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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?

 

OLS

LAV

M95

MM85

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