Study Number 6074 - Quarterly Labour Force Survey, July - September, 2008
NEW EDITION INFORMATION
For the third edition (April 2010) data have been reweighted using the latest population estimates (2009), and the file contains new weighting variables, pwt09 and piwt09, accordingly. Further details about the 2009 reweighting may be found in the documentation.
DATA PROCESSING NOTES
Data Archive Processing Standards
The data were processed to the UK Data Archive's A* standard. This is the
Archive's highest standard, and means that an extremely rigorous and
comprehensive series of checks was carried out to ensure the quality of the data
and documentation.�Firstly, checks were made that the number of cases and
variables matched the depositor's records. Secondly, checks were made that all
variables had comprehensible variable labels and all nominal (categorical)
variables had comprehensible value labels. Where possible, either with reference
to the documentation and/or in communication with the depositor, labels were
accordingly edited or created. Thirdly, logical checks were performed to ensure
that nominal (categorical) variables had values within the range defined (either
by value labels or in the depositor's documentation). Lastly, any data or
documentation that breached confidentiality rules were altered or suppressed to
All notable and/or outstanding problems discovered are detailed under the 'Data
and documentation problems' heading below.
Data and documentation problems
Age and Age Bands:
Users should note that while the variable AGE (Age in years) has no missing cases, variable AGES (Age bands) contains 3,000+ missing cases, and so should be treated with caution. If users wish to create their own age band variable, this can be done relatively easily from AGE.
Missing value labels:
Variable ICDM has no value labels.
Variable NATO7 has no labels for cases with a value of 663 and 951.
Variable USUWRKM1 has no label for cases with a value of 4.
Data conversion information
From January 2003 onwards, almost all data conversions have been performed
using software developed by the UKDA. This enables standardisation of the
conversion methods and ensures optimal data quality. In addition to its own data
processing/conversion code, this software uses the SPSS and Stat/Transfer
command processors to perform certain format translations. Although data
conversion is automated, all data files are also subject to visual inspection by
a UKDA data processing officer.
With some format conversions data, and more especially internal metadata (i.e.
variable labels, value labels, missing value definitions, data type
information), will inevitably be lost or truncated owing to the differential
limits of the proprietary formats.�A UKDA Data Dictionary file (in rich text
format), corresponding to each data file, is usually provided for viewing and
searching the internal metadata as it existed in the originating format. These
files are called:
[data file name]_UKDA_Data_Dictionary.rtf
Important information about the data format supplied
The links below provide important information about the format in which you have
been supplied the data. Some of this information is specific to the ingest
of the data, that is the format in which the UKDA was supplied the
data in. The ingest format for this study was
Please click below to find out information about the format that you have
been supplied the data in
Tab-delimited text (*.tab)
MS Excel (*.xls files)
SAS (supplied as *.dat and *.sas)
MS Access (*.mdb files)
Conversion of documentation formats
Electronic and paper documentation supplied with this study is usually
incorporated into the UKDA User Guide (in PDF format). The conversion programmes
used are the latest versions of Adobe PDF Writer for electronic documentation
and Adobe Paper Capture (Acrobat 'plugin' version) for paper documentation.
Occasionally, some�of the electronic documentation cannot be usefully converted
to PDF (e.g. MS Excel files with wide worksheets) and this is supplied in�a more
appropriate format. All User Guides are fully bookmarked.