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SCOPE AND COVERAGE
SISCA 6000 Rest of the world
ANZSIC06 Division O Public administration and safety
ANZSIC06 Division P Education and training
ANZSIC06 Groups 624 (Financial asset investing) and 633 (Superannuation funds)
ANZSIC06 Groups 954 (Religious services) and 955 (Civic, professional and other interest group services)
ANZSIC06 Subdivision 96 Private households employing staff
The frame for the MCM is a subset of the ABSBR and includes employing businesses only. These are defined as those businesses which register for the ATO's Pay As You Go Withholding (PAYGW) scheme. It is not unusual for some of these 'employing businesses' to have zero employment at various times during the reporting period. The frame is updated quarterly to take account of new businesses, businesses which have ceased employing, changes in employment levels, changes in industry and other general business changes. Businesses which have ceased employing are identified when the ATO cancels their ABN and/or PAYGW registration. In addition, businesses with less than 50 employees, which did not remit under the PAYGW scheme in each of the previous five quarters, are removed from the frame.
Collection of data were based on a random sample of approximately 14,500 businesses via online forms or mail-out questionnaires. The sample was stratified by industry and an employment-based size indicator. All businesses on the ABSBR identified as having 300 or more employees were included in the sample. The 2015-16 MCM was despatched from late October 2016.
The MCM CURF includes a weight variable which can be used to calculate population or cross-sectional estimates; however, users should note that the MCM CURF was designed primarily for micro data analysis.
The MCM is populated from data directly collected via the ABS Business Characteristics Survey - Management Capabilities Module, 2015-16.
The volume of data included in the MCM is substantial and resource constraints mean it was not possible to quality assure each individual item.
QUALITY ASSURANCE APPROACH
The approach to quality assurance for the MCM aimed to make the best use of ABS resources to meet user prioritised requirements - both in terms of data quality and timing of release. The approach specifies the level and degree to which each data item is quality assured, noting that only some of the items in the MCM were able to be quality assured to the highest standards. Most of the data contained in the MCM CURF are 'as reported' by businesses with limited editing and cross-validation applied. The qualitative nature of most of the categorical information included in the MCM also contributes to the difficulty of quality assuring these items.
While every effort is made to aid reporting accuracy through form design and checking of a selection of the 'more important' items, the MCM is subject to reporting error and users should take this into account when undertaking analysis.
There are two reasons why data may be missing in the MCM CURF:
1. Question not completed
It is common in surveys for there to be some degree of missing information as a result of forms not being completed. Forms which are received without being completed at all (i.e. blank forms) are returned to respondents for completion. Forms which are received partly completed are not returned, therefore there is some missing data in the MCM CURF. The ABS has not imputed for missing data, and, where a response could be expected, the variable has been flagged as missing.
2. Question not required to be completed
There are a number of topics in the MCM which use filter questions to determine which other questions need to be answered by the respondent. Where a business was not required to complete questions, the variables are flagged as not requiring a response. These items are coded as missing due to sequencing.
These documents will be presented in a new window.
8172.0.55.001 - Microdata: Management and Organisational Capabilities of Australian Business, 2015-16 Quality Declaration
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 26/02/2018 First Issue