1 / 21

Valildation Plan Education – ESEC Association

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.

hertz
Download Presentation

Valildation Plan Education – ESEC Association

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Valildation Plan Education – ESEC Association

  2. Data source: European Social Survey DE Germany GB United Kingdom SE Sweden IT Italy NL Netherlands HU Hungary ES Spain

  3. Measures of independent and dependent variables

  4. CASMIN educational categories

  5. ISCED International Standard Classification of Education

  6. 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

  7. Highest level of education, Italy

  8. Highest level of education, United Kingdom

  9. Highest level of education, Netherlands

  10. Highest level of education, Spain

  11. 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

  12. Step 1: Discriminant validity Association among measures of educational performance must be stronger than association between educational performance and ESEC:

  13. 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)

  14. Step 2: Strong and positive association between measures of education and ESEC All analyses concerning Step 2 are included in previous step

  15. 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

  16. 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

  17. Exemplifying validation steps using European Social Survey (2) UNIDIFF parameters for the association between education (CASMIN) and class position (EGP)

  18. Highest level of education, Germany

  19. Highest level of education, Sweden

  20. Highest level of education, Hungary

  21. 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

More Related