However, an important finding through the multilevel analysis was that this "safety function" of vocational systems works only for young people with higher education, with young people with lower education facing more difficulties in finding a permanent job.
As students are nested within schools, multilevel analysis was conducted to examine the effects of a higher-level unit such as school factors, and on a lower-level unit such as student factors (Hox 2010; Raudenbush and Bryk 2002).
Multilevel analysis was applied, and the results show empirical evidence for superior performance for both boys and girls in the learning path condition as compared with that in the conventional condition.
The multilevel analysis was realised by using the IBM SPSS® MIXED ProcedureTM (SPSS 2005) and using SPSS 23® (IBM®, Chicago, USA), which is able to examine autocorrelated data and variables with unequal variances (cf. Heck et al. 2010; Peugh and Enders 2005).
Univariate and multilevel analysis was used.
The Poisson multilevel analysis was performed.
The multilevel analysis was conducted with R (2.11).
Multilevel analysis was considered because data were collected at schools.
Multilevel analysis was applied using the Poisson regression.
The multilevel analysis was carried out using MLwiN 1.1 software.
A multilevel analysis was performed at team and hospital levels.
