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Table 3 Attitudes towards VET, weighted data (clustered standard error in brackets)

From: Attractiveness is in the eye of the beholder

  Attitude towards VET
(Perceived) quality of education (latent) 1.313 [0.151]a
(Perceived) labour market outcomes (latent) 0.464 [0.054]a
VET enables people to continue to higher education Yes
VET does not provide soft skills Yes
VET does not lead to well-regarded jobs
 Tend to agree 0.337 [0.110]a
 Tend to disagree 0.719 [0.117]a
 Totally disagree 0.938 [0.112]a
 Don’t know 0.694 [0.163]a
Likelihood of finding a job (relative to people with general education) Yes
Being accepted in VET (relative to General Education) Yes
Attended VET (recently or in the past) Yes
Father’s education
Difficulties in making ends meet  
Gender Yes
Age class  
Number of persons in the household  
Current labour market position  
Country dummies Yes
Constant − 4.616 [0.914]a
Number of observations 20,029
Log likelihood restricted model − 10,322.546
Log likelihood full model − 8,279.251
Chi squared test 4,086.590a
  1. aSignificant at 5%. The reference group of the variable is in parentheses: VET does not lead to well-regarded jobs (totally agree), Education (no education), VET enables people to go on to university (totally agree), VET does not provide students with soft skills (totally agree), likelihood that VET graduates find a job compared to GE graduates (more likely), ease of being accepted on a VET course (much easier), age group (15 to 24), current occupation (self-employed), Father’s Education (no education), Difficulties in making ends meet (most of the time), Area (rural area), and number of people in the household (1 person)