Jeu de données: General Household Survey, 2000-2001: Social Capital Teaching Dataset

Résumé

The variables in the General Household Survey, 2000-2001: Social Capital Teaching Dataset are a subset taken from the full General Household Survey, 2000-2001 (GHS). For that year of the GHS, a social capital 'trailer' was conducted alongside the main survey, which included questions on respondents' local area, fear of crime, participation and trust. The trailer was funded by the Health Development Agency as part of a larger body of work to further understanding of social capital in terms of its meaning, measurement and links to health within the British population. The variables included here are those from the social capital file and others from the main survey, chosen to reflect different dimensions of social capital in relation to a variety of demographic variables, and some outcome variables such as, health, income and employment.

Further information can be found in the Social capital: introductory user guide.

The second edition of the study (released February 2008) replaced the previous edition (released February 2006). The second edition contains a rescaled weight with a mean of 1 (correcting the previous version) and corrects a systematic error in the data which affected the internal consistency of the social capital module variables in relation to those from the main file. Current users of the data are strongly advised to switch to the second edition of the study.

The full General Household Survey series is held at the UK Data Archive under GN 33090.

Main Topics
Topics covered in this teaching dataset include views about respondents' local area; civic participation, social networks (including contact with friends and relatives) and social participation (involvement with groups and voluntary activities). A range of demographic variables are also included.

Titre

General Household Survey, 2000-2001: Social Capital Teaching Dataset

Numéro d'identification

5308

Auteur

Nom Affiliation
University of Manchester. Cathie Marsh Centre for Census and Survey Research. ESDS Government

Autre identifications et remerciements

Nom Affiliation Rôle
The Economic and Social Data Service (ESDS) were funded to compile this teaching dataset by the Economic and Social Research Council (ESRC) and Joint Information Systems Committee (JISC).

The organisations listed under 'Sponsor(s)' funded the main General Household Survey, 2000-2001, from which this dataset has been compiled.

Producteur

Nom Affiliation Abréviation: Rôle
Office for National Statistics. Social Survey Division

Droits d'auteur

Crown copyright held jointly with the Economic and Social Data Service. Crown copyright material is reproduced with the permission of the Controller of HMSO and the Queen's Printer for Scotland.

Commanditaire

Nom Abréviation: Rôle Soumission
Economic and Social Research Council
Higher Education Funding Councils. Joint Information Systems Committee
Office for National Statistics
Department of Health
Office of the Deputy Prime Minister
Department for Transport
Department for Culture, Media and Sport
Department for Work and Pensions
Inland Revenue
Department for Education and Skills
Scottish Government
Government Actuary's Department
Health Development Agency

Distributeur des données

Nom Affiliation Abréviation:
ESDS Government University of Manchester. Cathie Marsh Centre for Census and Survey Research

Dépositaire

Nom Affiliation Abréviation:
University of Manchester. Cathie Marsh Centre for Census and Survey Research. ESDS Government

Date de distribution

2006-02-14

Version

22 February 2008 (2nd Edition)

Date: 2008-02-22

Liste des mot-clés

Classification des sujets

Date de collection

Début Fin Cycle
2000-04-01 2001-03-31

Pays

Great Britain

Unité géographique

Government Office Regions (GORs)

Unité d'analyse

Individuals; Families/households

Univers

Type de données

Numeric data; Individual (micro) level

Méthode temporelle

Cross-sectional (one-time) study. The GHS is an annual cross-sectional study, but this teaching dataset has been compiled using only data from the 2000-2001 survey.

Procédure d'échantillonnage

See documentation for details

Déviations majeures de la définition d'échantillonnage

8,221 cases

Mode de collecte des données

Face-to-face interview

Pondération

Since 2000, a dual weighting scheme has been introduced to the GHS. The dataset contains one weighting variable for two purposes, (1) to compensate for non-response in the sample, (2) to gross up to match known population distributions in terms of region, age-group and sex.

The weight variable in Social Capital dataset is called SCFINW. This weight is different from that used for the main GHS data set. Only one person per household was selected for the social capital questions. This meant that weighting was required to redress the unequal probabilities of selection. This weighting procedure was incorporated into the calculation of the non-response weights (as used in the main data set). The weight used on the social capital data set produces population estimates in 1000's.

Using this weighting has the effect within standards SPSS procedures of substantially increasing the perceived sample size; n will be considerably overestimated in standard procedures in SPSS. Standard errors will be artificially reduced with the result that estimates will appear much more accurate than should be the case. In order to maintain the effective sample size a new rescaled weight has been produced. This weight is called scnewwt, this variable has a mean of 1 - in other words each case, when weighted by scnewwt will on average count as 1 case; the effective sample size is the same. Scnewwt has the effect of adjusting for biases in the sample that arise because only one person per household has been selected without seriously inflating the effective sample size within SPSS. Apply the scnewwt weight to adjust for bias and maintain the effective sample size.

Opérations de nettoyage

The data were processed to the UK Data Archive's 'A*' standard. This is the Archive's highest standard, and means that an extremely rigorous and comprehensive series of checks was carried out to ensure the quality of the data and documentation. Firstly, checks were made that the number of cases and variables matched the depositor's records. Secondly, checks were made that all variables had comprehensible variable labels and all nominal (categorical) variables had comprehensible value labels. Where possible, either with reference to the documentation and/or in communication with the depositor, labels were accordingly edited or created. Thirdly, logical checks were performed to ensure that nominal (categorical) variables had values within the range defined (either by value labels or in the depositor's documentation). Lastly, any data or documentation that breached confidentiality rules were altered or suppressed to preserve anonymity.

Notes


New Edition Information:

The second edition of the study (February 2008), replaces the previous edition (February 2006). The second edition contains a rescaled weight with a mean of 1 (correcting the previous version) and corrects a systematic error in the data which affected the internal consistency of the social capital module variables in relation to those from the main file. Current users of the data are strongly advised to switch to the second edition of the study. Queries relating to the study can be directed to govsurveys@esds.ac.uk>.

Lieu

Disponibilité

ESDS Government, UK Data Archive; Data online via ESDS Download

Notes

Help desk: govsurveys@esds.ac.uk;

Conditions

The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage. See terms and conditions for further information.

Matériel relié

User Guide:

Études reliées

For details of related publications and studies, please see: ESDS Catalogue

Note d'autre références

Study Description: English; Study Documentation: English

Nom du fichier

soccaptchdata.NSDstat

Nombre total de cas

8221

Nombre total de variables

87

Type de fichier

NSDstat 200501

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