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Table 7 Results of regression analysis for problem solving (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).13 (.08)#.17 (.13).14 (.08)#.16 (.09)#
Female (ref = male)− .35 (.05)***− .42 (.08)***− .39 (.06)***− .41 (.06)***
Diverse (ref = male).29 (.27)− .19 (.61).30 (.29).30 (.41)
Social background− .01 (.02)− .01 (.02)− .01 (.02)− .01 (.02)
Age.04 (.01)**.06 (.02)**.04 (.02)**.05 (.02)**
Year of schooling graduate.01 (.00).01 (.01).01 (.00)*.01 (.00)**
Degree of vocational training (ref = no degree of vocational training)− .02 (.07)− .06 (.10)− .01 (.08)− .01 (.09)
University entrance qualification (ref = no university entrance qualification)− .03 (.07)− .02 (.12)− .04 (.08)− .04 (.09)
  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 an 85% efficiency of a normal distribution
  3. #p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001