Urban versus Rural Community Colleges: A National Study of Student Gender and Ethnicity
By Tara Tietjen-Smith, Lee Rusty Waller, Jason Davis, Michael Copeland
Volume 6 - Issue 4
Oct 13, 2008 - 11:20:26 AM
Approximately half
of the U.S.
population currently lives in suburban locales, one-fourth in big cities, and
another fourth in small towns and rural areas.
Hodgkinson (2003) indicates that the U.S. population is undergoing an
increasing migration into rural areas.
This relocation holds many challenging and ominous implications for
urban and rural higher education as colleges and universities struggle to meet
the divergent needs of shifting demographics.
Public community colleges are especially impacted by these changes in
student populations.
Honeyman and
Sullivan (2006) identified three critical issues faced by administrators of
community colleges: (1) continuation of open access policies; (2) establishment
of an accrediting body for community colleges; and (3) formation of
partnerships with vocational colleges.
Minority students are most likely to be impacted by loss of open
access. The California Postsecondary
Education Commission (2006), likewise, identified three major issues currently
affecting California community colleges in rural and remote areas: (1) diverse
student needs; (2) rural community colleges receiving less funding and more
legislative funding cuts than their urban counterparts; and (3) restrictive
administrative policies that limit rural community colleges from expanding
their programs.
Substantial shifts
in demographics may further complicate the problems faced by public rural
community colleges. The demise of open
access, a cornerstone in community college education, may loom eminently near. Pennington, Williams, and Karvonen (2006)
identified a host of problems brought on by changes in student
demographics. Funding, grants, and
technology were particularly highlighted.
Waller, Flannery, Adams, Bowen, Norvell, Sherman, et.al. (2007)
identified inequities in ad valorem tax revenue between metropolitan and
non-metropolitan public community colleges in the Lone Star State.
Bolman and Deal
(1995) and Lyson (2002) emphatically discussed the importance of educational
institutions to the well-being of rural communities. Public community colleges often serve as the
educational fulcrum upon which much of the local economy depends. They provide a skilled workforce to meet
local need. Without their efforts many
critical employment fields would not be assessable to rural communities. Access to meaningful employment for minority
populations residing in rural areas is clearly linked with access to higher
education opportunity and services.
McHewitt
(1993) found significant differences in graduation rates among Virginia
Community College institutions with age, race, and gender related to successful
completion of an award (i.e., certificate, diploma, or associate degree). The
researcher also found that students who initially enrolled full-time were five
times more likely to graduate than part-time students.
Fischer (2007)
indicated that minority student enrollment in higher education has increased
significantly over the last 30 years. African-American student enrollment
increased by 14.9%, and Hispanic/Latino enrollment increased by 25.4%. The numbers of international students also
increased with over a half million enrolled in American higher education
institutions and over 80,000 of these enrolled in community colleges during the
2005 to 2006 academic year (Chen, 2007).
Beekhoven, De
Jong, and Van Hout (2004) studied 520 university students in the Netherlands to
determine if ethnicity (Dutch versus non-Dutch) affected perception of personal
problems and “study progress.” Minority
(non-Dutch) students felt that they were not as integrated as their Dutch
counterparts. They perceived themselves
to have more personal problems. The
researchers found that minority students faced more challenges than those in
the majority and were more likely to drop out of school. Fischer (2007) found that lack of “formal
academic ties” as well as “informal social ties” with both professors and other
students were strongly associated with attrition rates.
Cole, Matheson,
and Anisman (2007) studied 273 students at a predominantly White Canadian
university to determine if negative stereotypes of minorities would affect
academic performance. Even though
minority students had similar expectations of academic success at the beginning
of the school year, they exhibited higher levels of anxiety and depression at
the end of the school year. Conversely,
students who had higher levels of anxiety and depression at the end of the
school year had poorer grades.
In a study of
4,655 individuals enrolled in higher education, 349 of whom were enrolled
part-time, Stratton, O’Toole, and Wetzel (2007) found that “racial and ethnic
characteristics had a greater impact on those initially enrolled part-time” (p.
453) versus full-time. In other words,
if an individual was a minority and enrolled part-time, the chances of dropping
out increased. The Washington State
Board for Community and Technical Colleges (2005) compiled a progress report of Washington community and
technical colleges. They found that
although minority students had “equitable” access to community colleges, the
dropout rate was higher for these students and most of them were not as
“college ready” as their majority counterparts.
Current federal
definitions for degree of urbanization were utilized in this study. “City” refers to populations from inside an
urbanized area and inside a principle city greater than or equal to
100,000. The classification of
“suburban” refers to populations inside an urbanized area but outside a
principle city. “Town” is described as a
territory inside an urban cluster but outside an urbanized area. “Rural” refers to an area outside an
urbanized area (IPEDS, 2007).
Purpose
The researchers
examined student gender and ethnicity in public two-year, degree-granting
community colleges by the four major degree of urbanization classifications of
city, suburban, town, and rural. The
following four research questions were explored:
1.
What is the gender distribution at public two-year,
degree-granting community colleges by the four major degree of urbanization
classifications of city, suburban, town, and rural?
2.
What is the ethnicity distribution at public two-year,
degree-granting community colleges by the four major degree of urbanization
classifications of city, suburban, town, and rural?
3.
What differences in gender distribution exists between
and among public two-year, degree-granting community colleges by the four major
degree of urbanization classifications of city, suburban, town, and rural?
4.
What differences in the distribution of ethnicity
exists between and among public two-year, degree-granting community colleges by
the four major degree of urbanization classifications of city, suburban, town,
and rural?
Methodology
The analysis
utilized national data extracted from the Integrated Post-Secondary Education
Data System (IPEDS). The data include
the limitations traditionally associated with institutional self-reporting and
estimation of enrollment patterns. The
most current information available at the time of the study was for the 2005
academic year (AY 2005). Extracted data
correspond to the public 2-year sector and degree granting status. The study was delimited to the primary
degrees of urbanization provided through the IPEDS data cutting tool. Sub-degrees were combined into the primary urbanization
degrees of city, suburban, town, and rural.
“City” was defined
as within an urbanized area and a principal city. “Suburban” was within an urbanized area but
outside a principal city. “Town” was
outside an urbanized area but containing an urbanized cluster. “Rural” was defined by default as outside an
urbanized area without an urbanized cluster.
Although data for American Samoa, the
Commonwealth of the Northern Mariana Islands, Guam, and the Virgin
Islands are generally included in the IPEDS extractions, they were
omitted from this study. (IPEDS, 2007)
The data set
provided institutional reports of AY 2005 headcounts by the classifications of
total enrollment, male, female, white non-Hispanic, black non-Hispanic,
Hispanic, Asian or Pacific Islander, Native American or Native Alaskan,
ethnicity unknown, and non-resident alien.
The percentages of each demographic were calculated by the following
formulas:
1.
Percentage Male = Male Headcount / Total Headcount;
2.
Percentage White non-Hispanic = White non-Hispanic Headcount / Total Headcount;
3.
Percentage Black non-Hispanic = Black non-Hispanic Headcount / Total Headcount;
Statistical
Packages for the Social Sciences (SPSS) was utilized to obtain descriptive
statistics and to conduct multiple-factor analysis of variance (ANOVA) to
examine differences between and among the several variables. The statistical testing utilized a significance
level of 0.05. Post hoc analyses were
conducted where required to address the third and fourth research
questions. The post hoc analyses
utilized the Dunnett T3 and did not assume homogeneity of variances.
Findings
Descriptive
analysis of gender and ethnicity is provided in Appendix 1. Gender and ethnicity categories are
subdivided into classifications of city, suburban, town, rural, and total. Analyses indicated that public two-year,
degree granting institutions are composed of 59.3% female and 40.7% male
enrollment. Rural institutions posted
the highest percentage of female enrollment at 60.5% followed by 59.5% in their
town counterparts. Suburban colleges
indicated the lowest percentage of female enrollment at 58.1%, only slightly
higher than the 58.7% female enrollment of city colleges. Though national demographics for public
two-year, degree-granting colleges were predominantly female, rural
institutions provided higher percentages of females while suburban colleges
enrolled the highest percentages of males.
The study provided student
demographics for the 1,043 public two-year, degree-granting colleges as
follows: 64.8% white non-Hispanic, 13.6% black non-Hispanic, 9.3% Hispanic,
3.9% Asian/Pacific Islander, 3.0% Native American/Native Alaskan, 4.6%
ethnicity unknown, and 0.8% non-resident alien.
City colleges provided the lowest white non-Hispanic enrollment at 55.5%
and the highest black non-Hispanic, Hispanic, and non-resident alien
enrollments of 16.3%, 14.2%, and 1.3%.
Suburban colleges followed suit with demographics of 60.8% white
non-Hispanic, 12.8% black non-Hispanic, 11.9% Hispanic, 6.3% Asian/Pacific
Islander, 0.7% Native American/Native Alaskan, 6.2% unknown, and 1.2%
non-resident alien.
Town and rural colleges tracked
closely together in all ethnicity categories.
Town institutions indicated the highest percentage of white non-Hispanic
enrollments at 73.6% and the lowest black enrollments at 10.9%. For town colleges, Hispanic, Asian/Pacific
Islander, Native American/Native Alaskan, unknown, and non-resident alien
enrollments were 6.3%, 2.1%, 3.1%, 3.5%, and 0.5% respectively. Rural colleges posted the highest Native
American/Native Alaskan enrollments at 6.2% and lowest Hispanic, Asian/Pacific
Islander, and non-resident alien enrollments at 5.1%, 1.8%, and 0.4%. Black non-Hispanic and unknown enrollments
were 13.7% and 3.5%.
The wide ranges in gender and
ethnicity percentages warranted further analysis. Results of the multiple-factor analysis of
variance (ANOVA) are provided in Appendix 2.
Significant differences between public two-year, degree granting
colleges were identified in regard to gender and all classifications of
ethnicity. Significance was 1.5% for
gender. Significance levels for ethnicity were 0.1% for white non-Hispanic,
0.2% for black non-Hispanic, 0.1% for Hispanic, 0.1% for Asian/Pacific
Islander, 0.1% for Native American/Native Alaskan, 0.1% for unknown, and 0.1%
for non-resident alien. All significance
levels fell well below the 5.0% threshold.
Post
hoc analysis is provided in Appendix 3 and utilized a significance level of
5.0%. Suburban and rural public
two-year, degree granting institutions differed in student gender. Suburban institutions indicated a higher percentage
of male enrollments than their rural counterparts. The rural colleges posted greater percentages
of female enrollments.
Examination of student ethnicity
indicated that town and rural colleges enrolled higher percentages of white
non-Hispanic students than their sister institutions in city and suburban
areas. City colleges served higher
percentages of black enrollments than their town counterparts. City and suburban institutions were closely
linked and indicated higher percentages of Hispanic, Asian/Pacific Islander,
unknown, and non-resident alien enrollments than town and rural colleges. Rural institutions posted higher percentages
of Native American/Native Alaskan enrollments than city and suburban
colleges.
Perhaps the most startling
demographic differences occur in the percentages of Hispanic enrollments in city
and suburban colleges when compared to town and rural institutions. The former enrollments more than doubled the
latter.
Conclusions and Recommendations for Further Research
Community college
enrollments clearly differ in gender and ethnicity when examined in light of
degrees of urbanization. Colleges with
higher degrees of urbanization track closely together in contrast to those with
lesser degrees of urbanization. Questions
arise as to why urbanized colleges have greater percentages of Hispanic and
black students than non-urbanized counterparts.
Why does the percentage of Hispanic enrollment in city and suburban
colleges more than double that in town and rural institutions? What issues are driving these enrollment
trends? Do population demographics
differ so widely between urban and rural areas that such has affected college
enrollments? Are other issues causing
the enrollment percentages to diverge?
Do urbanized institutions more adequately meet the needs of Hispanic
students? Do non-urbanized institutions
lack the educational resources required to adequately serve their Hispanic
populations? The questions are endless.
Given disparities
in minority enrollments, policy and decision makers must recognize the
importance of public community colleges in providing minority access to higher
education. Failure to address access
will only serve to further exclude already excluded segments of the
population. Additional research is
called for to more adequately examine issues related to minority enrollments in
higher education. The following national
studies of public two-year, degree-granting colleges are suggested.
Population demographics should be examined in
relation to degrees of urbanization.
Do differences in population ethnicities exist between and among
the four major classifications of urbanization? How closely do college student
ethnicities parallel the demographics of their service areas?
Faculty demographics should be reviewed in regard to
the degree of urbanization of public two-year, degree granting
colleges. Do differences exist in
regard to faculty demographics by degree or urbanization? Do faculty demographics track or diverge
from student demographics? Are
adequate faculty role models provided to attract and retain minority students?
Primary revenue
streams of student tuition, ad valorem property taxes, and state funding
should be examined in relation to student ethnicity and institutional
degree of urbanization. Do
differences exist between and among primary revenue streams in light of
student demographics and the institutional degree of urbanization?
Student enrollment patterns should be examined by
ethnicity and by the degree of institutional urbanization. Are minority students more likely to
enroll on a part-time or full-time basis?
Do these enrollment patterns differ between and among the four
major classifications of urbanization?
Additional areas of research are also suggested in regard
to all two-year degree granting institutions whether public or not. Questions arise as to the status of the
private educational sector. The
following studies are suggested.
1.
Student demographics
of gender and ethnicity should be examined for public as well as private
institutions. Do differences exist
between and among public, private-not-for-profit, and private-for-profit
two-year degree granting colleges? Do
private-not-for-profit colleges experience shifts in student demographics based
on the institutional degree of urbanization?
Do student demographics at private-for-profit institutions parallel
their public and private-not-for-profit counterparts based on the institutional
degree of urbanization?
2.
Faculty demographics should be reviewed against
the degree of urbanization of the indicated classifications of
institutions. Do differences exist in
faculty demographics by degree or urbanization?
Are adequate role models provided?
Do faculty demographics track or diverge from student demographics?
3.
Student enrollment patterns should be examined
in light of gender, ethnicity, and degree of urbanization for
private-not-for-profit and private-for-profit two-year, degree-granting
colleges. Do these demographics differ
from those of public institutions?
REFERENCES
Beekhoven, S., De
Jong, U., & Van Hout, H. (2004). The dynamics of ethnic identity and
student life.
Higher Education in Europe, 26(1), 47 – 65.
Bolman, L. &
Deal, T. (1995). Leading with soul: An
uncommon journey of spirit. Berkeley,
CA: Jossey-Bass.
California Postsecondary Education
Commission. (2006). Challenges and solutions regarding community college
service in rural and remote areas: A progress report.
Commission Report 06, 15.
Chen, D. (2007).
Dissertation research on international
education at American community colleges. Unpublished doctoral
dissertation, University of North Texas, Denton.
Cole, B.,
Matheson, K., & Anisman, H. (2007). The moderating role of ethnic identity
and social support on relations between well-being and academic performance.
Journal of Applied Sociology, 37(3), 592
– 615.
Fischer, M. J.
(2007). Settling into campus life: Differences by race/ethnicity in college
involvement and outcomes.
The Journal of
Higher Education, 78(2), 125 – 161.
Honeyman, D. S.
& Sullivan, M. D. (2006). Recreating America’s
community colleges: Critical policy issues facing America’s community colleges.
Community College Journal of Research and
Practice, 30, 177 – 82.
Hodgkinson, H. (2003). Leaving too many children
behind. Washington, DC:
Institute of Educational Leadership.
Retrieved October 17, 2007, from
http://www.iel.org/pubs/manychildren.pdf.
Lyson, T. (2002). What does a school mean to a
community? Assessing the social and
economic benefits of schools to rural villages in New York.
Arlington, VA: National Science Foundation.
McHewitt, E.
(1993). Graduation rate differences within the VCCS, August 1993. Richmond,
VA: Virginia State Department of
Community Colleges.
Pennington, K.
Williams, M., & Karvonen, M.(2006). Challenges facing rural community
colleges: Issues and problems today and
over the past 30 years.
Community College
Journal of Research and Practice, 30(8), 641 – 655.
Stratton, L.S., O’Toole, D. M., & Wetzel, J. N. (2007).
Are the factors affecting dropout
behavior related to initial
enrollment intensity for college undergraduates?
Research in Higher Education, 48(4), 453 – 485.
Waller, R.,
Flannery, J., Adams, K., Bowen, S., Norvell, K., Sherman, S., Watt, J., &
Waller, S. (2007). Texas
community college funding: Non-metropolitan and metropolitan ad valorem tax
rates and revenue.
Community College
Journal of Research and Practice, 31(7), 563-573.
Washington State
Board for Community and Technical
Colleges (2005). Access
and success for system goals for people of color in Washington community and technical colleges:
Progress report. Retrieved December 7,
2007 from http://www.sbctc.ctc.edu/college/d_studentsofcolor.aspx
Appendix 1
Demographic
Percentage of Enrollment for Public Two-Year, Degree-Granting Community
Colleges
Demographic
Classification
N
Mean
Std. Deviation
Minimum
Maximum
Male
City
306
41.3%
8.1%
12.6%
90.4%
Suburban
186
41.9%
7.0%
24.7%
72.9%
Town
248
40.5%
9.9%
20.8%
84.3%
Rural
303
39.5%
9.7%
19.3%
89.8%
Total
1,043
40.7%
8.9%
12.6%
90.4%
Female
City
306
58.7%
8.1%
9.6%
87.4%
Suburban
186
58.1%
7.0%
27.1%
75.3%
Town
248
59.5%
9.9%
15.7%
79.2%
Rural
303
60.5%
9.7%
10.2%
80.7%
Total
1,043
59.3%
8.9%
9.6%
87.4%
White
City
306
55.5%
25.1%
0.0%
95.8%
Non-Hispanic
Suburban
186
60.8%
22.8%
0.0%
95.5%
Town
248
73.6%
20.3%
0.0%
98.6%
Rural
303
69.3%
23.0%
0.6%
99.2%
Total
1,043
64.8%
21.1%
0.0%
99.2%
Black
City
306
16.3%
17.8%
0.0%
94.6%
Non-Hispanic
Suburban
186
12.8%
14.1%
0.0%
77.6%
Town
248
10.9%
14.6%
0.0%
92.8%
Rural
303
13.7%
17.2%
0.0%
95.1%
Total
1,043
13.6%
16.4%
0.0%
95.1%
Hispanic
City
306
14.2%
18.1%
0.0%
100.0%
Suburban
186
11.9%
15.9%
0.0%
100.0%
Town
248
6.3%
11.3%
0.0%
82.7%
Rural
303
5.1%
10.0%
0.0%
86.9%
Total
1,043
9.3%
14.8%
0.0%
100.0%
Asian/
City
306
6.0%
10.6%
0.0%
100.0%
Pacific
Islander
Suburban
186
6.3%
9.7%
0.0%
77.1%
Town
248
2.1%
9.8%
0.0%
100.0%
Rural
303
1.8%
5.5%
0.0%
67.0%
Total
1,043
3.9%
9.25
0.0%
100.0%
Native
American
City
306
1.2%
5.8%
0.0%
100.0%
Native
Alaskan
Suburban
186
0.7%
0.8%
0.0%
9.7%
Town
248
3.1%
10.3%
0.0%
90.6%
Rural
303
6.2%
19.5%
0.0%
99.1%
Total
1,043
3.0%
12.3%
0.0%
100.0%
Appendix 1 Continued
Demographic
Percentage of Enrollment for Public Two-Year, Degree-Granting Community
Colleges
Demographic
Classification
N
Mean
Std. Deviation
Minimum
Maximum
Unknown
City
306
5.5%
6.1%
0.0%
40.4%
Suburban
186
6.2%
8.6%
0.0%
100.0%
Town
248
3.5%
5.5%
0.0%
35.0%
Rural
303
3.5%
5.9%
0.0%
60.2%
Total
1,043
4.6%
6.5%
0.0%
100.0%
Non-Resident
City
306
1.3%
2.3%
0.0%
15.2%
Alien
Suburban
186
1.2%
1.7%
0.0%
8.9%
Town
248
0.5%
1.2%
0.0%
14.1%
Rural
303
0.4%
0.8%
0.0%
7.6%
Total
1,043
0.8%
1.7%
0.0%
15.2%
Appendix 2
ANOVA for
Demographic Percentage of Enrollment for Public Two-Year, Degree-Granting Community
Colleges
Demographic
Classification
Sum of Squares
df
Mean Squares
F
Sig.
Gender
Between
Groups
0.083
3
0.028
3.492
.015
Within
Groups
8.197
1039
0.008
Total
8.280
1042
White
Between
Groups
5.461
3
1.820
34.325
.001
Non-Hispanic
Within
Groups
55.101
1039
0.053
Total
60.562
1042
Black
Between
Groups
0.405
3
0.135
5.089
.002
Non-Hispanic
Within
Groups
27.589
1039
0.027
Total
27.994
1042
Hispanic
Between
Groups
1.625
3
0.542
26.510
.001
Within
Groups
21.233
1039
0.020
Total
22.858
1042
Asian
Between
Groups
0.449
3
0.150
18.408
.001
Pacific
Islander
Within
Groups
8.454
1039
0.008
Total
8.903
1042
Native
American
Between
Groups
0.510
3
0.170
11.637
.001
Native
Alaskan
Within
Groups
15.166
1039
0.015
Total
15.675
1042
Unknown
Between
Groups
0.145
3
0.048
11.670
.001
Within
Groups
4.304
1039
0.004
Total
4.449
1042
Non-Resident
Between
Groups
0.017
3
0.006
21.314
.001
Alien
Within
Groups
0.272
1039
0.001
Total
0.288
1042
Appendix 3
Post Hoc Analysis
for Demographic Percentage of Enrollment for Public Two-Year, Degree-Granting Community
Colleges
Demographic
Classification
Classification
Mean
Difference
Std.
Error
Significance
Gender
City
Suburban
-0.006
0.007
.929
Town
0.008
0.008
.915
Rural
0.018
0.007
.082
Suburban
City
0.006
0.007
.929
Town
0.014
0.008
.423
Rural
0.024
0.008
.009
Town
City
-0.008
0.008
.915
Suburban
-0.014
0.008
.423
Rural
0.010
0.008
.773
Rural
City
-0.018
0.007
.082
Suburban
-0.024
0.008
.009
Town
-0.010
0.008
.773
White
City
Suburban
-0.053
0.022
.095
Non-Hispanic
Town
-0.181
0.019
.001
Rural
-0.138
0.020
.001
Suburban
City
0.053
0.022
.095
Town
-0.128
0.021
.001
Rural
-0.085
0.021
.001
Town
City
0.181
0.019
.001
Suburban
0.128
0.021
.001
Rural
0.043
0.018
.120
Rural
City
0.138
0.020
.001
Suburban
0.085
0.021
.001
Town
-0.043
0.018
.120
Black
City
Suburban
0.034
0.015
.107
Non-Hispanic
Town
0.053
0.014
.001
Rural
0.026
0.014
.333
Suburban
City
-0.034
0.015
.107
Town
0.019
0.014
.671
Rural
-0.008
0.014
.994
Town
City
-0.053
0.014
.001
Suburban
-0.019
0.014
.671
Rural
-0.027
0.014
.243
Rural
City
-0.026
0.014
.333
Suburban
0.008
0.014
.994
Town
0.027
0.014
.243
Appendix 3 Continued
Post Hoc Analysis
for Demographic Percentage of Enrollment for Public Two-Year, Degree-Granting Community
Colleges
Demographic
Classification
Classification
Mean
Difference
Std.
Error
Significance
Hispanic
City
Suburban
0.023
0.016
.589
Town
0.079
0.013
.001
Rural
0.091
0.012
.001
Suburban
City
-0.023
0.016
.589
Town
0.056
0.014
.001
Rural
0.068
0.013
.001
Town
City
-0.079
0.013
.001
Suburban
-0.056
0.014
.001
Rural
0.012
0.009
.747
Rural
City
-0.091
0.012
.001
Suburban
-0.068
0.013
.001
Town
-0.012
0.009
.747
Asian
City
Suburban
-0.004
0.010
.999
Pacific
Islander
Town
0.039
.0009
.001
Rural
0.041
0.007
.001
Suburban
City
0.004
0.010
.999
Town
0.042
0.009
.001
Rural
0.045
0.008
.001
Town
City
-0.039
0.009
.001
Suburban
-0.042
0.009
.001
Rural
0.003
0.007
.999
Rural
City
-0.041
0.007
.001
Suburban
-0.045
0.008
.001
Town
-0.003
0.007
.999
Native
City
Suburban
0.006
0.003
.455
American
Town
-0.019
0.007
0.68
Native
Rural
-0.050
0.012
.001
Alaskan
Suburban
City
-0.006
0.003
.455
Town
-0.024
0.007
.002
Rural
-0.055
0.011
.001
Town
City
0.019
0.007
.068
Suburban
0.024
0.007
.002
Rural
-0.031
0.013
.094
Rural
City
0.050
0.012
.001
Suburban
0.055
0.011
.001
Town
0.032
0.013
.094
Appendix 3 Continued
Post Hoc Analysis
for Demographic Percentage of Enrollment for Public Two-Year, Degree-Granting Community
Colleges