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Table 6 Results of regression analysis for safety (n = 869)

From: How do the digital competences of students in vocational schools differ from those of students in cooperative higher education institutions in Germany?

 

OLS

LAV

M95

MM85

Cooperative higher education (ref = vocational training)

.20 (.11)#

.19 (.13)

.27 (.11)*

.34 (.12)**

Female (ref = male)

− .16 (.08)*

− .21 (.10)*

− .20 (.09)*

− .23 (.09)*

Diverse (ref = male)

.40 (.50)

1.15 (1.05)

.27 (.58)

.01 (1.17)

Social background

.02 (.02)

.02 (.02)

.01 (.02)

.01 (.03)

Age

.06 (.02)**

.05 (.02)*

.07 (.02)**

.06 (.03)*

Year of schooling graduate

.01 (.01)

.01 (.01)

.01 (.01)

.01 (.01)

Degree of vocational training (ref = no degree of vocational training)

− .11 (.12)

− .07 (.12)

− .11 (.12)*

− .09 (.13)

University entrance qualification (ref = no university entrance qualification)

− .02 (.11)

− .07 (.13)

− .02 (.11)

− .02 (.12)

  1. Unstandardized beta weight are presented, robust standard errors in parenthesis (LAV: Bootstrap standard errors)
  2. OLS ordinary least squares, LAV least-absolute value, M95 Huber-M-Estimator with a 95% efficiency of a normal distribution, MM85 MM-Estimator of 50% breakdown point a 85% efficiency of a normal distribution
  3. #p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001