Longitudinal Study of Indigenous Children (LSIC) technical report: education
Survey
LSIC
Author(s)
Date Issued
2019
Pages
82
Abstract
This report evaluates the education measures in the Longitudinal Study of Indigenous Children (LSIC).
Education measures in the LSIC were found to be internally valid and perform as expected. The
LSIC is a robust dataset that, if used carefully, can improve our understanding of the development of
Indigenous children, and help design good public policy. For analysts, we recommend using the data
with confidence, while remaining aware that some variables perform better than others and that models
using the education measures (especially those specific to the LSIC) tend to have low explanatory
power. We also recommend taking advantage of the longitudinal data rather than the cross-sectional
data. For reviewers of papers based on LSIC data, we recommend taking into account the unique
circumstances of the survey, and that models will be estimated with low precision and with variables
that differ from those collected in other datasets. Finally, for policy makers, we recommend making
decisions using longitudinal research and considering funding a top-up sample.
Education measures in the LSIC were found to be internally valid and perform as expected. The
LSIC is a robust dataset that, if used carefully, can improve our understanding of the development of
Indigenous children, and help design good public policy. For analysts, we recommend using the data
with confidence, while remaining aware that some variables perform better than others and that models
using the education measures (especially those specific to the LSIC) tend to have low explanatory
power. We also recommend taking advantage of the longitudinal data rather than the cross-sectional
data. For reviewers of papers based on LSIC data, we recommend taking into account the unique
circumstances of the survey, and that models will be estimated with low precision and with variables
that differ from those collected in other datasets. Finally, for policy makers, we recommend making
decisions using longitudinal research and considering funding a top-up sample.
URI (Link)
ISBN
ISSN 2209-184X, ISBN 978-1-925715-18-7
Type
Reports and technical papers
