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Valildation Plan Education – ESEC Association. Data source: European Social Survey. DE Germany GB United Kingdom SE Sweden IT Italy NL Netherlands HU Hungary ES Spain. Measures of independent and dependent variables. CASMIN educational categories.
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Valildation Plan Education – ESEC Association
Data source: European Social Survey DE Germany GB United Kingdom SE Sweden IT Italy NL Netherlands HU Hungary ES Spain
ISCED International Standard Classification of Education
Occupational Status (ISEI)* of male respondents by country** and different variables of education • * Adjusted R-squared • ** The National Educational Classification of Germany is not available for the • ESS, Edition 5
Steps to validate ESEC using measures of education • Although related, ESEC as measure of socio-economic position measures something different to educational performance -> discriminant validity • Strong positive association between measures of education and ESEC in all countries • Strength of associations between education and ESEC should differ by country
Step 1: Discriminant validity Association among measures of educational performance must be stronger than association between educational performance and ESEC:
Step 1: Discriminant validity (cont.) Potential issues at this step: appropriate measure of association • ESEC nominal, education nominal/ordinal • proposed: log-multiplicative models (RC II)
Step 2: Strong and positive association between measures of education and ESEC All analyses concerning Step 2 are included in previous step
Step 3: Strength of association between education and ESEC differ by country Differing strength of association between education and ESEC should resemble well-established findings in the literature: • Association high in Germany compared to other Western industrialised countries • Association relatively low in Great Britain • Sweden should take a position in between • Former communist countries should have very strong association Measure: uniform difference models
Exemplifying validation steps using European Social Survey (1) Step 1+2: Calculating association among measures of educational performance and ESEC for each country: e.g. Netherlands: Numbers show association parameters from log-multiplicative row and column effect model (RC II) Problem in general: structural zeros, problem in current data: small N
Exemplifying validation steps using European Social Survey (2) UNIDIFF parameters for the association between education (CASMIN) and class position (EGP)
Occupational Status (ISEI)* of male and female respondents by country** and different variables of education • * Adjusted R-squared • ** The National Educational Classification of Germany is not available for the • ESS, Edition 5