schooling influences on aspirations of rural youth judith l. meece, unc-ch presenter
TRANSCRIPT
Schooling Influences on Aspirations of Rural Youth
Judith L. Meece, UNC-CHPresenter
Special Acknowledgements
Matthew Irvin, InvestigatorSoo-yong Byun, Postdoctoral Scholar
Thomas W. Farmer, InvestigatorBryan Hutchins, Project Coordinator
Kim Dadisman, InvestigatorDylan Robertson, Investigator
Laura Shaffer, Program AssistantPaul Wilson, Program Assistant
Background of Study
• High school reform is currently a national priority;• Numerous national reports over the last decades
have documented the negative impact of high schools on adolescents’ development and transition to adulthood;
• Most research has focused on urban schools (e.g., NRC & Institute of Medicine, 2004).
• Few studies have studied the impact of high schools in rural communities.
What is Known about High Schools in Rural Communities?
Unique Assets of Rural High Schools:– Close community-school relations;– Curricular tracking less prevalent– Close Supportive student-teacher relations;– Small size
• Greater participation in extracurricular activities;• Greater sense of belonging;• Stable peer relations;• Higher satisfaction with school• Lower drug and alcohol use.
Sources: Coladarci, 2007; Hardre & Sullivan, 2008; Kannapel & DeYoung, 1999; Gandara, Gutierrez, & O’Hara, 2001; Scafft, Alter, & Bridger, 2006.
What is Known about Rural High Schools?
Unique Challenges of Rural Schools– Geographical isolation– Poverty rates– Limited resources for address diverse needs– Limited curricular options– Recruitment & retention of high quality teachers– Limited employment opportunities in community– High rates of school dropout in impoverished rural
communities
Sources: Farmer, 2006; Friedman & Lichter, 1998; Khattri, Riley, & Kane, 1997; Provasnick et al., 2007; Monk, 2007; Johnson & Strange, 2007
Aims of Current Study
• Examine levels of rural youths’ educational and vocational aspirations for the future;
• Describe involvement of youth in postsecondary transition activities;
• Examine relations of youths’ schooling experiences to educational and vocational aspirations.
Focus of Study
Focus of study is on school-related predictors of school engagement, motivation, aspirations for the future.
“Motivation is essential at all ages, but it becomes pivotal at adolescent as youth approach the threshold of adulthood” (NRC & Institute of Medicine, 2004).
Adolescents who view themselves as smart and capable and recognize the value of their school experiences for future are likely to have high postsecondary school aspirations (Hardre & Sullivan, 2008)
Aspirations serve as goals for the future that help to organize, direct, and guide behavior (Bandura, 1986)
Defining Aspirations• Some research refer to aspirations as a goal the adolescent hopes or
desires to attain (e.g., Wilson, Peterson, & Wilson, 1993);
• Other research refer to aspirations as a goal the adolescent expects to attain (e.g., Bandura et al., 2001);
• When the two response forms are compared, adolescents tend to have lower expectations than aspirations (Howley, 2006; Majoribanks, 1998);
• To date, there is limited information about the long-term predictive value of survey questions focused on future aspirations vs. expectations.
Prior Research on Aspirations of Rural Youth
• Rural youth tend to have lower educational and occupational aspirations than urban youth;
• Rural youth has have lower levels of educational attainment than urban youth;
• Differences attributed to lack of local employment opportunities, parental expectations, ethnicity, gender, family income, academic preparation, and residential preferences.
Sources: Blackwell & McLaughlin, 1999; Cobb, McIntire, & Pratt, 1989; Haller & Vickler, 1993; Howley, 1997; Kannapel & DeYoung, 1999; Rojewski,1999; Roscigno & Crowley, 2001
Rural HSA School Sample
School Type
Number ofSchools
SchoolSize
PovertyStatus
MinorityPercent
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%
Rural HSA Student SampleN = 8754
– Grade levels included• 28% 9th graders• 27% 10th graders• 25% 11th graders• 19% 12th graders
– 51% female and 49% male students– 11% of sample identified as receiving
special services by their teachers
Rural HSA Student SampleN = 8754
-Ethnic Background:
• 64% White; 11% Hispanic• 12% Multiracial; 7% African American• 4% American Indian
-Parental Education:• 30% some PSE or 2-year degree• 14% 4-year degree; 12% advanced degree• 21% HS or GED degree
-Less than 10% of students reported family economic hardship a lot or all of the time
Measures
• Student Outcome Measures
– Educational Aspirations• How far in school would you most like to go?
– Vocational Aspirations• Do you plan to work or have a career at age 30?• If yes, what kind of job or occupation would you
most like to have?
Student Measures
Student Background Variables (self-reports)– Gender– Ethnic Background– Economic Hardship– Level of Parental Education – Parental Educational Expectation– Grade Level
Student Measures
• School-Related Influences– High School Program– Grade Retention– Perceived Emphasis on Place-Based Education– Teachers’ Educational and Vocational Expectations– School Belonging– Academic Self-Concept– School Valuing
Analysis Procedures:Educational Aspirations
• Descriptive Analyses
• Hierarchical Linear Modeling
• SEM Analyses
Educational Aspirations of Rural YouthTotals vs. Rural Remote
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0P
erc
en
t
Don't know High schoolor GED only
2 yearprogram or
degree
Graduatefrom 4 year
college
Advanceddegree
Total
Rural Remote
Required Educational Levels of Reported Career Choices : Total Sample vs. Rural Remote
0
10
20
30
40
50
60
70
80
Pe
rce
nt
Less than HighSchool
High School orsome College
College Degree Advanced Degree
Total
Rural Remote
High School Programs by Grade Level
0%
10%
20%
30%
40%
50%
60%
70%
80%
Per
cen
t
General High SchoolProgram
College prep, academic,or specialized academic
Vocations, technical, orbusiness and career
I don't know
Grade 9
Grade 10
Grade 11
Grade 12
010
2030
4050
6070
80
Per
cen
t
Talked with a guidancecounselor or other advisor
about college
Visited a college campus? Searched for collegecourses or programs
available by the internet
Talked with your parentsabout how to pay for
college
Never
Once or twice
3 to 5 times
4 More than 5 times
Postsecondary Education Exploration
Frequency of Career Exploration Activities
0
10
20
30
40
50
60
70
80
Per
cen
t
Internship Job Mentoring Job Shadowing School BasedEnterprise
CooperativeEducation
Never
Once or twice
3 to 5 times
4 More than 5 times
Schooling Influences onEducational Aspirations
• Previous research has treated educational aspirations as continuous and categorical variable;
• For HLM analyses converted educational aspirations into years of schooling (e.g., 16 = 4-year college);
• Results of HLM analyses indicate that approximately 3% of the variance was between school.
School Belonging
School Valuing
Educational Aspirations
Academic Self-Concept
Place-Based Education
HS Program
Grade Retention
Teacher’s Educational Expectations
Gender (female)
Race (white)
Grade
Mediation Model of School Influences on Educational Aspirations
Economic Hardship
Proximal Variables
Control Variables
Distal Variables
School Belonging
School Valuing
Educational Aspiration
Academic Self-Concept
Place-Based Education
HS Program
Retention
Teacher’s Educational Expectations
Gender (female)
Race (white)
Grade
Mediation Model of School Influences on Educational Aspirations
Explained variance (R2) .26
Model fit summaryNFI: .825CFI: .831RMSEA: .054
.420
.236
.415
.284
.072
.095
-.074
.233 .230
.115
-.049-.069
.235
.064 -.049
Economic Hardship
-.027
Distal Variables
Control Variables
Proximal Variables
School Belonging
School Valuing
Educational Aspiration
Academic Self-Concept
Place-Based Education
HS Program
Retention
Teacher’s Educational Expectations
Gender (female)
Race (white)
Grade
Mediation Model of School Influences on Educational Aspirations
Explained variance (R2) .26
Model fit summaryNFI: .825CFI: .831RMSEA: .054
.420
.236
.415
.284
.072
.095
-.074
.233 .230
.115
-.049-.069
.235
.064 -.049
Economic Hardship
-.027
Distal Variables
Control Variables
Proximal Variables
School Belonging
School Valuing
Educational Aspiration
Academic Self-Concept
Place-Based Education
HS Program
Retention
Teacher’s Educational Expectations
Gender (female)
Race (white)
Grade
Mediation Model of School Influences on Educational Aspirations
Explained variance (R2) .26
Model fit summaryNFI: .825CFI: .831RMSEA: .054
.420
.236
.415
.284
.072
.095
-.074
.233 .230
.115
-.049-.069
.235
.064 -.049
Economic Hardship
-.027
Distal Variables
Control Variables
Proximal Variables
Conclusions:Educational Aspirations
• Approximately 77% of rural youth aspire to complete a college or advanced professional degree;
• Aspirations for college are equivalent with other national studies (NCES, 2004);
• ELS: 2002 data reveal differences in urban and rural samples for advanced degrees only (NCES, 2004)
• Most of the variation in educational aspirations occurs within school rather than between school.
Conclusions:Transition Preparation
Given students relatively high educational aspirations, postsecondary preparation activities were limited for the sample as whole:
• Approximately 20% of 11th and 12th grade students reported they were enrolled in a some type of college preparatory course.
• National studies indicate that rural youth are less likely to have access to advanced high school courses than urban youth (Planty et al., 2007).
• Participation in traditional postsecondary transition activities (college visits, talking with counselors about college, job mentoring, job shadowing, etc.) was also limited for the RHSA sample as a whole.
Conclusions:Schooling Experiences
• Educational Aspirations strongly related to malleable aspects of the school environment:– Teacher expectations– School belonging– Curriculum relevance– Academic self-concept– School valuing beliefs
Limitations of Study
• Aspirations measured at one point in time;• Lack of information of goal attainment• Aspirations vary by gender, ethnicity, and perceived economic
hardship; the moderating influence of student characteristics on school influences will be examined in future analyses
• Not a longitudinal study; therefore no causal conclusions can be drawn from the regression analyses presented.
• Schooling model presented explained approximately 25% of the variance in students’ educational aspirations, even with parental and student background variables included.