developing human capital in 15-year-olds from low s e s backgrounds
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Developing Human Capital in 15-Year-Olds from Low S E S Backgrounds. CESC-SSHRC Symposium 2006 Lucie DeBlois, Professor, Université Laval Michel Rousseau, Assistant Professor, Université de Moncton Li Zhu, Graduate Student, Université Laval. Outline of Presentation. - PowerPoint PPT PresentationTRANSCRIPT
Developing Human Capitalin 15-Year-Olds
from Low SES Backgrounds
Developing Human Capitalin 15-Year-Olds
from Low SES Backgrounds
CESC-SSHRC Symposium 2006
Lucie DeBlois, Professor, Université LavalMichel Rousseau, Assistant Professor, Université de MonctonLi Zhu, Graduate Student, Université Laval
Outline of PresentationOutline of Presentation
1. Reconceptualizing social capital to include the resiliency model
2. Methodology3. Results
1. Which family capital variables reduce the impact of socioeconomic inequalities?
2. Which components of school capital are most closely related to students’ human capital?
3. Which school capital variables reduce the impact of socioeconomic inequalities?
4. Which dimensions of social capital are most closely related to the development of students’ human capital?
5. What effect do social capital variables have on the link between SES and students’ human capital?
6. Do certain educational practices foster students’ success?
1. Reconceptualizing social capital to 1. Reconceptualizing social capital to include the resiliency modelinclude the resiliency model
1. Reconceptualizing social capital to 1. Reconceptualizing social capital to include the resiliency modelinclude the resiliency model
School human capital(professional development, climate,
professional engagement)
School human capital(professional development, climate,
professional engagement)
School financial capital(educational resources, infrastructure,
teacher shortage)
School financial capital(educational resources, infrastructure,
teacher shortage)
Family humancapital
(educational attainmentof father and mother)
Family humancapital
(educational attainmentof father and mother)
Human capital(reading success)
Human capital(reading success)
Financial capitalcommunity
Financial capitalcommunity
Child’s human capitalChild’s human capital
Family financialcapital (educationalresources, cultural
goods, level ofpossessions)
Family financialcapital (educationalresources, cultural
goods, level ofpossessions)Human capital
communityHuman capital
community Social capitalstructural (organization)normative (discipline)
dynamic (interactions, activities)dimension
Social capitalstructural (organization)normative (discipline)
dynamic (interactions, activities)dimension
2. Methodology2. Methodology
Database Program for International Student Assessment (PISA)
Students’ reading success = measurement of students’ human capital Using trends in PISA literacy scores
Level of disadvantage socioeconomic index derived from parents’ employment
Statistical analysis Significant at p < 0.05
3.1 Which family capital variables reduce the impact of socioeconomic inequalities?
3.1 Which family capital variables reduce the impact of socioeconomic inequalities?
Education resources available at home
Cultural goods at home
Level of possessions at home
Education resources available at home
Cultural goods at home
Level of possessions at home
Looking at the index of Looking at the index of family human capitalfamily human capital
Looking at the index of Looking at the index of family financial capitalfamily financial capital
Father’s educational attainment
Mother’s educational attainment
Father’s educational attainment
Mother’s educational attainment
3.1 Which family capital variables reduce the impact of socioeconomic inequalities?
3.1 Which family capital variables reduce the impact of socioeconomic inequalities?
Statistically significant variables having amoderating (indirect) effect on the link
between socioeconomic statusand students’ human capital
Statistically significant variables having amoderating (indirect) effect on the link
between socioeconomic statusand students’ human capital
Father’s educational attainment (beta = 0.103 p < 0.05)
Cultural goods at home (beta = 0.31 p < 0.05)
Level of possessions at home (beta = -0.020, p < 0.05)
Socioeconomic levelStudent’s human capital(reading success)
3.2 Which components of school capital are most closely related to students’ human capital?
3.2 Which components of school capital are most closely related to students’ human capital?
Professional development
Disruptive conduct
Teacher morale
Professional development
Disruptive conduct
Teacher morale
Material resources Educational resources Shortage of teachers
Material resources Educational resources Shortage of teachers
School human School human capitalcapital
School financial School financial capitalcapital
3.2 Which components of school capital are most closely related to students’ human capital?
3.2 Which components of school capital are most closely related to students’ human capital?
1% of variance explained by the following low-correlation variables Disruptive conduct (0.042) Teacher morale (0.049) Material resources (-0.022) Educational resources (-0.075) Shortage of teachers (-0.052)
Statistically significant variables having adirect effect on the link
between socioeconomic statusand students’ human capital
Statistically significant variables having adirect effect on the link
between socioeconomic statusand students’ human capital
3.2.1 Example of school human capital: Teacher morale3.2.1 Example of school human capital: Teacher morale
IndicatorsIndicators CorrelatioCorrelationn
The morale of teachers in the school is good
0.006
Teachers are excited to be working 0.026
Teachers are proud of the school 0.059
Teachers focus on school success 0.076
3.2.2 Example of school financial capital: Quality of educational resources3.2.2 Example of school financial capital: Quality of educational resources
IndicatorsIndicators CorrelatioCorrelationn
Shortage of educational materials -0.060
Shortage of computer resources -0.030
Lack of library resources -0.068
Lack of multimedia resources -0.057
Lack of laboratory equipment -0.067
Lack of access to the arts -0.064
3.3 Which school capital variables reduce the impact of socioeconomic inequalities?
3.3 Which school capital variables reduce the impact of socioeconomic inequalities?
Even though the correlations for someindicators are statistically significant,
none of the six variables being reviewedhas a moderating effect on the link
between socioeconomic statusand children’s human capital
Even though the correlations for someindicators are statistically significant,
none of the six variables being reviewedhas a moderating effect on the link
between socioeconomic statusand children’s human capital
3.4 Which dimensions of social capital are most closely related to the development of students’ human capital?
3.4 Which dimensions of social capital are most closely related to the development of students’ human capital?
Structural dimension Feeling of belonging (beta = -0.013)
Normative dimension Pressure to succeed (beta = -0.012)
Dynamic dimension Level of students’ cultural activities (beta = 0.042) Interactions between parents and children focusing on culture
(beta = 0.045) Interactions between parents and children focusing on friends
(beta = 0.013) Educational support from teachers (beta = 0.014) Student-teacher relations (beta = 0.022)
3.5 What effect do social capital variables have on the link between SES and students’ human capital?
3.5 What effect do social capital variables have on the link between SES and students’ human capital?
VariablesVariables BetaBetaStructural dimension
Family structure (one or two parents) .051
Sense of belonging to the school -.017
Normative dimension
Disciplinary climate in school -.076
Perceived pressure to succeed -.070
Dynamic dimension
Level of cultural activities the student is involved in .215
Parent-child interactions focusing on culture .159
Parent-child interactions focusing on friends .098
Educational support from family -.221
Educational support from teachers -.022
Student-teacher relations .117
The regression equation (multiple regression) predicts 16.8% of the variance in reading success. The moderating effect of certain variables is higher, i.e. they help more to limit the impact of SES differences on human capital development.
3.5 What effect do social capital variables have on the link between SES and students’ human capital?
Statistically significant variables with amoderating effect (indirect effect) on the link
between socioeconomic leveland students’ human capital
Statistically significant variables with amoderating effect (indirect effect) on the link
between socioeconomic leveland students’ human capital
Socioeconomic level Students’ human capital
Dynamic dimension• Students’ level of activity• Parent-child interactions focusing on culture• Educational support from the family• Student-teacher relations
3.5.1 Of the four PISA indicators, which are most closely linked with students’ human capital?
3.5.1 Of the four PISA indicators, which are most closely linked with students’ human capital?
IndicatorsIndicators CorrelatioCorrelationn
Political/social events 0.262
Books, films, television programs 0.215
Listening to classical music 0.034
Talking about problems at school 0.096
The cultural communication dimension is the factor most closely related with a child’s human capital, especially discussions on political and social events.
3.6 Do certain educational practices foster students’ success?
3.6 Do certain educational practices foster students’ success?
IndicatorsIndicators CorrelationCorrelation
Showing interest in student learning 0.046Giving students a chance to express their opinions 0.160
Helping students accomplish their work 0.016Continuing to help students until they understand 0.063
Doing a lot to help students 0.019
Helping students with their learning 0.051
ConclusionConclusion
1. Three of the six variables in the family capital study have a moderating effect on the link between socioeconomic status and the development of students’ human capital (father’s educational attainment, cultural goods at home and level of goods at home), which would help reduce socioeconomic inequalities.
2. None of the six variables in the school capital study had a moderating effect on the link between SES level and the development of students’ human capital.
3. Even though the majority of school capital variables have a significant regression weighting, the six school capital variables explain only 1% of the variance in students’ human capital. In addition, the low regression weightings suggest a limited direct link between social capital variables and the development of human capital.
Conclusion (cont’d)Conclusion (cont’d)
4. However, all of the variables involved in the three dimensions of social capital in the model help explain 16.8% of the variance in students’ human capital. The higher weightings of variables for the dynamic dimension indicate a larger moderating effect between socioeconomic status and the development of students’ human capital.
a) Of the four PISA indicators, cultural communication, involving discussions on political and social events, is most closely related to students’ human capital.
b) Of the six educational practices identified by PISA, although each one has a low significant effect, the indicator "gives students a chance to express their opinions" is dominant.
c) Despite the low correlation, the variable "Teachers promote school success" is the most closely associated with students’ human capital.
d) Despite the low correlation, four of the six variables related to the quality of educational resources are associated with students’ human capital.
Reading success – A concentric modelReading success – A concentric model
School financial capital
School human capital
Father’s educational attainment
Father’s educational attainment
Teacher morale
Teacher morale
Quality of educational resources
Quality of educational resources
• Structural dimension (sense of belonging, family structure)
• Normative dimension (perceived pressure to succeed,
disciplinary climate)• Dynamic dimension (activities,
interactions, and help from teachers)
• Structural dimension (sense of belonging, family structure)
• Normative dimension (perceived pressure to succeed,
disciplinary climate)• Dynamic dimension (activities,
interactions, and help from teachers)
Cultural goods, level of possessions at home
Cultural goods, level of possessions at home
Child’s human capitalReading success
Teachers promote school success
Teachers promote school successCultural
communicationTopics: social, political events,
books…)
Cultural communicationTopics: social, political events,
books…)
Especially abundant library resources and scientific
equipment
Especially abundant library resources and scientific
equipment
Family financial capital
Family human capital
Planned dissemination of resultsPlanned dissemination of results
Zang X., DeBlois L., Deniger M.A., Kamanzi C., Rousseau M. (submitted) Reconceptualisation de la notion de capital social et de résilience dans le contexte de l'éducation : une modélisation pour les élèves issus de milieux socio-économiques défavorisés : Revues des sciences de l’éducation (submitted)
DeBlois L., Hammond A. (in preparation) Comment l’école peut-elle se mettre au service des élèves socialement défavorisés?
DeBlois L., Nadeau J., Kamanzi C. (pending) Les enjeux familiaux et le développement du capital social chez l’élève
DeBlois L., Akoué M.C., Kamanzi C., (pending) Étude comparative internationale sur l’influence du niveau d’éducation des parents et le développement du capital social chez l’élève
DeBlois L., Power G., Rousseau M. (pending) Un modèle mis à l’épreuve.
Internet sites: CRIRES — www.ulaval.ca/crires CSQ — www.csq.qc.net/ QFPC — www.fcppq.qc.ca/presscommunique.html