FILE STRUCTURE AND CONTENT
The 2016-17 Work-Related Training and Adult Learning (WRTAL) survey TableBuilder is structured as a single person level file. This person level includes general demographic information about each survey respondent such as their age, sex, country of birth and labour force status, as well as details about their recent education and training activities.
When tabulating data from TableBuilder, person weights are automatically applied to the underlying sample counts to provide the survey's population estimates.
The data items included in the 2016-17 WRTAL TableBuilder are grouped under broad headings and subheadings as shown in the image below. A complete data item list can be accessed from the Downloads page.
Multi-Response Data Items
A number of questions included in the WRTAL survey allowed respondents to provide one or more responses. These data items can be identified in the data item list from the Downloads tab by the following label <multiple response>. The sum of individual multi-response categories will be greater than the population or number of people applicable to the particular data item as respondents are able to select more than one response.
For WRTAL the following data items are multiple response:
All reasons for participating in highest formal learning in last 12 months
All reasons for undertaking most recent work-related training
All methods used to deliver most recent work-related training
All reasons for undertaking most recent personal interest learning
All reasons did not participate in (more) non-formal learning
All sources of personal income
Not Applicable Categories
Most data items included in the TableBuilder file include a 'Not applicable' category. The classification values of these 'Not applicable' categories, where relevant, are shown in the data item list in the Downloads tab. The 'Not applicable' category generally represents the number of people who were not asked a particular question or the number of people excluded from the population for a data item when that data was derived (e.g. Year of Arrival in Australia is not applicable for people born in Australia).
The population relevant to each data item is identified in the data item list and should be kept in mind when extracting and analysing data. The actual population estimate for each data item is equal to the total cumulative frequency minus the 'Not applicable' category.
Generally, all populations, including very specific populations, can be 'filtered' using other relevant data items. For example, if the population of interest is 'Employed persons', any data item with that population (excluding the 'Not applicable' category) could be used. While any applicable data item can be used for this filtering process, the WRTAL TableBuilder also includes some data items that have been specifically derived for this purpose. For example, the population data item 'Persons aged 15–24 years' can be used to filter this population rather than the actual age group data item. The specifically derived population data items are listed in the data item list and are included in the 'Populations' folder in the TableBuilder product.