffaele Mendez, 2003; Wehlage &
Rutter, 1986).
Discipline sanctions resulting in exclusion from school may
damage the learning process in other ways as well. Suspended
students may become less bonded to school, less invested in
school rules and course work, and subsequently, less motivated
to
achieve academic success. Students who are less bonded to
school
may be more likely to turn to lawbreaking activities and become
less likely to experience academic success. Consistent findings
highlight the importance of school bonding for reducing the risk
of delinquency (Hawkins, Smith, & Catalano, 2004).
Conversely,
Hemphill, Toumbourou, Herrenkohl, McMorris, and Catalano
(2006) found that taking into account previous violent and
aggressive behavior and a multitude of other risk factors (e.g.,
negative peer group, low grades), school suspension actually
increased the risk of antisocial behavior a year later. In sum,
dis-
proportionate school discipline experienced by some racial and
ethnic groups has important implications for academic out-
comes. There is a need for research to identify why racial
dispro-
portionality in discipline occurs and what types of disciplinary
practices might be less likely to exacerbate academic outcomes.

Explanations for the Racial Discipline Gap
Certain demographic characteristics that are more common
among some racial and ethnic groups have been used as a
primary
explanation for the racial discipline gap (see, e.g., National
Association of Secondary School Principals, 2000). Low-income
students with histories of low achievement, who reside in high-
crime/high-poverty neighborhoods, may be at greater risk for
engaging in behavior resulting in office disciplinary referrals
and
school suspension. A review of the literature suggests that such
characteristics likely account for some proportion of the gap in
sanctions across groups. Yet there is no evidence to suggest
demo-
graphic factors are in any way sufficient to “explain away” the
gap. Teacher and school factors need to be considered as
possible
contributors to the overselection and oversanction of Black,
Latino, and American Indian students.
Poverty and Neighborhood Characteristics
Race, socioeconomic status (SES), and characteristics of neigh-
borhoods associated with risk of negative outcomes are
frequently

connected in the United States (Duncan, Brooks-Gunn, &
Klebanov, 1994; McLoyd, 1998). The confluence of these
factors
makes it challenging to separate out the contributions of each to
the racial discipline gap. Many low-income students living in
urban neighborhoods may experience adversity, such as
exposure
to violence and substance abuse, which may increase the likeli-
hood of their receiving school sanctions (Brantlinger, 1991;
Bureau of Justice Statistics, 2005). Although there is no
evidence
that exposure to violence causes behavior difficulties, correla-
tional studies show links between exposure to violence and stu-
dent mental health and behavior in the classroom (e.g., Kuther
& Fisher, 1998). Many violence-exposed children suffer from
anxiety, irritability, stress, and hypervigilence (Gorman-Smith
&
Tolan, 1998). These conditions may have a negative effect upon
behavior in classrooms and result in increased discipline
referrals.
Exposure to violence may also influence how students cope in
school. One coping mechanism to ward off the threat of
violence
includes presenting a “tough front” or even arming oneself to
ward off future victimization (Anderson, 1999; Stewart,
Schreck,
& Simons, 2006). The need to negotiate what Anderson has
called the “code of the street” may contribute to behavior prob-
lems in school as students from high-crime neighborhoods
adjust
to a different set of norms in their interactions with peers and
teachers in school settings (Dance, 2002). Additional research is
needed to tease apart community effects (e.g., concentrated pov-
erty, neighborhood crime, and the stress of low SES) and their
impact on student behavior in school.

It is important to distinguish, however, between the role of
poverty in predicting disruptive behavior and the ways it may
contribute to racial and ethnic disparities in discipline. Existing
school discipline research suggests that student SES is limited
in
its explanatory power of the racial discipline gap (McCarthy &
Hoge, 1987; Wallace et al., 2008). Whether statistically control-
ling for a measure of SES at the school level (percentage of par-
ents unemployed or percentage of students enrolled in free or
reduced-cost meals; Raffaele Mendez et al., 2002; Wu, Pink,
Crain, & Moles, 1982) or at the student level (parental
education
or qualification for free or reduced-cost meals; McCarthy &
Hoge, 1987; Skiba et al., 2002), multivariate analyses have
repeatedly demonstrated that racial differences in discipline
rates
remain significant. The most recent of these analyses (Wallace
et al., 2008) used a series of logistic regressions to test
racial/ethnic
disparities in office disciplinary referrals, suspension, and
expul-
sion. Race/ethnicity remained a significant predictor of all three
disciplinary outcomes even after accounting for student-
reported
parental education, family structure (e.g., single-parent house-
hold), and urbanicity of neighborhood. In sum, being enrolled in
a school with high rates of low-income students (Raffaele
Mendez
et al., 2002; Wu et al., 1982) or being from a low-income family
(McCarthy & Hoge, 1987; Skiba et al., 2002) does increase the
likelihood that a student will be subject to punitive forms of
discipline and even appears to make a mild contribution to
disproportionality (Wallace et al., 2008). Yet the highly consis-
tent finding that race/ethnicity remains a significant predictor of

discipline even after statistically controlling for measures of
fam-
ily income suggests that student SES is not sufficient to explain
the racial discipline gap.
In fact, some research has found an inverse relationship
between student demographics and rates of disproportionality in
school discipline. Rausch and Skiba (2004), examining suspen-
sion and expulsion records across one Midwestern state,
reported
that Black students are at greater risk of suspension when com-
pared with White students, not in urban schools but, rather, in
more resource-rich suburban schools. Other research suggests
that the context of school or district racial climate may have an
influence on rates of disproportionality. Thornton and Trent
(1988) reported that racial disproportionality in school suspen-
sion was greatest in schools that had been recently
desegregated,
especially if those schools had a higher SES student population.
Conversely, Eitle and Eitle (2004) found decreased rates of dis-
proportionality in school suspension in schools that became
resegregated. Such data suggest that, at the school and district
levels, financial resources, staff perceptions, and racial climate
may be as important as student demographics in predicting
racial
disparity.
Low Achievement
Low achievement is another variable that may contribute to the
racial discipline gap. A wide body of research documents a
persis-
tent pattern that Asian and White students score higher on
achievement tests compared with Black, Latino, and American
Indian students (A. Gregory & Weinstein, 2004; U.S.
Department of Education, National Center for Education

Statistics, 2003). Faced with repeated academic struggles,
under-
performing students may become frustrated and disaffected and
have lower self-confidence, all of which may contribute to a
higher rate of school disruption (Miles & Stipek, 2006). Low
literacy achievement in the elementary grades is linked to later
aggression in third and fifth grades (Miles & Stipek, 2006).
Similar patterns have been found in later grades—low achieve-
ment in middle and high school is linked with more serious
forms of aggression a year later (Choi, 2007). Although it is
clear
that low achievement is highly correlated with aggressive
behav-
ior and disciplinary infractions, such patterns in and of them-
selves do not explain disproportionality in discipline. Studies of
the relationship between achievement and student discipline
have shown that when taking into account grade point average,
race remains a predictor of suspension (Wehlage & Rutter,
1986).
Moreover, it is also possible that any relationship between the
achievement gap and the discipline gap is in fact the product of
other variables, such as educational disadvantage. Ladson-
Billings
(2006) argues that what is widely viewed as an achievement gap
between White and Black students could more properly be
termed an “education debt” in that educational opportunities in
the Unites States have historically never been equalized for
differ-
ent groups. McLloyd (1998) notes that poverty’s effects on stu-
dents are mediated not simply by family or community risk
factors but also by poor school conditions in disadvantaged
neighborhoods. Poor students of color are more likely to attend
schools with lower quality resources and facilities (Kozol,
2005),

higher teacher turnover, and a lower percentage of highly quali-
fied teachers (Darling-Hammond, 2004). Discrepancies in the
quality of resources available to rich and poor districts are well
documented, but there is a need for sound policy research that
can specify how to address resource disparities in order to posi-
tively affect both the achievement gap and the discipline gap.
Differential Behavior
Another explanation for the racial discipline gap is that students
from certain racial and ethnic groups misbehave or contribute to
a lack of safety in schools more than students from other racial
and ethnic groups. Studies using both measures of student self-
report and extant school disciplinary records have examined this
premise and have generally failed to find evidence of racial
differ-
ences in student behavior (e.g., Skiba et al., 2002; Wehlage &
Rutter, 1986). In one of the earliest longitudinal studies of stu-
dent race and school sanctions for misbehavior, Wehlage and
Rutter examined predictors of school sanctions for 7th, 9th, and
11th graders over a 3-year period and reported that Black stu-
dents did not consistently report more misbehavior than White
students. This failure to find consistently large racial and ethnic
differences in student self-reported behavior has been corrobo-
rated in the literature (McCarthy & Hoge, 1987; Wu et al.,
1982). A recent study using a nationally representative sample
showed few and generally small differences in self-reported
unsafe
behavior across racial groups compared with the racial discrep-

ancy in discipline sanctions (Dinkes, Cataldi, & Lin-Kelly,
2007). There were, for example, no differences in self-reported
weapon carrying among Black, White, and American Indian stu-
dents. Some of the most recent data on school safety (Bauer,
Guerino, Nolle, & Tang, 2008) show that victimization by vio-
lence or theft is not statistically differentiated by race, with
simi-
lar percentages of White (4.7%), Black (3.8%), and Latino
(3.9%) students reporting that they had been victimized in the
past 6 months in school.
The use of self-report data, however, can raise questions about
the accuracy of the student reporters and hence the validity of
the
results. Hindelang, Hirschi, and Weis (1979) hypothesized that
the failure to find differences between Black and White self-
report of serious delinquent behavior could be due to underre-
porting by Black youth. Studies examining this hypothesis,
however, have failed to find support for it. McCarthy and Hoge
(1987) examined whether Black students, more than White stu-
dents, underreported their rule-breaking behavior. Comparing
student self-report with a sample of teacher reports of rule
break-
ing from a sample of 1,125 7th and 11th graders, the researchers
found no clear pattern that teacher reports were more highly
cor-
related with either White or Black self-reports of misconduct,
and they concluded that neither group tended to systematically
under- or over-report their misconduct.
The findings of self-report data have also been corroborated
by studies using extant school data on office referrals, which
have
also failed to find substantial differences in rates of disruptive
school behavior by race. McFadden, Marsh, Price, and Hwang
(1992), studying discipline records in a single Florida school

dis-
trict, found no general differences in behavior between White
and
Black students and indeed found that White students engaged in
a higher level of those behaviors (e.g., defiance, fighting, and
bothering others) that tended to result in suspension or corporal
punishment. Similarly, Shaw and Braden (1990) reported that
White children in a single school district were significantly
more
likely than Black children to be referred for disciplinary action
for
severe rule violations, despite the overrepresentation of Black
stu-
dents in that district in corporal punishment. Finally, Skiba et
al.
(2002) set out specifically to test the differential behavior
hypoth-
esis, using disciplinary referrals from all 19 middle schools in a
single large urban district. They found no evidence that either
Black or White students were referred to the office for more
seri-
ous behaviors. The analyses did show, however, that reasons for
referring White students tended to be for causes that were more
objectively observable (smoking, vandalism, leaving without
per-
mission, obscene language), whereas office referrals for Black
stu-
dents were more likely to occur in response to behaviors
(loitering,
disrespect, threat, excessive noise) that appear to be more
subjec-
tive in nature. In short, there appears to be a notable paucity of
evidence that could support a hypothesis that the racial
discipline
gap can be explained through differential rates of misbehavior.

Differential Selection
In juvenile justice research, there has been a similar focus on
exploring disproportionate minority contact in the justice
system
(Piquero, 2008). Some of this research has sought to identify
whether the high incarceration rates of ethnic minority youth,
compared with the rates of White youth, are due to their higher
rates of illegal behavior or due to institutional practices such as
patterns in police surveillance, racial profiling, or biased
sentenc-
ing (Piquero, 2008). This research provides a useful framework
for understanding discrimination as a contributor to the racial
discipline gap in schools. Specifically, the “differential
selection”
hypothesis asserts that ethnic minorities are more likely to be
arrested because they are more likely to be picked out for
wrong-
doing despite similar levels of infractions (Piquero, 2008). This
hypothesis is useful when applied to the school setting; that is,
despite relatively similar rates of disruption, Black, Latino, or
American Indian students may be more likely to be
differentially
selected for discipline consequences.
There is a fairly substantial research base suggesting that dif-
ferential selection at the classroom level contributes in some
way
to racial/ethnic disproportionality in school disciplinary out-
comes. Consistent findings of disproportionality in office refer-
rals (Skiba et al., 2002; Skiba et al., 2008; Wallace et al., 2008)
suggest that racial/ethnic disparities in discipline begin at the
classroom level. In an ethnographic observational study of
urban
classrooms, Vavrus and Cole (2002) found that many office

refer-
rals leading to school suspension were due to what the authors
described as a student’s “violation of implicit interactional
codes,”
most often a student calling into question established classroom
practices or the teacher’s authority. Those students singled out
in
this way were disproportionately students of color. Skiba et al.
(2002) reported on findings of referrals based on objective
versus
subjective reasons by race. Together with findings that Black
stu-
dents are more likely than White students to be referred to the
office for defiance (A. Gregory & Weinstein, 2008) or noncom-
pliance (Skiba et al., 2008), these results strongly suggest that
some process of differential selection at the classroom level
may
contribute to disparities in discipline.
Explanations for the overselection of certain students for dis-
cipline may include cultural mismatch, implicit bias, or
negative
expectations in classrooms and schools. The cultural mismatch
hypothesis suggests that the classroom culture or the teacher’s
culture is at odds with the culture of ethnic minority students
(Irvine, 2002; Townsend, 2000). For instance, Boykin and col-
leagues argued that Western European–based individualism and

competitiveness are the dominant underlying ideologies guiding
classroom activities (Boykin, Tyler, & Miller, 2005)—an
orienta-
tion that may clash with a stronger emphasis on communal val-
ues in Black, Latino, and American Indian culture (Gay, 2006).
Gay further suggested that communicative tensions can arise
through cultural difference. Specifically, differences in ways of
communicating between Blacks (e.g., animated, interpersonal)
and Whites (e.g., dispassionate, impersonal) may lead to
conflict
(Kochman, 1981). In a study of 62 White elementary teachers
who taught in two predominantly Black schools, Tyler, Boykin,
and Walton (2006) found that teachers were more likely to rate
vignettes of students who exhibited competitive and individual-
istic behavior as motivated and achievement oriented than stu-
dents who exhibited more communal and vervistic (e.g.,
collaborative and multitasking) behaviors. Such findings, if
vali-
dated in actual classroom settings, would indicate a differential
perception on the part of teachers that could well advantage
White students exhibiting competitive behaviors and disadvan-
tage Black students exhibiting a more active and community-
oriented learning style.
Other scholars have focused on ways in which negative teacher
beliefs and expectations can contribute to racially related
author-
ity conflicts (R. S. Weinstein, 2002; R. S. Weinstein, Gregory,
&
Strambler, 2004). In her ethnography of school discipline in an
elementary school, Ferguson (2000) observed patterns in nega-
tive teacher–student interactions and argued that these events
were fueled by White teachers’ overreacting and relying on
stereo-
types to interpret Black students’ language and physical expres-
sion. Given stereotypes and media portrayals of Black youth as

dangerous and aggressive (Devine & Elliot, 2000; Noguera &
Akom, 2000), teacher expectations for behavior may also influ-
ence whether these students are selected for discipline
sanctions.
A related area of research examines how implicit beliefs may
neg-
atively affect Black and Latino students. Implicit racial bias,
according to social psychologists, operates out of conscious
awareness yet influences decision making (e.g., Dovidio, Glick,
& Rudman, 2005). Although no studies have been conducted on
the implicit bias of teachers and how race may activate stereo-
types, Graham and Lowery (2004) conducted an analogous
experimental study with police and probation officers. They
found that, compared with officers who were subliminally
primed with neutral, non-race-related words, officers who had
been subliminally primed with words related to the category
Black were more likely to recommend harsher punishments for
adolescents who had committed crimes, as presented in
standard-
ized, written vignettes.
Taken together, research on classroom processes suggests that
Black students are differentially selected for discipline referral
(e.g., Skiba et al., 2002), although there is insufficient data to
establish why this may occur. Several reasons may include
societal
stereotypes, implicit bias, or cultural mismatch between
teachers
and Black students. To advance research in this area, a
systematic
line of mixed-methods research is needed, using observational
studies of classroom interactions and interviews of teachers and
students concerning the process of school discipline. Coding of
teacher–student interactions could help identify whether teach-
ers are more or less tolerant of racially specific deviations from

implicit behavioral standards in the classroom.
Differential Processing
The differential processing hypothesis asserts that
discrimination
occurs in the courts and correctional systems, which leads to a
disproportionate arrest and incarceration rate of minorities
(Piquero, 2008). Subjective judgments in sanctioning may be
det-
rimental to Black, Latino, and American Indian youth. Morrison
(Morrison et al., 2001; Morrison & Skiba, 2001) noted that the
application of school consequences such as suspension and
expul-
sion represents less a discrete event than a complex process
whose
outcome is influenced simultaneously by student behavior,
teacher classroom management, administrator perspectives, and
school policy. There is tremendous local flexibility in the types
of
infractions that move forward from the classroom to the office
and in the types of consequences issued by administrators. The
Gun-Free Schools Act of 1994 mandates a 1-year expulsion for
the possession of firearms at school, but such consequences can
be
modified based on the discretion of the district administration.
Thus, in general, there is considerable flexibility in the type and
length of sanction students receive for an infraction. For the
same
offense, one administrator may decide to mandate a conference
with parents or guardians; a different administrator may
mandate
a 5-day suspension (Noguera & Yonemura Wing, 2006).
The most well-documented gap in sanctions is between Black
and White students. Wehlage and Rutter (1986) found that

Black students were more likely than White students to report
being sent to the principal’s office and were more likely than
White students to report being suspended even though they did
not report higher incidents of misbehavior, across 2 years of
study. These findings suggest a discrepancy between sanctions
and student-reported behavior. Indeed, it may be that Black stu-
dents are suspended and punished for behavior that is less
serious
than the behavior of other students. McFadden, Marsh, Price,
and Hwang (1992) reported that Black pupils in a Florida school
district were more likely than White students to receive severe
punishments (e.g., corporal punishment, school suspension) and
less likely to receive milder consequences (e.g., in-school
suspen-
sion). These results are consistent with findings that Black stu-
dents were referred for corporal punishment for less serious
behavior than were other students (Shaw & Braden, 1990).
These findings, as a whole, suggest harsh sanctions issued to
Black students may contribute to their overrepresentation in dis-
cipline data.
Methodological Issues and Recommendations
Although the concept of disproportionate representation seems
straightforward, its measurement can be complex, as demon-
strated in special education research (Skiba et al., 2008). The
com-
position index (Donovan & Cross, 2002) compares the
proportion

of those served in special education represented by a given
ethnic
group with the proportion that group represents in the popula-
tion or in school enrollment. For example, Black students
account
for 33% of students identified as mentally retarded at the
national
level, clearly discrepant from their 17% representation in the
school-aged population (Donovan & Cross, 2002). Although an
intuitive measure, problems with interpretation and scaling of
the composition index measure have led the field toward use of
the risk index and risk ratio (Coutinho & Oswald, 2000; Skiba
et
al., 2008; Westat, 2005). The risk index is the proportion of a
given group in a given category; at the national level, 2.64% of
all Black students enrolled in the public schools are identified
as
mentally retarded (Donovan & Cross, 2002). To interpret the
risk index, a ratio of the risk of the target group to one or more
groups may be constructed, termed a risk ratio (Hosp &
Reschly,
2003; Parrish, 2002). Comparison of Black student risk for
iden-
tification as mentally retarded (2.64%) with the White risk
index
of 1.18% for that category yields a risk ratio of 2.24
(2.64/1.18),
suggesting that Black students are over two times more likely to
be served in the category mental retardation than White
students.
The same data can also be used to compute an odds ratio (Finn,
1982), often drawn from logistic regression (Wallace et al.,
2008).
In contrast to the risk ratio, the odds ratios assesses both occur-

rence and nonoccurrence data.
Methodological issues in the measurement of disproportion-
ality remain outstanding, including criteria for determining a
significant level of disproportionality (Bollmer, Bethel,
Garrison-
Mogren, & Brauen, 2007; Skiba et al., 2008), the appropriate
comparison group when calculating risk ratios (Westat, 2004),
and the comparability of risk and odds ratios (Davies, Crombie,
& Tavakoli, 1998). In the face of national special education law
mandating the identification of significant disproportionality at
the local level, however, criteria for making that determination
are necessary. Thus, the U.S. Department of Education Office of
Special Education Programs issued policy guidance to state and
local education agencies regarding the calculation and
interpreta-
tion of risk indices and risk ratios (Westat, 2004, 2005), which
has
implications for how disproportionality in discipline sanctions
could be identified. The Office of Special Education Programs
recommends that a risk ratio can be used to understand the rela-
tive risk of students receiving special education services for
differ-
ent racial and ethnic groups (Westat, 2005). The office cautions,
however, that risk ratios are difficult to interpret when based on
small numbers of students in a racial and ethnic group. It
further
describes the benefits of a weighted risk ratio, which takes into
account differences in the size of racial and ethnic groups. This
allows for comparison of risk ratios across districts with
varying
racial and ethnic composition.
Improved measurement of the racial discipline gap should
advance substantive areas of inquiry. One important area relates
to the unique contributions of student, teacher, school, and fam-

ily and neighborhood to the racial discipline gap. As of yet,
there
have been no comprehensive studies or systematic lines of
research that have disentangled the unique effects of these con-
tributors. Education researchers might follow the lead of a
recent
study by Sampson, Morenoff, and Raudenbush (2005) on the
gap in community violence between White, Black, and Latino
young adults, which offers a guide for ecologically sensitive
research on race and discipline. Using data from almost 3,000
young adults in 180 Chicago neighborhoods, Sampson and col-
leagues identified the unique contributions of individual, home,
and neighborhood variables to the relative odds of self-reported
violence for each racial and ethnic group. The apparent multi-
level causation of disciplinary disproportionality strongly sug-
gests that multivariate procedures, in particular hierarchical
approaches (Raudenbush & Bryk, 2002), will be most appropri-
ate in future research. The next generation of research could
simultaneously consider the effects of student attitude and
behav-
ior, teacher tolerance and classroom management skills,
adminis-
trative leadership, school climate, and school and community
demographics on the racial discipline gap.
Following the lead from research on the juvenile justice system
(Piquero, 2008), systematic lines of research on the chain of
events that culminate in suspension and expulsion are needed.
Unfair selection and sanction at various points in the discipline
process could additively contribute to the discipline gap.
Another
crucial area of research needs to test mechanisms and develop
theory regarding the conscious and unconscious processes that
result in differential treatment of some racial and ethnic groups.
Previous research has shown that cultural mismatch between

teachers and students can contribute to misunderstandings, fear,
and conflict with respect to pedagogy (Irvine, 2002; Ladson-
Billings 1995; Pollack, 2008); further research is needed on the
extent to which such processes also contribute to inequitable
dis-
ciplinary practices. Social class, immigrant status, racial and
eth-
nic identity, neighborhood and familial diversity, and educator
training and perspectives may all affect student behavior,
teacher
responses, or their interaction. Clearly, conducting research that
could truly sort out the numerous and interacting sources of
vari-
ance contributing to disciplinary disproportionality is challeng-
ing. Subtle and implicit processes related to racial bias,
negative
expectations, or stereotypes are not easily detected outside of
con-
trolled laboratory conditions, and it is not a simple matter to
observe the complex and interactive social processes that can
con-
tribute to an escalating sequence of actions and reactions during
actual discipline encounters.
Identifying the characteristics of resilient schools is another
important next step in research on racial and ethnic disparities
in
school discipline. In the field of public health, research has
estab-
lished a strong link between community violence and manifesta-
tions of school violence (Ozer, 2005). Not surprisingly, schools
in areas with a high incidence of crime and violence also tend to
experience higher rates of violence and disorder (Noguera,
2003).
Yet the presence of schools that demonstrate positive outcomes
despite their location in high-risk neighborhoods (e.g., Welsh,

Greene, & Jenkins, 1999) strongly suggests that neighborhood
and family disadvantage be approached in research and practice
as conditions that increase educational challenge, rather than as
limiting conditions. In particular, there is a need for additional
research on the types of strategies schools can implement to
reduce the effects of violence in neighboring communities.
Disciplinary Practices, Prevention Programming, and
School Reform
Existing research on the racial discipline gap suggests that,
similar to
efforts that address the achievement gap or the disproportionate
number of Black students placed in special education (Skiba et
al.,
2008), no single causal factor can fully explain racially
disparate
discipline, and no single action will therefore be sufficient to
ameliorate it. Multifaceted strategies may offer promise, but
there
is as yet no empirical research testing specific interventions for
reducing the discipline gap.
Given the lack of systematic research addressing the effective-
ness of gap-reducing interventions, promising directions must
be
extrapolated from other intervention research. Freiberg and

Lapointe (2006) reviewed 40 school-based programs targeting
the reduction of behavior problems in schools. Of those, 29
were
implemented with Black, Latino, urban, and low-income stu-
dents and offered some evidence for their success in increasing
student problem solving and/or reducing difficulties in
classroom
management for participants as a whole. Freiberg and Lapointe
identified commonalities among those effective programs. The
programs move beyond discipline, emphasizing student learning
and self-regulation, not simply procedures for addressing rule
infractions. They encourage “school connectedness” and “caring
and trusting relationships” between teachers and students.
Overall, the programs try to increase students’ positive
experience
of schooling and to move away from a reliance on punitive reac-
tions to misbehavior.
The programmatic commonalities described by Freiberg and
Lapointe (2006) offer a promising direction for lowering the
oversanctioning of Black, Latino, and American Indian students.
Yet universal approaches to educational practice have
frequently
been critiqued for not specifically addressing the racial
dynamics,
economic stressors, or other influences on the racial discipline
gap (Goldstein & Noguera, 2006). In a national sample of
schools at the elementary and middle school level that imple-
mented positive behavior supports for at least a year, Skiba et
al.
(2008) reported generally positive findings before
disaggregation
by race but significant disciplinary disproportionality for Black
and Latino students in both office disciplinary referrals and
administrative consequences when the data were disaggregated.
Explicit attention to issues of race and culture may be necessary

for sustained change in racial and ethnic disciplinary
disparities.
Studies of successful teachers of Black students support the
idea that teachers differ from one another in their ability to
elicit
cooperation and diffuse conflict. A. Gregory and Weinstein
(2008) found that teachers who elicited trust and cooperation
with their Black students tended to use an authoritative style of
teaching—one in which teachers showed both caring and high
expectations. These “warm demanders” (Irvine, 2002) may pro-
vide cultural synchronization between authority in the home and
in the school. Teachers’ use of humor, emotions, and colloquial
expressions are other avenues through which cultural synchrony
may occur (Monroe & Obidah, 2004; C. S. Weinstein,
Tomlinson-Clarke, & Curran, 2004). Additional research on
preservice teacher training and professional development is
needed to ascertain if an increase in teacher cultural responsive-
ness or synchrony with students is linked to lower discipline
referrals for Black, Latino, and American Indian students.
Overall, little is known about the types of interventions that
reduce the racial discipline gap. Given the research on possible
con-
tributors to the gap, a variety of strategies may be needed,
includ-
ing (a) increasing the awareness of teachers and administrators
of
the potential for bias when issuing referrals for discipline, (b)
utilizing a range of consequences in response to behavior prob-
lems, (c) treating exclusion as a last resort rather than the first
or
only option, (d) making a concerted effort to understand the
roots of behavior problems, and (e) finding ways to reconnect
students to the educational mission of schools during

disciplinary
events (Noguera, 2007).
Summary
The racial and ethnic disparity in discipline sanctions has not
received the attention it deserves. Few studies have examined
where and why disproportionality between Black and White stu-
dents is on the increase, especially for Black females (Wallace
et al., 2008). Discipline trends for Latinos have been inconsis-
tently documented. Given the diversity of Latinos in the United
States (e.g., immigrant status, country of origin), in-depth
exam-
inations of different Latino groups is needed (e.g., first-genera-
tion Mexican American, third-generation Cuban American).
Moreover, comparisons of schools with racial diversity versus
racial homogeneity would be informative. Such research would
then lend itself to inquiry about why such trends exist in school
discipline.
Unfortunately, the discourse on racial and ethnic dispropor-
tionality seems to be constrained by simplistic dichotomies that
artificially pit individual student characteristics (e.g., student
aggression, disengagement from school) against systemic
factors
(e.g., school administrators’ implicit bias, community violence)
as the reason why some groups are overrepresented in
suspension
or expulsion (Skiba et al., 2008). The multiple and interacting
variables that appear to contribute to racial and ethnic
disparities
in discipline demand a more comprehensive and nuanced
approach. More sophisticated statistical methodologies such as
hierarchical linear modeling or sequential analysis (Gottman &
Roy, 1990) may prove to be better suited for modeling the com-
plexity of inequitable outcomes in school discipline.

At this time, however, little is known about the efficacy or
effectiveness of possible “gap-reducing” interventions. What
types
of interventions might successfully increase teacher and
adminis-
trator awareness of the potential for bias when issuing referrals
for
discipline? Do interventions aimed at using exclusion as a last
resort rather than the first or only option reduce the gap in
refer-
rals across racial and ethnic groups? Will interventions aimed at
reducing the achievement gap, such as access to rigorous
curricu-
lum and caring teacher–student relationships, be accompanied
by
a narrowed discipline gap? Can gap-reducing interventions draw
on universal approaches, or do they need targeted, culturally
spe-
cific approaches that respond to the students’ cultural and
socio-
economic contexts? Effectively addressing these questions
poses a
serious challenge to researchers, as it necessarily involves
attention
to the complex, politically charged, and often personally
threaten-
ing topic of race. Yet creativity and perseverance will be
necessary
to craft such research if we are to understand and develop inter-
ventions that can effectively reduce the racial discipline gap.
NoTE
1Rarely does research differentiate between expulsion resulting
in

alternative educational services or exclusion from such services.
As a
result, this review must rely on a broad usage of the term
expulsion.
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AUTHoRS
ANNE GREGORY is an assistant professor in the Graduate
School of
Applied and Professional Psychology at Rutgers University, 152
Frelinghuysen Road, Piscataway, NJ 08854; [email protected]
Her research interests include disproportionality in school
discipline
sanctions and the role of teacher–student relationships in
fostering coop-
eration in the high school classroom.

RUSSELL J. SKIBA is a professor in the Department of
Counseling and
Educational Psychology and director of the Equity Project at
Indiana
University, 1900 East 10th Street, Bloomington, IN 47406;
[email protected]
.edu. His research interests include school discipline and school
violence,
and equity in school discipline and special education.
PEDRO A. NOGUERA is the Peter L. Agnew Professor of
Education at
the Steinhardt School of Culture, Education and Development,
New
York University, and executive director of the Metropolitan
Center for
Urban Education, 726 Broadway, 5th Floor, New York, NY
10003;
[email protected] His research focuses on the ways schools are
influenced
by social and economic conditions.
Manuscript received June 24, 2009
Revision received October 20, 2009
Accepted November 2, 2009

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