2901.0 - Census Dictionary, 2001  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 24/04/2001   
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Contents >> Short Definitions and Classifications >> Non-School Qualification: Field of Study - QALFP Characteristics

Non-School Qualification: Field of Study

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Quality Statement


This variable describes the field of study of the highest completed non-school qualification. More Detailed Description

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Applicable to:    Persons aged 15 years and over who stated a qualification

01    Natural and Physical Sciences

02    Information Technology

03    Engineering and Related Technologies

04    Architecture and Building

05    Agriculture, Environmental and Related Studies

06    Health

07    Education

08    Management and Commerce

09    Society and Culture

10    Creative Arts

11    Food, Hospitality and Personal Services

12    Mixed Field Programmes

Supplementary codes

000110        Field of study inadequately described
&&&&&&        Field of study not stated
@@@@@@    Not applicable
VVVVVV        Overseas visitor

Total number of categories:
two digit level    12
four digit level    83
six digit level    435

Not applicable (@@@@@@) category comprises:

Persons who have a qualification that is out of scope of this variable
Persons with no qualifications
Persons aged under 15 years

More Detailed Description

Quality Statement

Each stage of the Census is subject to stringent quality assurance measures. However, in a Census there are recognised sources of error which may survive in the data produced. Some of these are overcome or 'repaired' by careful processing procedures and quality management of the processing itself. The effect of those that remain is generally slight, although it may be more important for small groups in the population. The main kinds of error to keep in mind are:

Partial non-response - in some cases where an answer was not provided to a question an answer was imputed or derived (often from other information on the form). In other cases a 'not stated' code was allocated.

Processing error - while such errors can occur in any processing system, quality management is used to continuously improve the quality of processed data, and to identify and correct data of unacceptable quality.

Random adjustment - cells containing small values are randomly adjusted to avoid releasing information about particular individuals, families or households. The effect of random adjustment is statistically insignificant.

Respondent error - processing procedures cannot detect or repair all errors made by persons in completing the form, therefore some may remain in final data.

Undercount - although the Census aims to count each person once, there are some people who are missed and others who are counted more than once. A post enumeration survey is conducted soon after the Census to measure the undercount.

Want more information on Data Quality?

A series of Census Working Papers have been produced to assess and report on various aspects of 2001 Census data quality. More Information

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