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USING THE CURF DATA
USING THE EPISODIC DATASET
The person level contains information about each selected person and the household to which they belong. The person level contains 15,028 records.
The Difficulty Accessing Service Providers level is an episodic dataset. Respondents who indicated that they had had difficulty accessing a service were asked to report both all the reasons and the main reason that they had difficulty accessing the service for up to three service provider types. Thus users can use the 'Services had difficulty accessing' item on the Difficulty Accessing Service Providers level in conjunction with the 'All difficulties accessing service providers' or 'Main difficulty accessing service providers' items to examine the difficulties experienced by a respondent for up to three service provider types.
Use of weights
The 2010 GSS was conducted on a sample of private households in Australia, and as such users need to take this into account when deriving estimates from the CURFs. Each unit record contains two weights. The weights indicate how many population units, i.e. persons or households, are represented by the sample unit. The person weight identifier is FINPRSWT and the household weight identifier is HHWTPAA. In addition, replicate weights have also been included, with 60 person replicate weights (WPM0101 - WPM0160) and 60 household replicate weights (WHM0101 - WHM0160). The purpose of these replicate weights is to enable calculation of the Relative Standard Error (RSE) for each estimate produced from the CURFs. For more information on RSEs, please refer to Chapter 5: Data Quality.
Where estimates are derived from the CURF, it is essential that they are calculated by using the weights of persons or households in each category, and not just by counting the number of records in each category. If person or household weights were to be ignored when analysing the data to draw inferences about the population, then no account would be taken of a person’s or household's chance of selection, or of different response rates across population groups, and the resulting estimates may therefore be seriously biased. The application of weights ensures that estimates conform to an independently estimated distribution of the population by age and other characteristics, rather than to the distributions within the sample itself.
It should be noted that as a result of some of the changes made to protect confidentiality on the CURFs, estimates of benchmarked items produced from the CURFs may not equal benchmarked values.
Each record has an individual person identifier called ABSPID and a service difficulties episode identifier called ABSDID.
There is a single record level available on the 2010 GSS CURFs which can be weighted to produce either person or household estimates. Person data exist only for persons aged 18 and over.
Details of special codes to be aware of when analysing data are available in the CURF data item lists available on the ABS web site <www.abs.gov.au>.
Multiple response items
There are a number of data items on the 2010 GSS CURFs which have multiple responses. In these instances respondents were able to select one or more response categories, and the output data items are multi-response in nature, i.e. counts will not add to total persons. This section describes such items and provides some information on how to use them.
One example is the 'Source of support in time of crisis' data item, which captures multiple responses where a respondent may identify more than one source of support in a time of crisis. The first response is captured in the first, or 'A', position (e.g. SCESUPPA), and additional responses are in the second and then third and higher, or 'B' and 'C' and higher, positions (e.g. SCESUPPB, SCESUPPC). If only one response is possible, for example 'No support' then this response may also appear in the 'A' position. If a data item does not apply, e.g. for the multiple response item 'Type of support provided by selected person for children 0-17 living outside the household', where the respondent does not have a child aged 0-17 living outside the household, then the value assigned for 'Not applicable' will appear in the first position (e.g. SUPCHIA). The 'Null response' (value of 0 or 00) is a default code and should be ignored. All of these categories should be used in analysis.
Please refer to the data item list 'GSS 2010 CURF Data items', which is a datacube accompanying this User Guide, for listings of multiple response items and for specific information on the number of item repeats and the category labels and values.
The Basic CURF includes two geographic items: 'State or territory of usual residence' (STATEUR) and 'Remoteness areas' (ARIACF). To enable Expanded CURF users greater flexibility in their analyses, the Index of Relative Socio-Economic Disadvantage (SEIFADEC, SEIFAQN) and several sub-state geography items ('State or territory of usual residence' (STATEUR); 'Remoteness areas' (ARIACF); 'Area of usual residence' (AREAUR); and 'Section of state' (SOSGSS)) are included on the Expanded GSS 2010 CURF.
Conditions are placed on the use of these items. Tables showing multiple data items, cross-tabulated by more than one sub-state geography at a time, are not permitted due to the detailed information about small geographic regions that could be presented. However, simple cross-tabulations of population counts by sub-state geographic data items may be useful for clients in order to determine which geography item to include in their primary analysis, and such output is permitted. Users are advised that this condition is monitored through the RADL audit process.