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Using HBSC Data in Constructing a Well-Being Indicator

Benelux Seminar « Indicators of Child and Youth Well-Being: The Link between Knowledge, Policy and Practice ». Using HBSC Data in Constructing a Well-Being Indicator. Charles BERG. Outline. Introductory Remarks Alternatives and complements to quantitative indicator construction Practice

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Using HBSC Data in Constructing a Well-Being Indicator

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  1. Benelux Seminar « Indicators of Child and Youth Well-Being: The Link between Knowledge, Policy and Practice » Using HBSC Data in Constructing a Well-Being Indicator Charles BERG

  2. Outline • Introductory Remarks • Alternatives and complements to quantitative indicator construction • Practice • Concluding Remark charles.berg@uni.lu

  3. Introductory Remarks • The current multiple political framing of policy relevant youth research • Health/well-being as a complex category • Data and data sources used in the presentation • Objectives of presentation charles.berg@uni.lu

  4. The current multiple political framing of policy relevant youth research • International Reporting (UNICEF, OECD) • Little power, strong influence • The OMC (European Union) • Acquiring a greater understanding and knowledge of young people and their concerns is one of the priorities of youth policies at EU level • Memorandum van overeenstemming (BENELUX) • « hiertoe wordt nauw samengewerkt […] met jeugdkenntniscentra » • Luxembourg Youth Act 2008 (National, local) • A knowledge based youth policy development: Observatoire des jeunes, Rapport jeunesse, Plans communaux charles.berg@uni.lu

  5. Data and Data Sources DJAB Project (Ministery of Health, Ministerry of Education, Ministery of Family), Survey Data (Questionnaire, 536 Variables) • Data-Set 0:HBSC (Health Behaviour in Schoolaged Children) in Luxembourg Schools; n=7398 (1999) • Data-Set 1:Diekirch, military recruits and soldiers; n=311(2003-2004) • Data-Set 2:Esch, unemployed young people (in vocational training course); n=130 (2003-2004) • Data-Set 3:Dreiborn, young people in enforced residential care; n=24 (2003-2004) • Data-Set 4:Manternach, drug addicts in therapy; n=22 (2003-2004) charles.berg@uni.lu

  6. Cf. e.g.: Blaxter, Mildred (2004). Health. Cambridge: Polity. Health/Wellbeing as a Complex Categorie • Defining Health • Measuring Health • Constructing Health • Experiencing Health • Enacting Health • Relating Health to Social Structure charles.berg@uni.lu

  7. Objective of Presentation • Illustrate the work with indicators and its political relevance • Contextualise indicator construction in the more general approach of policy relevant data analysis • Show potentials and limits of indicators charles.berg@uni.lu

  8. Alternatives and complements to quantitative indicator construction • Networking • Theory-driven semantic structuring charles.berg@uni.lu

  9. Networking • Interviewing experts • Organizing focus groups and workshops • Analyzing documents • Gathering discourse data • Translating and merging discourses • Relating discourses to contexts • Gaining experts as critical friends • Giving young people a voice • Reconstructing everyday rationales • Grounded Theory Methodology charles.berg@uni.lu

  10. Theory-driven semantic structuring as a preprocess of quantitative indicator construction • Luxembourg Youth Report Method: • Chapter • Thematic Domains • Dimensions • Indicators charles.berg@uni.lu

  11. Data Oriented Theory Oriented Physical, Mental, & Social Well-Being • Contexts of Well-Being • Health Promoting and Health Harming Behaviour • Health Outcomes • Risk Behaviour Compare to UNICEF or OECD Structure charles.berg@uni.lu

  12. Available Data Sources Sensible Indicators Contexts of Well-Being • Family Background • Family structure and Dwelling • Socioeconomic Condition • Quality of Relationships • Parental Pressure to Perform • Peers • Frequency of Social Contacts • Support Resources • Support through Class Mates • Leisure • School • Perception of School • School Skipping • Work • Satisfaction with work situation • Absences from Work • General personal Optimism etc charles.berg@uni.lu

  13. Practice • Approaches to indicator construction • The Well-Being Indicator • Examples of a few Analytic Inquiries charles.berg@uni.lu

  14. Approaches to indicator construction:Different Rationales • Semantically/theoretically plausible links between variables • Boolean intersection • Distributional criterion • Classification of variables • Classification of cases • Dimension Reduction • Moving Beyond the Observed charles.berg@uni.lu

  15. Approaches to indicator construction:Statistical Toolkit • Multidimensional contingency table • Correlation matrix • Cluster Analysis (variables) • Unifactorial relationship between a set of more variables (Principal Component Analysis) • Reliability: Cronbach’s Alpha • Cluster Analysis (Cases) • Factor Analysis • Latent Class Analysis charles.berg@uni.lu

  16. The Constructionof a Well-Being Indicator 6 dimensions ; 18 variables charles.berg@uni.lu

  17. Frequencies of Well Being Indicator charles.berg@uni.lu

  18. Analysis 1: The Gender Divide in Well-Being CHI2 = .707 Sig.= .000 PHI = .36 Comparing Frequency Distributions in Quartiles charles.berg@uni.lu

  19. Analysis 2: The Gender Divide in Well-Being F = 798.56 Sig = .000 ETA = .35 ETA2 = .12 Comparing Group Means of Wellbeing Indicator charles.berg@uni.lu

  20. Analysis 3:Gender – Wellbeing Relation by Subfiles charles.berg@uni.lu

  21. Analysis 4: Family and Wellbeing • FAS: Family Affluence Scale • Family Structure • Relationship with Parents • Endo- and Exogenic Network • Family Climate • Structure • Agency • Culture charles.berg@uni.lu

  22. Analysis 5: Wellbeing by FAS charles.berg@uni.lu

  23. Analysis 6:Wellbeing and Family Structure charles.berg@uni.lu

  24. Analysis 7: Well-Being by Parent Relationships charles.berg@uni.lu

  25. Analysis 8: Well-Being by Trust Networks charles.berg@uni.lu

  26. More Topics/similar tendency • Mediation by Knowledge: The Instance of AIDS Prevention • Peer Group Cultures • Nationality, Language, Multilingualisme • Leisure Cultures • Sexual Behaviour • School • Drugs • Nutrition • Risk Behaviour • etc charles.berg@uni.lu

  27. Concluding Remark • Relevance of indicators both in policy relevant and comparative research • Contextualise indicators The indicator construction should be open to a policy making process as well to a process of understanding • Embed indicator reading and interpreting in a conversational process • See indicators as elements in a process of sense making charles.berg@uni.lu

  28. Thank you for your attention. charles.berg @uni.lu charles.berg@uni.lu

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