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Comparing apples with oranges? An approach to link TIMSS and the National Educational Panel Study in Germany via equipercentile and IRT methods

Authors :
Timo Ehmke
Christoph Duchhardt
Annika Nissen
Olaf Köller
Source :
Nissen, A, Ehmke, T, Köller, O & Duchhardt, C 2015, ' Comparing apples with oranges? An approach to link TIMSS and the National Educational Panel Study in Germany via equipercentile and IRT methods ' Studies in Educational Evaluation, vol 47, pp. 58–67 . DOI: 10.1016/j.stueduc.2015.07.003, Nissen, A, Ehmke, T, Köller, O & Duchhardt, C 2015, ' Comparing apples with oranges? An approach to link TIMSS and the National Educational Panel Study in Germany via equipercentile and IRT methods ', Studies in Educational Evaluation, vol. 47, pp. 58–67 . https://doi.org/10.1016/j.stueduc.2015.07.003
Publication Year :
2015
Publisher :
Elsevier BV, 2015.

Abstract

The aim of this linking study is to classify the National Educational Panel Study (NEPS) according to the criterion based reference frame of the Trends in International Mathematics and Science Study (TIMSS). One requirement for a strong linking is a high conceptual overlap of the frameworks. The results of the comparison between NEPS and TIMSS indicate a high overlap. To link the studies the equipercentile equating and an IRT linking approach are compared. The results show that both methods showed similar descriptive statistics and satisfying classification consistency. Nevertheless, the equipercentile equating has small advantages and is therefore more suitable. Thus, inferences are possible on a population level, but the results should not be reported or interpreted on an individual level. The aim of this linking study is to classify the National Educational Panel Study (NEPS) according to the criterion based reference frame of the Trends in International Mathematics and Science Study (TIMSS). One requirement for a strong linking is a high conceptual overlap of the frameworks. The results of the comparison between NEPS and TIMSS indicate a high overlap. To link the studies the equipercentile equating and an IRT linking approach are compared. The results show that both methods showed similar descriptive statistics and satisfying classification consistency. Nevertheless, the equipercentile equating has small advantages and is therefore more suitable. Thus, inferences are possible on a population level, but the results should not be reported or interpreted on an individual level.

Details

ISSN :
0191491X
Volume :
47
Database :
OpenAIRE
Journal :
Studies in Educational Evaluation
Accession number :
edsair.doi.dedup.....30591d9e2d98c6ce2cd12c005226f6cb
Full Text :
https://doi.org/10.1016/j.stueduc.2015.07.003