Please use this identifier to cite or link to this item: https://t2-4.bsc.es/jspui/handle/123456789/63280
Title: Health Survey for England, 2003-2005: Multilevel Modelling Teaching Dataset
Keywords: TEACHING PACKAGES
HEALTH
ANTHROPOMETRIC DATA
WEIGHT (PHYSIOLOGY)
HEIGHT (PHYSIOLOGY)
OBESITY
AGE
GENDER
DEBILITATIVE ILLNESS
SOCIO-ECONOMIC STATUS
ETHNIC GROUPS
QUALIFICATIONS
CARS
MARITAL STATUS
HOUSEHOLDS
HOUSING TENURE
PARENTS
CHILDREN
FAMILIES
2003-2006
England
Description: <P>Abstract copyright UK Data Service and data collection copyright owner.</P>
The <i>Health Survey for England, 2003-2005: Multilevel Modelling Teaching Dataset</i> has been prepared as a resource for those interested in learning multilevel modelling techniques. It was first presented as part of a workshop entitled 'Introducing multilevel models and applying them to the Health Survey for England using MLwiN'. The HSE teaching dataset is available in both Stata and MLwIN formats and is accompanied by a practical guide that includes the multilevel modelling practical exercises. A separate document provides information on the teaching dataset and materials.<br> <br> The main dataset is an edited version of the <i>Health Survey for England</i> (HSE) data from 2003, 2004 and 2005 (the full HSEs are at the UK Data Archive under SNs 5098, 5439 and 5675). Details of the recoding of HSE variables for the teaching dataset and how the aggregate data were produced can be found in the documentation.<br> <br> <b>WARNING – Users should note that this dataset is intended as a learning resource and should not be used for research purposes. In particular the dataset uses adult measures of Body Mass Index (BMI) for children and so the results from the data should not be reported in research contexts.</b><br> <br>
<B>Main Topics</B>:<BR>
The dataset includes four types of variables; BMI, individual socio-economic, household, sampling, multilevel and relationship variables. See documentation for further details.
URI: https://t2-4.bsc.es/jspui/handle/123456789/63280
Other Identifiers: 6765
10.5255/UKDA-SN-6765-1
http://doi.org/10.5255/UKDA-SN-6765-1
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