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ABS Home > Statistics > By Catalogue Number
8146.0.55.002 - Microdata: Household Use of Information Technology, Australia, 2010-11 Quality Declaration 
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 28/05/2013  First Issue
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Header picture USING TABLEBUILDER


For general information relating to TableBuilder or instructions on how to use features of the TableBuilder product, please refer to the User Manual: TableBuilder, 2013 (cat. no. 1406.0.55.005).

More specific information relevant to the HUIT TableBuilder, which should enable users to understand, interpret and tabulate the data, is outlined below.

COUNTING UNITS AND WEIGHTS

Weighting is the process of adjusting results from a sample survey to infer results for the total population. To do this, a 'weight' is allocated to each person. The weight is the value that indicates how many population units are represented by the sample unit.

Estimates of both persons and households can be obtained when using the HUIT TableBuilder. The weight determines the unit of measure. It is therefore critical the correct weight (or 'summation option') is used when specifying tables. The following image shows the available Summation Options.

Picture: screen shot of weights available on the file.


Generally, the Socio–demographic and HUIT Person Level relates to people so a person weight is attached to this level in the Summation Options. The HUIT Household Level relates to households so a household weight is attached to this level.

The default weight when producing any table using the HUIT TableBuilder is the person weight (in bold in the image above). This weight is automatically applied to any table being generated. A weight in bold, such as in the image above, indicates the weight being used in the table. This weight can be changed through Summation Options. Placing a tick in a 'Sum' tick box and then adding it to a row or column in the table will select a different weight.

While the default is person weight, if it is not shown in bold it can be selected through Summation Options. To estimate the number of persons with certain characteristics (e.g. 'Activities of Internet access at home') the weight listed under the category heading Socio–demographic and HUIT Person Level must be used. To specifically select a person weight through Summation Options:
1. Click on the blue triangle 'twistie' () next to the Summation Options line
2. Ensure all 'Sum' tick boxes are blank
3. Click on the Socio–demographic and HUIT Person Level 'twistie'
4. Click on the Person Weight 'twistie'
5. Click on the Sum tick box
6. Add the person weights to your table by clicking on add to row or add to column

To estimate the number of households with certain characteristics (e.g. 'Main type of broadband Internet access') the weight listed under the category heading HUIT Household Level must be used. The same process as above can be followed, ticking the 'Sum' tick box under the HUIT Household Level 'twistie' instead.

The weights that should be used for each data item are shown in the data item list, which can be accessed from the Downloads page.


SELECTING DATA ITEMS FOR CROSS-TABULATION

Apart from the Field Exclusion Rules that are applied in TableBuilder, there are minimal restrictions as to the items that can be selected to appear in a table. That is, generally users are able to cross–tabulate any variable with any other variable on the file. However, often the resulting table is not logical. For example, 'Type of security software' by 'Home access to a computer' cross–tabulates an item from HUIT Person Level with an item from HUIT Household Level which has no meaningful connection.

The following table summarises which variables should and should not be cross–tabulated.

Socio–demographic and HUIT Person Level
Data Items
HUIT Person Level
HUIT Household Level
Socio–demographic and HUIT Person Level Data Items
Geography
Demographics
X
Exception: Index of relative socio-economic index disadvantage – Deciles
Household Demographics
Education
Labour Force
Income
Household Income
Personal Income
HUIT Person Level
See column 2
X
HUIT Household Level
See column 3
X


FIELD EXCLUSION RULES

To ensure confidentiality, TableBuilder prevents the cross-tabulation of certain variables which could result in respondents being identified. These are known as field exclusion rules. If field exclusion rules exist for certain variables, users will see the following message: “Maximum number of fields in exclusion group exceeded.”


TABLE POPULATIONS

Table populations or units of measure can be found by looking at the 'Counting' subheading (see example below).

Table: an example table which shows total gross weekly household income from all sources - deciles by home access to the internet by number of households.

ADJUSTMENT OF CELL VALUES

The TableBuilder dataset has random adjustment of cell values applied to avoid the release of identifiable data. All cells in a table are adjusted to prevent any identifiable data being exposed. For this dataset 'additivity' has not been applied, that is, when the interior cells are randomly adjusted they have not been set to add up to the totals. As a result, randomly adjusted individual cells will be consistent across tables, but the totals in any table will not be the sum of the individual cell values.

ZERO VALUE CELLS

Tables generated from sample surveys will sometimes contain cells with zero values because no respondents that satisfied the parameters of the cell were in the survey. This is despite there being people in the population with those characteristics. That is, the cell may have had a value above zero if all persons in scope of the survey had been enumerated. This is an example of sampling variability which occurs with all sample surveys. Relative Standard Errors cannot be generated for zero cells. Whilst the tables may include cells with zero values, the ABS does not publish such zero estimates and recommends that Table Builder clients do not use these data either.

MULTI–RESPONSE DATA ITEMS

    A number of the survey's data items allow respondents to report more than one response. These are referred to as 'multi–response data items'. An example of such a data item is pictured below. For this data item, respondents can report all of the activities they undertake using the Internet at home.

    Picture: screen shot of activities of internet access at home data item.

    When a multi–response data item is tabulated, a person is counted against each response they have provided (e.g. a person who responds 'emailing' and 'social networking and on-line gaming' and 'educational purposes' will be counted once in each of these three categories).

    As a result, each person in the appropriate population is counted at least once, and some persons are counted multiple times. Therefore, the total for a multi–response data item will be less than or equal to the sum of its components. Multi–response data items can be identified by the initials 'MR' in the data item list, which can be accessed from the Downloads page. In the example below, the sum of the components is 83,938,000, where as the total population is 17,735,500.

    Table: an example table which shows activities of internet access at home by number of persons.


    NOT APPLICABLE CATEGORIES

    Most data items include a 'not applicable' category. The 'not applicable' category comprises those respondents who were not asked a particular question(s) and hence are not applicable to the population to which the data item refers. In the example above, 4,380,200 people did not access the Internet at home and therefore are not applicable to the data item. The classification value of the 'not applicable' category, where relevant, is shown in the data item list (see the data item list in the Downloads tab).


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