Secondary Analysis with Minority Group Data
A Research Team’s Account of the Challenges
DOI:
https://doi.org/10.3138/cjpe.0022.006Abstract
Understanding the challenges associated with conducting secondary analysis of large-scale assessment data is important for identifying the strengths and weaknesses of various statistical models, and it can lead to the improvement of this type of research. The challenges encountered in the analysis of assessment data from subpopulations may be of particular value for this purpose. To date, few studies have discussed the problems associated with the secondary analysis of large-scale assessment data. By relating the experiences of a research team that engaged in several projects involving secondary analyses of linguistic minority population data from three different large-scale assessment programs, this article aims to help readers understand the practical, conceptual, and technical/statistical challenges that can be encountered.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2008 Marielle Simon, Nicole Roberts, Robin Tierney, Renée Forgette-Giroux

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors contributing to The Canadian Journal of Program Evaluation agree to release their articles under the Creative Commons Attribution-Noncommercial 4.0 (CC-BY-NC) license. This licence allows this work to be copied, distributed, remixed, transformed, and built upon for any purpose provided that appropriate attribution is given, a link is provided to the license, and changes made were indicated.
Authors retain copyright of their work and grant the journal right of first publication.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.





