6227.0 - Education and Work, Australia, May 2009 
Quality Declaration
Quality Declaration ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 24/11/2009
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EXPLANATORY NOTES
6 Boarding school pupils have been excluded from the scope of the SEW since 2005, but were included in earlier collections. The LFS in May 2009 yielded an estimate of 19,200 boarding school pupils aged 15 years and over, who were excluded from the SEW. 7 In 2009, persons aged 65-74 years who were in the labour force, or were marginally attached to the labour force, were interviewed for the first time for SEW. In May 2009 there were an estimated 270,400 persons aged 65-74 years in the labour force or marginally attached to the labour force, out of a total 1,464,800 persons aged 65-74 years. Persons are determined to be marginally attached to the labour force if they were not in the labour force in the reference week, wanted to work and:
8 This supplementary survey was conducted in both urban and rural areas in all states and territories, but excluded people living in Indigenous communities in very remote parts of Australia. In 2009, persons who live in very remote areas that are not part of the Indigenous Community Frame (ICF) were interviewed for the first time for SEW. Approximately 0.5% (76,700) of persons in scope of SEW in 2009 live in very remote areas that are not part of the ICF. COVERAGE 9 The estimates in this publication relate to persons covered by the survey in May 2009. In the LFS, coverage rules are applied which aim to ensure that each person is associated with only one dwelling and hence has only one chance of selection in the survey. See Labour Force, Australia (cat. no. 6202.0) for more details. SAMPLE SIZE 10 Approximately 96% of the selected households were fully responding to the SEW, which resulted in a total of 30,440 completed interviews. The LFS sample size in May 2009 was approximately 20% smaller than the sample size in May 2008 and approximately one-third smaller than in May 2007. This is due to an 11% sample reduction that was implemented from November 2007 to June 2008 based on the 2006 sample design following the 2006 Census of Population and Housing, and an additional 24% sample reduction implemented in July 2008. The reduced sample will still be representative, with selections made across all parts of Australia. The smaller sample size has resulted in the relative standard errors (RSEs) for 2009 SEW estimates increasing by approximately 11% on average from the 2008 SEW estimates and approximately 22% from the 2007 SEW estimates. The Northern Territory estimates are an exception because the sample size has increased in the Northern Territory, and therefore the RSEs have decreased. For more information see Information Paper: Labour Force Sample Design, Nov 2007 (cat. no. 6269.0). RELIABILITY OF THE ESTIMATES 11 Estimates in this publication are subject to sampling and non-sampling errors:
SEASONAL FACTORS 12 The estimates are based on information collected in the survey month, and due to seasonal factors they may not be representative of other months of the year. CLASSIFICATIONS COUNTRY OF BIRTH 13 Country of birth data are classified according to the Standard Australian Classification of Countries (SACC) 1998 (Revision 2.03) (cat. no. 1269.0). Revision 2.03 amends the Standard Australian Classification of Countries, 1998 (cat. no. 1269.0) according to the creation of the independent republics of Montenegro and Serbia; updates to International Organization for Standardization (ISO) and UN classification codes; and valid output code options for some supplementary codes. These revisions have been effective since January 2007. INDUSTRY 14 Industry data are classified according to the Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (cat. no. 1292.0). OCCUPATION 15 Occupation data are classified according to the Australia and New Zealand Standard Classifications of Occupations (ANZSCO), First Edition, 2006 (cat.no. 1220.0). EDUCATION 16 Education data are coded to the Australian Standard Classification of Education, 2001 (cat. no. 1272.0). The ASCED is a national standard classification which can be applied to all sectors of the Australian education system including schools, vocational education and training and higher education. The ASCED comprises two classifications: Level of Education and Field of Education. 17 Level of Education is defined as a function of the quality and quantity of learning involved in an educational activity. There are nine broad levels, 15 narrow levels and 64 detailed levels. For definitions of these levels see the Australian Standard Classification of Education, 2001 (cat. no. 1272.0). 18 Field of Education is defined as the subject matter of an educational activity. Fields of education are related to each other through the similarity of subject matter, through the broad purpose for which the education is undertaken, and through the theoretical content which underpins the subject matter. There are 12 broad fields, 71 narrow fields and 356 detailed fields. For definitions of these fields see the Australian Standard Classification of Education, 2001 (cat. no. 1272.0). LEVEL OF HIGHEST EDUCATIONAL ATTAINMENT 19 Level of highest educational attainment was derived from information on highest year of school completed and level of highest non-school qualification. The derivation process determines which of the 'non-school' or 'school' attainments will be regarded as the highest. Usually the higher ranking attainment is self-evident, but in some cases some secondary education is regarded, for the purposes of obtaining a single measure, as higher than some certificate level attainments. 20 The following decision table is used to determine which of the responses to questions on highest year of school completed (coded to ASCED Broad Level 6) and level of highest non-school qualification (coded to ASCED Broad Level 5) is regarded as the highest. It is emphasised that this table was designed for the purpose of obtaining a single value for level of highest educational attainment and is not intended to convey any other ordinality. 21 The decision table is also used to rank the information provided in a survey about the qualifications and attainments of a single individual. It does not represent any basis for comparison between differing qualifications. For example, a person whose highest year of school completed was Year 12, and whose level of highest non-school qualification was a Certificate III, would have those responses crosschecked on the decision table and would as a result have their level of highest educational attainment output as Certificate III. However, if the same person answered 'certificate' to the highest non-school qualification question, without any further detail, it would be crosschecked against Year 12 on the decision table as Certificate not further defined. The output would then be Year 12. The decision table, therefore, does not necessarily imply that one qualification is 'higher' than the other. For more details, see Education Variables, 2002 (cat. no. 1246.0). LEVEL OF EDUCATION OF CURRENT STUDY 22 Level of education of current study is derived using the decision table displayed above, taking into account Level of education of school study in current year and Level of education of non-school study in current year for persons who are undertaking concurrent qualifications. COMPARABILITY OF TIME SERIES 23 Supplementary surveys are not always conducted on the full LFS sample. Since August 1994 the sample for supplementary surveys has been restricted to no more than seven-eighths of the LFS sample. Since it was introduced, this survey has been conducted on various proportional samples and therefore sampling errors associated with previous supplementary surveys may vary from the sampling error for this survey. 24 Since 2005, boarding school pupils have been excluded from the scope of the SEW, but were included in earlier collections. For more details, see paragraph 6 of the Explanatory Notes. 25 Since 2007, industry data in the SEW are classified according to the Australian and New Zealand Standard Industrial Classification, 2006 (cat. no. 1292.0). Industry data prior to this were classified according to the Australian and New Zealand Standard Industrial Classification, 1993 (cat. no. 1292.0). Therefore, industry data from SEWs prior to 2007 are not directly comparable to 2009 industry data. 26 Since 2007, occupation data in the SEW are classified according to the Australia and New Zealand Standard Classifications of Occupations, First Edition, 2006 (cat.no. 1220.0). Occupation data prior to this were classified according to the Australia Standard Classifications of Occupations, Second Edition, 1997 (cat.no. 1220.0). Therefore, occupation data from SEWs prior to 2007 are not directly comparable to 2009 occupation data. 27 In previous years, only persons aged 15-54 years were included in the apprenticeship/traineeship survey questions. In 2008, the age scope was extended to include persons aged 55-64 years for these questions. In 2009, the age scope was further extended to include persons aged 65-74 years for these questions. In 2008, the definition for apprentices and trainees changed from those employed as apprentices/trainees to include only those with a formal contract under the Australian Apprenticeship Scheme. Therefore data on apprentices from previous years are not directly comparable to 2008 and subsequent data. Note that Australian School-based Apprenticeships are excluded. 28 Revisions are made to population benchmarks for the LFS after each five-yearly Census of Population and Housing. The last such revision was made in February 2009 to take account of the results of the 2006 Census of Population and Housing. Estimates from supplementary surveys conducted from and including 2009 are therefore based on these 2006 population benchmarks. COMPARISON WITH OTHER ABS SOURCES 29 Since the SEW is conducted as a supplement to the LFS, data items collected in the LFS are also available. However, there are some important differences between the two surveys. The SEW sample is a subset of the LFS sample (see Paragraph 1 of these Explanatory Notes) and the SEW had a response rate of 96% which is lower than the LFS response rate for the same period of 97%. Due to these differences between the samples, the SEW data are weighted as a separate process to the weighting of LFS data. Differences may therefore be found in the estimates collected in the LFS and published as part of the SEW, when compared with estimates published in the May 2009 issue of Labour Force, Australia (cat. no. 6202.0). 30 Additionally, estimates from the SEW may differ from the estimates produced from other ABS collections, for several reasons. The SEW is a sample survey and its results are subject to sampling error. Results may differ from other sample surveys, which are also subject to sampling error. Users should take account of the RSEs on estimates and those of other survey estimates where comparisons are made. 31 Differences may also exist in the scope and/or coverage of the SEW compared to other surveys. Differences in estimates, when compared to the estimates of other surveys, may result from different reference periods reflecting seasonal variations, non-seasonal events that may have impacted on one period but not another, or because of underlying trends in the phenomena being measured. 32 Finally, differences can occur as a result of using different collection methodologies. This is often evident in comparisons of similar data items reported from different ABS collections where, after taking account of definition and scope differences and sampling error, residual differences remain. These differences are often the result of the mode of the collections, such as whether data are collected by an interviewer or self-enumerated by the respondent, whether the data are collected from the person themselves or from a proxy respondent, and the level of experience of the interviewers. Differences may also result from the context in which questions are asked, i.e. where in the interview the questions are asked and the nature of preceding questions. The impacts on data of different collection methodologies are difficult to quantify. As a result, every effort is made to minimise such differences. 33 The following table, Comparison of Data from SEW to Other ABS Sources, presents comparisons between a number of key SEW data items and similar data items from other ABS sources. These sources include data collected in the LFS, which were reported in the May 2009 issue of Labour Force, Australia (cat. no. 6202.0) and data collected from the Adult Literacy and Life Skills Survey (ALLS), which were reported in the Adult Literacy and Life Skills Survey, Summary Results, Australia 2006 (cat. no. 4228.0). The comparison shows SEW data are broadly consistent with these ABS sources.
CONFIDENTIALISED UNIT RECORD FILE 34 Confidentialised unit record files (CURF) release confidentialised microdata from surveys, thereby facilitating interrogation and analysis of data. For the Education and Work survey, a basic CURF is released every two years and will be released for the 2009 survey. The Education and Work CURF was last released in 2007. For more details, refer to the 2007 SEW CURF, Technical Manual: Survey of Education and Work, Australia - Confidentialised Unit Record File, May 2007 (cat. no. 6227.0.30.002). PREVIOUS SURVEYS 35 Results of similar surveys have been published in previous issues. These surveys were conducted annually from February 1964 to February 1974, in May 1975 and 1976, in August 1977 and 1978, and annually in May since 1979. Results of previous surveys were published in Transition from Education to Work, Australia (cat. no. 6227.0) from 1964 to 2001. Since May 2002, the results of the survey have been published in Education and Work, Australia (cat. no. 6227.0). NEXT SURVEY 36 The ABS intends to conduct this survey again in May 2010. ACKNOWLEDGMENT 37 ABS publications draw extensively on information provided freely by individuals, businesses, governments and other organisations. Their continued cooperation is very much appreciated; without it, the wide range of statistics published by the ABS would not be available. Information received by the ABS is treated in strict confidence as required by the Census and Statistics Act 1905. RELATED PUBLICATIONS 38 Other publications which may be of interest include:
39 Current publications and other products released by the ABS are available from the ABS website <https://www.abs.gov.au>. The ABS also issues a daily upcoming release advice on the website that details products to be released in the week ahead. The National Centre for Education and Training theme page also contains a wealth of information and useful references. This site can also be accessed through the ABS website. Document Selection These documents will be presented in a new window.
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