Rebukes tended to focus on the looming threats of Ofsted at the start of the year, constant reminders of why we did not achieve "Outstanding" once Ofsted had been, insufficient use of pupil premium data, and expecting more admin tasks to be completed within lessons.
Therefore, variability of students' boredom can be segmented into three components: between times within lessons, between lessons within students and between students.
Variability of students' boredom can be segmented into three components: between times within lessons, between lessons within students and between students.
This suggests that within PD experiences, more emphasis is needed on how to connect content within lessons.
However, we did not find an interaction of the control-value appraisals on the level of measurement points within lessons.
We started with a null model to estimate the variability of students' ratings at each of the levels (i.e., extent of variability between measurement points within lessons, between lessons within students and between students).
The control appraisal on the other hand is only significantly related with boredom at the level of measurement points within lessons.
Given the relatively high intraclass-correlations of variables and the large number of measures within lessons and within individuals, this procedure appears suitable for a reliable assessment of variables including their interactions (Bryk and Raudenbush 1992; Lüdtke et al. 2006).
The CSSM data design generates a hierarchical data structure, where students' multiple boredom ratings (level 1, k) are nested within lessons (level 2, j) which are nested within students (level 3, i).
In addition, we found that emotional states tend to be affected by the interaction of self-regulation and learning situations within lessons (but that's just a sample-related and non-significant effect).
