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Barriers to participation in continuing education: The Czech Republic case

1. Barriers to participation in continuing education: The Czech Republic case. Věra Czesaná National Training Fund. Lille, May 21th – 23th, 2008. 2. National Observatory of Employment and Training.

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Barriers to participation in continuing education: The Czech Republic case

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  1. 1 Barriers to participation in continuing education: The Czech Republic case Věra Czesaná NationalTrainingFund Lille, May 21th – 23th, 2008

  2. 2 National Observatory of Employment and Training NOET provides information, carries out research, collects data including field surveys, and analyses development trends in the labour market and education in the following main areas: • analyses of mutual links between LM and education (especially access to education, role of education in increasing employability); • analyses of the HRD as a resource and result of competitiveness of the economy (quality of HR, HR in knowledge and technology intensive industries); • development of methodology and provision of forecasting of labour market qualification needs at the national, sectoral and regional levels; NOET co-operates closely with national ministries, EC, OECD, Cedefop (European Centre for the Development of Vocational Training) and other partner institutions. It takes part in the expert European networks: ReferNet (national co-ordinator) andSkillsNet (international network for co-operation in forecasting skills needs).

  3. 3 Structure of presentation • Participation in continuing education in the CR • Survey on barriers to participation – methodology • Reasons for not participating • Factor analysis approach • What are the main barriers for different social groups • Conclusions

  4. 4 Participation in continuing education in the CR Changes in participation rate (%, percentage points) Source: EUROSTAT (2003, 2006b), own calculations • Almost 10% of adult population in EU-27 is participating • Large differences between old and new MS • CZ – only 6.1% • Majority of countries will not able to meet the Lisbon goal 12.5% by 2010 • The case of Denmark, UK and Spain – a fast increase is possible

  5. 5 Survey on barriers - methodology • Characteristics of the sample: • 2 987 persons aged 25 to 64 (quota selection corresponding to the census) • participation, barriers - all types of education (EUROSTAT definition),12 months • identification following gender, age, educational attainment, LM position, profession, income, size of the residence place, company size, industry, foreign capital stake) • Method: face to face interview, 11 factual questions + 10 identification questions

  6. 6 Survey - participation in education I. • Disadvantaged people in pre-retirement age • Large differences according to education attainment and income (very low participation for people with basic as well as secondary levels) • Small differences according to the size of living place (except vilages) Source: NOZV-NVF, CVVM 2005

  7. 7 Survey - participation in education II. • Very low participation of woman on maternity leave • Very low participation not only unskilled workers but also skilled blue collars and lower white collars Source: NOZV-NVF, CVVM 2005

  8. 8 Reasons for not participating in education Source: NOZV-NVF, CVVM 2005

  9. 9 Factor analysis – I. • Factor analysis: • to reveal links between barriers (barriers occurring simultaneously) • to identify the nature of barriers in relation to various social groups Note: Principal component matrix with Quartimax rotation was used for the extraction of factors. The table shows correlation coefficients between the factor and each barrier. FACTOR 1 „Actual barriers“ – high course prices combined with insufficient information and courses supply; no negative attitudes (enjoy education) FACTOR 2 „Can not“ participate in continuing education – here is strongly represented lack of time, care for family; they think they need education

  10. 10 Factor analysis – II. Note: Principal component matrix with Quartimax rotation was used for the extraction of factors. The table shows correlation coefficients between the factor and each barrier. FACTOR 3 „Does not need“ continuing education – considering qualification to be sufficient, no lack of information, no fear of education FACTOR 4 „Given up“ – clearly headed by the barrier „education does not offer the expected usefulness, negative attitude (does not enjoy), fear of education (education is too demanding)

  11. 11 F 1:Actual barriers

  12. 12 F2: Cannot participate

  13. 13 F3: Does not need education

  14. 14 F4: Has given up on education

  15. 15 Conclusions • The situation in the CR is characterised by low participation in continuing education which is a danger not only for disadvantaged groups but also for large groups people with medium qualification and income • Different combination of factors is typical for individual social groups – policy measures must respect specificities if they are to be effective • Factor analysis identified 4 groups of barriers that people are facing: - actual barriers, - can not participate, - do not need education, - given-up. • The factor analysis in combination with participation characteristics helps to reveal the right policy measures tailored made for individual social groups • Special measures for social groups they need help; some support for people that try to overcome barriers (the results could be probably the most effective ones); activation measures for people that have given-up(large group of people)

  16. 16 THANK YOU FOR YOUR ATTENTION VERA CZESANA czesana@nvf.cz

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