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ERIC Number: EJ1107223
Record Type: Journal
Publication Date: 2016-Sep
Pages: 12
Abstractor: As Provided
ISSN: EISSN-1305-8223
An Application of Multivariate Generalizability in Selection of Mathematically Gifted Students
Kim, Sungyeun; Berebitsky, Dan
EURASIA Journal of Mathematics, Science & Technology Education, v12 n9 p2587-2598 Sep 2016
This study investigates error sources and the effects of each error source to determine optimal weights of the composite score of teacher recommendation letters and self-introduction letters using multivariate generalizability theory. Data were collected from the science education institute for the gifted attached to the university located within in a capital city in Korea. The results were as follows. First, error sources for the students were relatively large suggesting that the score variances explained the differences in giftedness among the students. Second, based on the maximum generalizability coefficient for teacher recommendation letters and self-introduction letters, the optimal weight ratio should adjust to 0.7:0.3 from 0.5:0.5 in the original institution weights. These results are specific to the selection assessment instruments considered in this study; however, the methodology applied can be utilized in other selection instruments developed by many institutions.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: South Korea (Seoul)
Grant or Contract Numbers: N/A