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Publication - Statistics Publication

Scottish Schools Adolescent Lifestyle and Substance Use Survey (SALSUS): Technical Report 2015

Published: 25 Oct 2016
Part of:
Health and social care
ISBN:
9781786525338

Detailed information on the fieldwork and data processing for the 2015 Scottish Schools Adolescent Lifestyle and Substance Use Survey (SALSUS).

96 page PDF

1.5MB

96 page PDF

1.5MB

Contents
Scottish Schools Adolescent Lifestyle and Substance Use Survey (SALSUS): Technical Report 2015
Weighting

96 page PDF

1.5MB

Weighting

Weighting is an adjustment factor applied to survey results to take account of any under or over representation as a result of non-response bias. For example, persons in under-represented groups get a weight larger than 1, and those in over-represented groups get a weight smaller than 1. In any analysis of the data (e.g. calculating averages, making comparisons between subgroups) the weighted values are used.

There were two main factors to take into account when applying weights to the 2015 SALSUS dataset. The first was to compensate for the impact of the sample design on the probability of selection - design weights. In the case of SALSUS 2015, the aspects of the sample design that had an impact on the probability of selection were: the additional sample for three boosted local authorities; the additional sample for the three RCS local authorities; and using classes; rather than pupils, as the sampling unit.

The second reason was to correct for any under/over representation of different groups of pupils as a result of non-response - corrective weights.

Weighting was applied for the following variables:

  • Local authority
  • Sex
  • Year group
  • Sector (state/independent)
  • Denomination (non-denomination/catholic)
  • Urban/rural classification.

Denomination and urban/rural classification applied only to state schools as there was no information available for independent schools.

A single weighting variable was subsequently created to bring the sample in line with the pupil census at a national level.


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