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Derrington 2012 thesis.pdf - Anglia Ruskin Research Online

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5.7 Quantitative data collection from school sources<br />

Twelve sets of data were taken from attendance registers, logbooks of incidences,<br />

records of occasions when there was need for restraint, and from other on-line<br />

sources at school. The researcher collected the data at half-termly intervals over the<br />

two-year period as illustrated in table 5.7.<br />

Table 5.7 Times of data collection from school sources<br />

Data 1 2 3 4 5 6 7 8 9 10 11 12<br />

collection<br />

Year 2009 2010 2011<br />

Half-term<br />

7Sept<br />

2 Nov<br />

4 Jan<br />

22Feb<br />

20 Apr<br />

7 June<br />

6Sept<br />

1 Nov<br />

5 Jan<br />

28Feb<br />

27Apr<br />

6June<br />

block<br />

to<br />

to<br />

to<br />

to<br />

to<br />

to<br />

to<br />

to<br />

to<br />

to<br />

to<br />

to<br />

23Oct<br />

18Dec<br />

12Feb<br />

1Apr<br />

28May<br />

23July<br />

22Oct<br />

17Dec<br />

18Feb<br />

8 Apr<br />

27May<br />

22July<br />

In all cases of challenging behaviour and exclusion, the incidents were recorded by<br />

type. Categories included inappropriate behaviour, disruptive behaviour, damage to<br />

property, assault on pupil, non-compliance, fighting, verbal abuse, theft, dangerous<br />

behaviour, bullying and assault on staff. In CVC records, linked documents were<br />

manually searched to find letters to parents to confirm reasons for exclusion. Records<br />

of attendance including absence, both authorised and not, were made and other notes<br />

made by staff on the school Capita SIMS system 35 were collated. All emails sent to<br />

staff concerning students in the project were printed off and kept in the respective<br />

student’s file.<br />

5.8 Statistical analysis<br />

Following the guidelines on using the Beck Youth Inventories, the raw scores for<br />

each inventory were calculated with one score for each item. The raw scores were<br />

then converted into standardised T scores 36 , created for each inventory from means<br />

and standard deviations specific to the group for young people aged 11 -14 and<br />

separated by gender (Beck et al., 2005, p.65). T scores ‘provide a common metric that<br />

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!<br />

$& !This is a management information system used by most schools in the UK.<br />

$' !These were developed using samples from a US population of children and<br />

adolescents.<br />

! "#%!

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