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Table 5 Results of regression analysis for digital content-creation (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?

 OLSLAVM95MM85
Cooperative higher education (ref = vocational training).03 (.11).44 (.24)#.16 (.09)#.26 (.08)***
Female (ref = male)− .08 (.08)− .01 (.03)− .04 (.07).03 (.05)
Diverse (ref = male).38 (.47).36 (.67).26 (.40).11 (.22)
Social background.01 (.03).01 (.01).01 (.02).01 (.02)
Age.03 (.02).01 (.01).02 (.02).01 (.02)
Year of schooling graduate.01 (.01).01 (.01).01 (.01).03 (.04)
Degree of vocational training (ref = no degree of vocational training)− .09 (.01).01 (.02)− .05 (.10)*.04 (.08)
University entrance qualification (ref = no university entrance qualification)− .01 (.10).01 (.13).03 (.09).09 (.07)
  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