Data user guide
- 1. Introduction
- 2. What is LSAC?
- 3. Instruments
- 4. The LSAC data release
- 5. File structure
- 6. Variable naming conventions
- 7. Documentation
- 8. Data transformations
- 9. Confidentialisation
- 10. Data imputation
- 11. Survey methodology
- 12. Important issues for data analysis
- 13. User support and training
- Appendix: LSAC variable naming conventions
This data user guide is a reference tool for the users of the Growing Up in Australia: the Longitudinal Study of Australian Children (LSAC) datasets.
This document is intended to provide the necessary information to be able to use the LSAC data, and includes the survey methodology, file structure and variable naming conventions. Particular issues are highlighted to ensure data analysts apply the LSAC data appropriately in their research.
The following documentation is also useful to data users and is available on the study website:
- questionnaires and interview specifications marked with variable names for Computer Assisted Interview (CAI) and Computer Assisted Telephone Interviews (CATI) instruments)1
- a data dictionary
- technical papers on weighting, non-response and other issues
- data issues papers
- item rationale papers
Data users should read the 'Important issues for data analysis' section carefully. It outlines particular aspects of the sample design that have important implications for interpreting analyses from the study.
Further information on data usage is contained in the Data users information pages on the LSAC website.
Feedback about this data user guide is welcome. If there is something that you would find useful that is currently not included, or if you had difficulty understanding any of the guide's content, please let us know by emailing us at: email@example.com.
1 Feedback from data users suggests that marked questionnaires with interview specifications are often the best way to find sections relevant to proposed research topics, and to illustrate the breadth of information available in the study.