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From Adolescence to Early Adulthood: A Case
Study of
Gendered Trajectories through School in India
Uma Vennam Anuradha Komanduri Jen Roest
Young Lives – India and Oxford
Adolescence, Youth and Gender conference
Oxford, 8-9 September 2016
Overview
• The Study
• Young Lives Sample
• Survey Statistics
• Qualitative data
• Factors Influencing Trajectories
• Case Studies
• Conclusion
The Study
• Looks at the educational pathways of adolescent boys and girls
in Andhra Pradesh and Telangana
-when gender inequality begins
-whether gender disparities persist
-impact of gendered norms on children’s trajectories
• Uses longitudinal qualitative data and descriptive survey
statistics
• Adopts a case study approach to explore intersecting factors at
individual, household and community level that explain
changing trajectories over time.
Young Lives Sample
AGES: 1 5 8 12 15
YOUNGERCOHORT
Following 2,000 children
OLDERCOHORT
Following 1,000 children
AGES: 8 12 15 19 22
Round 1 Round 2 Round 3 Round 4 Round 5
2002 2006 2009 2013 2016
Same age children at
different time points
Qualitative nested sample
1 2 3 4
Linked
school surveys
Young Lives Sample: India
Quantitative - 20 sites = 3,000 children
1000 Older Cohort; 2000 Younger Cohort
Older Cohort Round 4: 952; 465 Male 487 Female
Qualitative - 4 sites ; 48 of these children
for in-depth case studies
Qual4 : 23; 11Female; 12 Male
Sub-SampleSub-Sample and Methodsand Methods
• 4 Sites – 1Urban, 2Rural
1Tribal
• 48 Children – 24 Boys
and 24 Girls
• Individual interviews
with children, care givers
and service providers
• Group-based methods
• School and Home
Observation
Status at R4 : Education and Work
Status at
19
Male% Female% Total %
Only Studying 33.76 33.06 33.40
Study and
Work
22.80 7.80 15.13
Only Work 39.79 32.03 35.82
Neither Work
nor Study
3.66 27.10 15.65
Current educational level
enrolled
Male
No.
Male
%
Female
No.
Femal
e
%
Total
No.
Total
%
Not enrolled 202 43.44 288 59.14 490 51.47
Secondary 2 0.43 2 0.41 4 0.42
Higher Secondary 58 12.47 24 4.93 82 8.61
Post-Secondary/Vocational 48 10.32 24 4.93 72 7.56
University 155 33.33 149 30.6 304 31.93
Total 465 100 487 100 952 100
Level of Education
Schooling Schooling
&Work
Dropout-
Fulltime
Work
Dropout-
Marriage-
Parenthoo
d
Schooling
&
Marriage
Male 3 2 6 1
Female 3 2 1 4 1
Status : Qual Sample
Factors Influencing Trajectories
• Individual : Aspirations and Ambitions
• Household : Parental Aspirations, Support, Economic factors,
• Community : Norms; Birth order
• Social Protection : Government and NGO support
Various Factors Intersect: Always a combination of factors
Factors Influencing Trajectories
• Gender : More Girls than Boys drop out: get married early
• Family Wealth Index : Poorer Terciles – Boys into Fulltime
Work; Girls Marriage
• Location: Influences Educational status of young people:
Variation between those in fulltime education – Urban 48.94%
Rural 26.77%
• Managing education and work 7.74% of the urban sample does
both and 18.35% in the rural sample.
• In the category of managing education and work : engaging in
unpaid work more in rural areas (11.28%)- more girls- urban
areas (2.11%)
• Caste: Other castes more likely to be enrolled in fulltime
education (51%) Scheduled Castes (29.9) Scheduled Tribes 30%
and Backward Castes (27%)
Factors Influencing Trajectories : Case
Studies
• Early Drop Out-Early Work- Early Marriage – Distance to School-
Safety and Security : Latha and Bhavana
• Parental Education and Aspirations for Children: Vinay,
Santhi, Keerthi
• Family Circumstances : Father’s Death (Salman) Mother’s
Illhealth (Ameena) Indebtedness (Ravi)
• Community Norms : Harika
Summary
• Persisting Gender Gaps : Need More Focus
• Fewer Girls into Vocational Education
• Impact of MIgration
• Early School drop outs –early marriage
• Unpaid HH/Farm Work- Low Attendance-School Drop-Early
Marriage
• Residential schools facilitate continuation in school-Delay
marriage
www.younglives.org.uk
@YLOxford
•methodology and research papers
•child profiles and photos
•e-newsletter
•datasets (UK Data Archive)
FINDING OUT MORE

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Vennam presentation-8 sep2016

  • 1. From Adolescence to Early Adulthood: A Case Study of Gendered Trajectories through School in India Uma Vennam Anuradha Komanduri Jen Roest Young Lives – India and Oxford Adolescence, Youth and Gender conference Oxford, 8-9 September 2016
  • 2. Overview • The Study • Young Lives Sample • Survey Statistics • Qualitative data • Factors Influencing Trajectories • Case Studies • Conclusion
  • 3. The Study • Looks at the educational pathways of adolescent boys and girls in Andhra Pradesh and Telangana -when gender inequality begins -whether gender disparities persist -impact of gendered norms on children’s trajectories • Uses longitudinal qualitative data and descriptive survey statistics • Adopts a case study approach to explore intersecting factors at individual, household and community level that explain changing trajectories over time.
  • 4. Young Lives Sample AGES: 1 5 8 12 15 YOUNGERCOHORT Following 2,000 children OLDERCOHORT Following 1,000 children AGES: 8 12 15 19 22 Round 1 Round 2 Round 3 Round 4 Round 5 2002 2006 2009 2013 2016 Same age children at different time points Qualitative nested sample 1 2 3 4 Linked school surveys
  • 5. Young Lives Sample: India Quantitative - 20 sites = 3,000 children 1000 Older Cohort; 2000 Younger Cohort Older Cohort Round 4: 952; 465 Male 487 Female Qualitative - 4 sites ; 48 of these children for in-depth case studies Qual4 : 23; 11Female; 12 Male
  • 6. Sub-SampleSub-Sample and Methodsand Methods • 4 Sites – 1Urban, 2Rural 1Tribal • 48 Children – 24 Boys and 24 Girls • Individual interviews with children, care givers and service providers • Group-based methods • School and Home Observation
  • 7. Status at R4 : Education and Work Status at 19 Male% Female% Total % Only Studying 33.76 33.06 33.40 Study and Work 22.80 7.80 15.13 Only Work 39.79 32.03 35.82 Neither Work nor Study 3.66 27.10 15.65
  • 8. Current educational level enrolled Male No. Male % Female No. Femal e % Total No. Total % Not enrolled 202 43.44 288 59.14 490 51.47 Secondary 2 0.43 2 0.41 4 0.42 Higher Secondary 58 12.47 24 4.93 82 8.61 Post-Secondary/Vocational 48 10.32 24 4.93 72 7.56 University 155 33.33 149 30.6 304 31.93 Total 465 100 487 100 952 100 Level of Education
  • 10. Factors Influencing Trajectories • Individual : Aspirations and Ambitions • Household : Parental Aspirations, Support, Economic factors, • Community : Norms; Birth order • Social Protection : Government and NGO support Various Factors Intersect: Always a combination of factors
  • 11. Factors Influencing Trajectories • Gender : More Girls than Boys drop out: get married early • Family Wealth Index : Poorer Terciles – Boys into Fulltime Work; Girls Marriage • Location: Influences Educational status of young people: Variation between those in fulltime education – Urban 48.94% Rural 26.77% • Managing education and work 7.74% of the urban sample does both and 18.35% in the rural sample. • In the category of managing education and work : engaging in unpaid work more in rural areas (11.28%)- more girls- urban areas (2.11%) • Caste: Other castes more likely to be enrolled in fulltime education (51%) Scheduled Castes (29.9) Scheduled Tribes 30% and Backward Castes (27%)
  • 12. Factors Influencing Trajectories : Case Studies • Early Drop Out-Early Work- Early Marriage – Distance to School- Safety and Security : Latha and Bhavana • Parental Education and Aspirations for Children: Vinay, Santhi, Keerthi • Family Circumstances : Father’s Death (Salman) Mother’s Illhealth (Ameena) Indebtedness (Ravi) • Community Norms : Harika
  • 13. Summary • Persisting Gender Gaps : Need More Focus • Fewer Girls into Vocational Education • Impact of MIgration • Early School drop outs –early marriage • Unpaid HH/Farm Work- Low Attendance-School Drop-Early Marriage • Residential schools facilitate continuation in school-Delay marriage
  • 14. www.younglives.org.uk @YLOxford •methodology and research papers •child profiles and photos •e-newsletter •datasets (UK Data Archive) FINDING OUT MORE