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The multilevel analysis is shown in Table 3.

An advantage of using multilevel analysis is its flexibility, since it naturally allows to add further levels to the model and to accommodate for multiple outcome variables.

This multilevel analysis is used to optimize the coefficients in the semi-implicit Runge Kutta smoother, such that the spectral radius of the multigrid error transformation operator is minimal under properly chosen constraints.

An initial methodology based on a multilevel analysis is proposed, starting with the identification and integration of the main tasks (process stages) by the material involved, functions to be delivered and appropriate process conditions.

Of course, analysing co-regulation at the group level and contrasting the way it proceeds according to group specificities, using, for instance, multilevel analysis, is an interesting question, but it would need to be applicable with more groups than what we had at our disposal.

In a related vein, previous studies related to students' affective characteristics and students' performance using PISA dataset with multilevel analysis is considered rare in Indonesia, Malaysia, and Thailand despite their early participation since the first cycle of PISA in 2000 for Indonesia and Thailand, and 2009+ for Malaysia.

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.

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).

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).

Univariate and multilevel analysis was used.

The Poisson multilevel analysis was performed.