Type of Educational Institution Attending
Description
Image of Question
Classification
Quality Statement
Description
This variable identifies the type of educational institution being attended by people who are full/part-time students. The categories cover pre-school through to tertiary institutions.
Information on whether a person is attending an educational institution is essential for education and labour market planning. More Detailed Description
Image of Question
Classification
Applicable to: Persons attending an educational institution
01 Pre-school
02 Infants/Primary–Government
03 Infants/Primary–Catholic
04 Infants/Primary–Other Non Government
05 Secondary–Government
06 Secondary–Catholic
07 Secondary–Other Non Government
08 Technical or Further Educational Institution (including TAFE Colleges)
09 University or other Tertiary Institutions
10 Other
&& Not stated
@@ Not applicable
VV Overseas visitor
Total number of categories: 13
Not applicable (@@) category comprises:
Persons not attending an educational institution |
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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