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Table 5 Binomial regression model to explain tendencies to withdraw from education and training

From: Discontinuities in vocational education and training: the influence of early-risk factors and personality constructs on premature training termination and subsequent trajectories

 

AME (dy/dx)

S.E

p-value (P)

Low educational qualification

0.124

0.038

0.001

Poor GPA

0.056

0.036

0.123

Participating in a prevocational program before VET

0.048

0.040

0.229

Graduation after more than the typical number of years

0.092

0.040

0.021

Failure to realize the desired occupation

0.034

0.037

0.356

Migration background

− 0.038

0.035

0.286

Low parental education

0.122

0.064

0.055

Low parental occupational status

0.030

0.035

0.397

Conscientiousness (z-stand.)

− 0.016

0.018

0.384

Agreeableness (z-stand.)

− 0.019

0.019

0.327

Openness (z-stand.)

0.004

0.019

0.846

Self-efficacy (z-stand.)

0.018

0.018

0.327

Sex (female)

0.002

0.032

0.945

Training in eastern federal states

0.042

0.045

0.349

Training in school-based VET system

-0.080

0.032

0.013

Time spent in first VET program until PTT

0.002

0.002

0.374

R2

0.077

  
  1. Dependent variable: entry in risk clusters (Cluster 5 to 7); reference group: re-entry in institutionalized education (Cluster 1 to 4); n = 4892; significance levels refer to AME coefficients; effects with p ≤ 0.1 in bold type