Diet and Nutrition Survey of Infants and Young Children in Scotland, 2011
A report providing detailed information of food consumption and nutrient intakes of infants and young children (4 to 18 months) in Scotland.
Notes to text and tables
1. The data used in the report have been weighted. The weighting is described in Appendix B of this report. Unweighted sample sizes are shown at the foot of each table.
2. A weighting factor for non-response at the interview stage was used.
3. The data were analysed in SPSS version 20/21 using the complex surveys module.
4. The following conventions have been used in tables:
- no observations (zero value)
0 non-zero values of less than 0.5% and thus rounded to zero
[ ] used to warn of small sample bases, if the unweighted base is less than 50.
5. Because of rounding, row or column percentages may not add exactly to 100%.
6. A percentage may be quoted in the text for a single category that aggregates two or more of the percentages shown in a table. The percentage for the single category may, because of rounding, differ by one percentage point from the sum of the percentages in the table.
7. Values for means, medians, percentiles, standard deviations and standard errors are shown to an appropriate number of decimal places. For reasons of space, Standard Error may sometimes be abbreviated to SE and Standard Deviation to sd.
8. Where no result is available a missing value code has been assigned and the data are omitted from all tables and analyses. 'Missing values' occur for several reasons, including refusal or inability to answer a particular question; refusal to participate in an entire section of the survey (such as a self-completion questionnaire); cases where the question is not applicable to the participant; where a measurement has been removed as an outlier; and where a sample is invalid.
9. The group to whom each table refers is stated at the upper left corner of the table.
10. In chapters 3, 4, 5 and 6 differences highlighted in the text have been statistically tested at the 95% significance level. The term 'significant' refers to statistical significance and is not intended to imply substantive importance.
Contact
Email: Julie Ramsay
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