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Finding Factors Using exploratory factor analysis to test a performance measure

Finding Factors Using exploratory factor analysis to test a performance measure. Roseanne Sovka BC Ministry of Advanced Education and Labour Market Development PNAIRP Conference 3-5 October 2010. Outline. Background Method Results Next steps. Background. BC Accountability Framework

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Finding Factors Using exploratory factor analysis to test a performance measure

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  1. Finding FactorsUsing exploratory factor analysis to test a performance measure Roseanne Sovka BC Ministry of Advanced Education and Labour Market Development PNAIRP Conference 3-5 October 2010

  2. Outline • Background • Method • Results • Next steps

  3. Background • BC Accountability Framework • All public post-secondary institutions • Annual process • 14 performance measures • Webpage: http://www.aved.gov.bc.ca/framework/welcome.htm#std

  4. Background • Skill development performance measure • Average of 7 survey questions • Bachelor, Diploma & Certificate students • Why these questions? • Similar for all credential types?

  5. Method • Exploratory factor analysis • Data reduction technique • Underlying factors (latent variables) explain the relationship between variables

  6. Results • Using survey results for diploma, associate degree and certificate students • There is a factor structure • Skill development is one of the factors • Includes questions from performance measure • Explanatory power 46%

  7. Results Performance measure

  8. Results • Using survey results for Apprenticeship students • There is a factor structure • Skill development is one of the factors • Similar to diploma and certificate students • Some differences • Explanatory power 47%

  9. Results Performance measure

  10. Results • Using survey results for baccalaureate students • Fewer questions available • Somewhat different question wording and response sets

  11. Results • Using survey results for baccalaureate students • There is a factor structure • Skill development is one of the factors • Similar to other student groups • Some differences • Explanatory power 36%

  12. Results Performance measure

  13. Comparison • All groups had a skills factor • The same questions grouped with the skills factor • Variation in explanatory power • Variation in non-skills factors

  14. Conclusion • Robust skill development factor • Different student groups • Different questions and response scales • Objective rationale for performance measure

  15. Next steps • Accountability Framework committee is considering the results • Any questions?

  16. Finding FactorsUsing exploratory factor analysis to test a performance measure Roseanne Sovka BC Ministry of Advanced Education and Labour Market Development PNAIRP Conference 3-5 October 2010

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