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ABOUT THE EXPANDED CURF
The nature of the changes made, and the relatively small number of records involved ensure that the effects on data for analysis purposes is considered negligible. These changes also mean that estimates produced from the Expanded CURF may differ from those published in National Health Survey: First Results, 2014-15 (cat. no. 4364.0.55.001), subsequent publications and the TableBuilder.
ACCESSING EXPANDED CURFS
Expanded CURFs can only be accessed via the Remote Access Data Laboratory (RADL) and DataLab. To apply for access to the Expanded CURF, follow the instructions via the Microdata Entry Page.
COUNTS AND WEIGHTS
NUMBER OF RECORDS BY LEVEL, NHS 2014-15 EXPANDED CURF
Weights and Hierarchical Files
There are two weight variables on the file:
Household Weight (NHSFHHWT) - Household level - Benchmarked
Person Weight (NHSFINWT) - Selected Person level - Benchmarked to the total population.
There is no weight associated with the other levels. This is because the records are repeated for each person. If, for example, NHSFINWT is merged onto the Conditions level, it will be attached to each condition record and therefore be repeated for each person where they have more than one condition. This should be considered when producing tables. See Copying information across levels below for more information.
For more information about weights, see Reliability of Estimates below.
The NHS is a sample survey, so to produce estimates for the in-scope population you must use weight fields in your calculations. When analysing a Household level item at the household level, you will need to use the household weight. For example, if you wanted to know the number of households in a state, rather than the number of persons living in that state.
Caution should be used when applying the ‘Household’ weight to items from other levels. For example, if the household weight is applied to a selected person level demographic item, such as ‘Sex’, your table will show the number of households with one or more selected persons of that sex. Since up to two people can be selected in the NHS, this will result in some households being counted twice, once for females and once for males.
Copying information across levels
The following SAS code is an example of copying information from a lower level to a level above:
A number of questions in the survey allowed respondents to provide one or more responses. Each response category for these multi-response data items is treated as a separate data item. On the CURF, these data items share the same identifier (SAS name) prefix but are each separately suffixed with a letter - A for the first response, B for the second response, C for the third response and so on.
For example, the multi-response data item 'Disability type' has six response categories (excluding 'Not applicable'). There are six data items named DISABA, DISABB, DISABC...DISABF. Each data item in the series will have either a positive response code or a null response code, with the exception of the first item in the series, DISABA. DISABA has three potential response codes: the positive response code 1 - 'Sight, hearing, speech', the code 0 - null response, as well as the additional response code, code 7 - 'Not applicable'. The remaining items DISABB--F have just the two response codes each. The data item list identifies all multi-response items and lists the corresponding codes with the corresponding response categories.
Note that the sum of individual multi-response categories will be greater than the population applicable to the particular data item as respondents are able to select more than one response.
RELIABILITY OF ESTIMATES
As the survey was conducted on a sample of private households in Australia, it is important to take account of the method of sample selection when deriving estimates from the CURF. This is particularly important as a person's chance of selection in the survey varied depending on the state or territory in which the person lived. If these chances of selection are not accounted for by use of appropriate weights, the results will be biased. For details on the NHS weighting process, see Weighting, Benchmarking and Estimation in National Health Survey: First Results, 2014-15 - Explanatory Notes (cat. no. 4364.0.55.001).
Each person record has a main weight (NHSFINWT). This weight indicates how many population units are represented by the sample units. When producing estimates of sub-populations from the CURF, it is essential that they are calculated by adding the weights of persons in each category and not just by counting the sample number in each category. If each person's weight were to be ignored when analysing the data to draw inferences about the population, then no account would be taken of a person's chance of selection or of different response rates across population groups, with the result that the estimates produced could be biased. The application of weights ensures that estimates will conform to an independently estimated distribution of the population by age, by sex, etc. rather than to the distributions within the sample itself.
Each person record on the CURF contains 60 replicate weights in addition to the main weight. Replicate weights can be used to calculate measures of sampling error. For details on sampling error calculations and replicate weights, see Technical Note.
EXPANDED CURF FILES
These files contain the data for the CURF in SAS format.
NHS14HHE.sas7bdat contains Household level data
NHS14SPE.sas7bdat contains Person level data
NHS14ALE.sas7bdat contains Alcohol day level data
NHS14ATE.sas7bdat contains Alcohol type level data
NHS14ACE.sas7bdat contains Actions level data
NHS14COE.sas7bdat contains Conditions level data
NHS14MDE.sas7bdat contains Medications level data
These files contain the data for the CURF in SPSS format.
NHS14HHE.sav contains Household level data
NHS14SPE.sav contains Person level data
NHS14ALE.sav contains Alcohol day level data
NHS14ATE.sav contains Alcohol type level data
NHS14ACE.sav contains Actions level data
NHS14COE.sav contains Conditions level data
NHS14MDE.sav contains Medications level data
These files contain the data for the CURF in STATA format.
NHS14HHE.dta contains Household level data
NHS14SPE.dta contains Person level data
NHS14ALE.dta contains Alcohol day level data
NHS14ATE.dta contains Alcohol type level data
NHS14ACE.dta contains Actions level data
NHS14COE.dta contains Conditions level data
NHS14MDE.dta contains Medications level data
FORMATS.sas7bcat is a SAS library containing formats
The following plain text format files contain data item code values and category labels at each level, with weighted and unweighted frequencies for each value.
FREQUENCIES_NHS14HHE.txt contains Household level data
FREQUENCIES_NHS14SPE.txt contains Person level data
FREQUENCIES_NHS14ALE.txt contains Alcohol day level data
FREQUENCIES_NHS14ATE.txt contains Alcohol type level data
FREQUENCIES_NHS14ACE.txt contains Actions level data
FREQUENCIES_NHS14COE.txt contains Conditions level data
FREQUENCIES_NHS14MDE.txt contains Medications level data
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