Title: Addressing Diversity in Rural Education
1Overview of Rural High SchoolAspirations Study
Judith L. Meece, UNC-CH Matthew Irvin,
UNC-CH Robert Petrin, Penn State Univ. Kai
Schafft, Penn State Univ.
U.S. Department of Education, Institute of
Educational Sciences Research and Development
Center Grant R305A040056-06
2Collaborators
Thomas W. Farmer, Co-Principal Investigator Soo-yo
ng Byun, Postdoctoral Scholar Bryan Hutchins,
Research Associate Kimberly Dadisman,
Investigator Dylan Robertson, Investigator Glen
Elder, Investigator Vonnie McLoyd, Investigator
3Objectives of Overview
- Describe aims and design of Rural HSA Project
- Present information on rural youths adult
aspirations - Present information on educational barriers of
rural youth - Present information on influence of community
- context on youths future aspirations
- Discuss the implications of the research for
school - programs and school-community relations.
-
4Aims of Rural HSA Study
- To generate new information about rural high
school students educational, vocational, and
residential plans and aspirations for the future - To assess rural high school students preparatory
activities and planning for postsecondary
education, work, and adult life - To examine the impact of school experiences,
geographical location, economic status, cultural
or ethnic origins, family background, peer
relations, and community characteristics on rural
students aspirations and preparatory activities. -
5Giving a Voice to Rural Schools
- A lot of our students dont think they have a
future. Its hard to motivate them. - (School Guidance Counselor)
- We moved to a rural community to escape city
schools. There is a lot that city schools can
learn from rural schools. - (Parent of Participant)
- I plan to be a millionaire and to be very
successful. Thank you for coming to our school.
(High School Student) -
6Design of RHSA Study
7Rural HSA Sample Selection
- Sampling frame was 101,104 public schools in
- the 2004-05 Common Core of Data
- Schools with one or more students in 9th grade
- or above were included
- Schools were classified according to
- subtypes based on locale designations
- (6, 7, 8, 43), and eligibility for Rural
Education - Achievement Programs (RLIS SRSA)
- Sample currently includes 73 randomly selected
- schools across these school types.
- Focus groups in 12 randomly selected school
sites.
8Rural High School Aspiration Sitesby Type of
School
9Rural HSA Sample
School Type Number of Schools School Size Poverty Status Minority Percent
Rural Remote 43 32 - 418 0 - 99 0 - 95
Rural Distant 19 81 - 661 18 - 82 1 - 99
Rural Fringe 3 123 - 400 31 - 81 3 - 85
Small Town 8 165 - 1883 16 - 51 1 - 56
10Rural Education Achievement Programs
School Type RLIS SRSA
Rural Remote 7 15
Rural Distant 8 5
Rural Fringe 1 1
Small Town 3 1
Total 19 22
11Rural HSA Measures Students
- Demographic characteristics
- Educational and vocational expectations
- Perceived educational and vocational barriers
- Family background characteristics
- School engagement, connection, and participation
- Peer and friend networks
- Self-reported academic achievement, efficacy, and
values - Postsecondary preparation activities from school,
family, and community resources
12Rural HSA Measures Parents Teachers
- Items paralleled student survey with regards to
- Educational vocational expectations for
individual students in the sample - Perceived barriers for educational and vocational
plans for individual students in the sample - Behavioral and academic characteristics for
individual students in the sample - Perceptions of academic preparation, school
climate - Background information on parents and teachers
13Rural HSA MeasuresAdministrator Survey
- Teacher quality
- Residence
- Class size
- Programs available
- High school transitions programs
- Strengths of schools and community
- Challenges of schools and community
- Employment opportunities in community
14Aspiration Questions
- Educational Aspirations
- How far in school would you MOST like to go?
- Occupational Aspirations
- What type of job or occupation do you plan to
have right after high school? - At age 30, what kind of job or occupation would
you MOST like to have at age 30? - Residential Aspirations
- Where do you WANT to live when you are age 30?
15Educational Aspirations
16Educational Aspirations of Rural Youth Totals vs.
Rural Remote
17Where Do Rural Youth Plan To Attain Postsecondary
Education?
18SummaryRural Students Educational Plans
- Approximately 7 of youth reported that they were
unsure of their educational plans after high
school. - Only a small percent (6) of rural youth expected
to discontinue their education after high school. - Approximately 13 of rural youth expected to
attend and complete two years of postsecondary
education at a community college or
vocational/trade school. - Approximately 77 of rural youth plan to complete
college or an advanced graduate or professional
degree. - Educational plans of youth in Rural Remote
locations were comparable to other rural youth in
the RHSA sample.
19Future Vocational Aspirations
20Vocational Aspirations (at age 30) of Rural Youth
Total vs. Rural Remote
Total Total Rural Remote Rural Remote
N N
Professional 3,520 51.3 1,438 48.8
Education (School teacher) 477 6.9 216 7.3
Technical 376 5.5 157 5.3
Manager 134 2 55 1.9
Proprietor 123 1.8 48 1.6
Sales 53 0.8 21 0.7
Clerical 22 0.3 7 0.2
Craftsman 99 1.4 40 1.4
Farmer 132 1.9 79 2.7
Military 147 2.1 61 2.1
Protective Service 293 4.3 119 4
Homemaker 7 0.1 4 0.1
Service 546 8 250 8.5
Operative 159 2.3 64 2.2
Laborer 501 7.3 252 8.5
Don't know 272 4 134 4.5
No, None, Retired 5 0.1 3 0.1
Total 6,866 100 2,948 100
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22Required Educational Levels of Rural YouthTotal
vs. Rural Remote
23Summary Rural Students Vocational Plans
- Approximately 13 of rural students planned to
work in a full-time job right after high school
(work-bound) only 16 of these students knew the
type of job they planned to pursue. - Only 9 of rural students thought they would have
the same job or career as a family member. - By age 30, 90 of rural students planned to work
or to have a career. - Nearly 50 of rural youth aspired to careers in
healthcare, education, and technical fields.
24Future Residential Plans
25Residential Aspirations (at age 30) of Rural Youth
Same State (54)
Another State (41)
26Conclusions
- A large percent of rural youth plan to pursue
professional careers that require a college
degree (38) or advanced degree (18). - Geographical isolation was not a strong predictor
of rural youths educational and vocational
plans. - Approximately one-third of sample were undecided
about their residential plans another 24 of the
sample planned to live in their own community or
another rural town or area. - The findings have important implications for
secondary educational programs to prepare rural
youth for their postsecondary transition to
adulthood. - The findings also have important implications for
rural communities if their youth leave to seek
educational and vocational opportunities
elsewhere and not return to their home
communities.
27Educational Barriers
28Theoretical Framework
- Social Cognitive Career Theory (SCCT)
postulates bidirectional relations between
cognitive-person (e.g., self-efficacy),
behavioral, and contextual variables. - SCCT initially posited recent work explicitly
integrated role of barriers
29Educational Barriers
- Studies have begun to demonstrate their
importance - perceived barriers predict career aspirations
outcome expectations - findings are mixed
- Educational barriers predict postsecondary
educational expectations among rural Appalachian
youth living in high poverty areas (Ali
McWhirter, 2006) - Barriers predictive of career outcome
expectations but not academic outcome
expectations among Midwestern rural youth
(Wettersten et al., 2005) -
30Need to Consider Educational Barriers
- Perceived barriers central to postsecondary
attainment as can prevent youth from pursuing
aspirations and interests - Identifying individual differences especially
important for youth that may encounter
difficulties in reaching postsecondary goals - found gender and ethnic differences
-
31Need to Consider Educational Barriers
- Little work has focused on rural youth or
involved limited samples of rural youth - Over 50 of U.S. districts and 10 million
students are rural - Less apt to complete college
- (Johnson Strange, 2007 Kusmin, 2007 Provasnik
et al., 2007)
32Purpose
- Describe educational barriers clarify
individual differences in perceived educational
barriers among diverse sample of rural youth -
33Student-Report Measure of Educational Barriers
- asked whether planning to continue his/her
education beyond high school (No, Yes, and
Not Sure) - if No asked how much each of several factors
have affected plan not to continue his/her
education beyond high school - if Yes or Not Sure asked how difficult (1
not at all to 7 very much) each of several
factors may make it to complete his/her
postsecondary education
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37Item Response Theory (IRT) Measurement Models
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39Rural High School StudentsPerceptions of Their
Local Economy and Economic Prospects
Robert A. Petrin Center for Education and
Development Science Pennsylvania State University
40Overview
- Part of our research has focused on what we have
been referring to as students perceptions of
community - Gauging students impressions of various aspects
of their rural communities (perceptions of
community) - Understanding how these perceptions are
associated with student life choices and plans
for the future - Understanding how these perceptions are
correlated with student, peer group, school, and
community characteristics
41Overview (Cont.)
- Today provide a sense of some of the directions
weve been taking with this research, and some
what weve been finding - Focus for this talk 6 Items from survey
pertaining to sense of local economy and economic
prospects
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43Overview (Cont.)
- In working with these items we draw upon various
methodologies to . . . - Aggregate student responses to make them more
analytically tractable, easier to use - Evaluate meaningful patterns of responses
- In particular, weve made extensive use of
- Factor Analysis()
- Latent Class Analysis
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45Overview (Cont.)
- In this case, the indicators are categorical, the
resulting CFA measures are interval-scaled - Can use resulting measures to make simple mean
comparisons, by selected outcomes and predictors
46Student Perceptions Vary By Locale Overall
Rural Remote Students Have The Least Robust
Outlook Regarding Economic Prospects
47Perceptions of Economic Conditions Matter Less
with Respect to Educational Aspirations than Do
Perceptions of Economic Prospects . . .
48Overall, Perceptions of Economic Conditions Have
a Stronger Association with Getting Away From
Area than Do Perceptions of Economic Prospects
49Additional Analyses
- We have also used regression-style analyses to
examine predictors of Economic Conditions,
Economic Prospects - Throughout our exploratory analyses (not shown),
we consistently found evidence that such
associations differed by gender - Therefore we modeled differences in predictive
relationships by gender
50Selected Findings
- In these gender-specific analyses we found . . .
- For Boys
- Self-reported academic program tends to play a
stronger role for boys than is case for girls - College Prep boys have a less robust sense of
economic prospects (vs. boys in General Program) - Voc/Tech/Ag boys have a more robust sense of
economic prospects (vs. boys in General Program)
51Selected Findings (Cont.)
- For Boys (Cont.)
- Preliminary analyses suggest that school
isolation plays a stronger role for boys than for
girls - Boys from more highly educated households have a
more favorable opinion of economic prospects
52Selected Findings (Cont.)
- For Girls
- Higher achieving girls have a more robust sense
of local economic conditions (but perhaps a less
robust sense of their own prospects) - There are statistically significant regional
effects on perceptions of local economic
conditions (all regions are more favorable
relative to North East)
53Selected Findings (Cont.)
- For Both Boys and Girls
- Students in higher grade levels tend to have a
less favorable sense of local economy - Students in poorer schools have less favorable
views of local economy, and a less favorable
views of their economic prospects
54Additional Analyses
- Latent Class Analyses
- Distinct typologies exist by gender
- Generally the structure of girls responses is
more complex than boys - Multilevel Analyses (i.e., HLM-type models)
- Provide a richer perspective on the unique
contribution of various community factors by
controlling for individual schools
idiosyncrasies