The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
International Large-Scale Assessment Data: Issues in Secondary Analysis and Reporting
Abstract
The technical complexities and sheer size of international large-scale assessment (LSA) databases often cause hesitation on the part of the applied researcher interested in analyzing them. Further, inappropriate choice or application of statistical methods is a common problem in applied research using these databases. This article serves as a primer for researchers on the issues and methods necessary for obtaining unbiased results from LSA data. The authors outline the issues surrounding the analysis and reporting of LSA data, with a particular focus on three prominent international surveys. In addition, they make recommendations targeted at applied researchers regarding best analysis and reporting practices when using these databases.
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Cites
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Cited by
Fang, G., Chan, P. W. K., & Kalogeropoulos, P. (2021) · Sage Open · doi:10.1177/21582440211026951 · Cited by 37
The distributions of teacher qualification: A cross-national study
Qin, L., & Bowen, D. H. (2019) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2019.102084 · Cited by 19
Metadata
- Authors
- Rutkowski, L., Gonzalez, E., Joncas, M., & von Davier, M.
- Venue
- Educational Researcher
- Published
- 2010-03
- Volume
- 39
- Issue
- 2
- Pages
- 142-151
- ISSN
- 0013-189X (ISSN-L)
- 1935-102X
- OpenAlex
- W2090444608
- Cited by
- 507
- References
- 16
- FWCI
- 23.98
- Type
- journal article
- Language
- en
- Open access
- closed
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