TY - JOUR
T1 - Can structural equation models in second language testing and learning research be successfully replicated?
AU - In'nami, Yo
AU - Koizumi, Rie
N1 - Funding Information:
We thank the four authors for kindly sharing their data, Yuko Hoshino, Steven J. Ross, Gary J. Ockey, Stephen G. Sireci, and the anonymous reviewers for their valuable comments on earlier versions of this paper. This research was supported by Grants-in-Aid for Scientific Research (No. 20820020) provided by Japan Society for the Promotion of Science.
PY - 2010/7
Y1 - 2010/7
N2 - Because structural equation models are widely used in testing and assessment, investigation into the accuracy of such models may help raise awareness of the value of reanalysis or replication. We focused on second language testing and learning studies and examined: (a) To what extent is information necessary for replication provided by authors? (b) To what extent can the original models be successfully replicated? Regarding (a), we e-mailed authors of 31 articles that did not contain information needed to replicate the study and asked them for the missing information. We obtained data from only four authors. Regarding (b), we succeeded in replicating 89% of the models in the preliminary analysis, 87% to 100% of fit indices, and 94% of parameter estimates. The results suggest that for the most part, structural equation modeling research reported in second language testing and learning research is accurate.
AB - Because structural equation models are widely used in testing and assessment, investigation into the accuracy of such models may help raise awareness of the value of reanalysis or replication. We focused on second language testing and learning studies and examined: (a) To what extent is information necessary for replication provided by authors? (b) To what extent can the original models be successfully replicated? Regarding (a), we e-mailed authors of 31 articles that did not contain information needed to replicate the study and asked them for the missing information. We obtained data from only four authors. Regarding (b), we succeeded in replicating 89% of the models in the preliminary analysis, 87% to 100% of fit indices, and 94% of parameter estimates. The results suggest that for the most part, structural equation modeling research reported in second language testing and learning research is accurate.
KW - Replication
KW - Second language learning
KW - Second language testing
KW - Structural equation modeling
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U2 - 10.1080/15305058.2010.482219
DO - 10.1080/15305058.2010.482219
M3 - Article
AN - SCOPUS:79960485169
SN - 1530-5058
VL - 10
SP - 262
EP - 273
JO - International Journal of Testing
JF - International Journal of Testing
IS - 3
ER -