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| Presentation | 2017-03-16 11:15 Data Analysis for Multiple-Evaluation through Regression Model Akifumi Notsu (Oita-NHS), Katsuhiko Ishikawa (YGU)  HCS2016-109 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In performance assessment, multiple evaluators frequently assess identified performance, and this type of assessment data is called multiple-evaluation data. Reliability and traits of multiple-evaluation data has been analyzed thorough various types of test theory. In a context of educational assessment, in addition to findings about reliability of assessment, it would be required to analyze what factors influence the performance to get suggestions about future instruction. Present study is the case study in which the association between multiple-evaluation data and covariates is analyzed thorough regression analysis. Concretely, multiple report-scoring data is collected and the association between the data and the covariates of report-writer and evaluator are analyzed through regression analysis. It is revealed that at least regression analysis pull out severity of each evaluator, the strength of associations between evaluation-scores and covariates and its stability. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Multiple-evaluation data / Report-Scoring data / Regression analysis / Multi-level analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 524, HCS2016-109, pp. 107-112, March 2017. | |
| Paper # | HCS2016-109 | |
| Date of Issue | 2017-03-08 (HCS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | HCS2016-109 |
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| Conference Information | |
| Committee | HCS |
| Conference Date | 2017-03-15 - 2017-03-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | HCS |
| Conference Code | 2017-03-HCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Data Analysis for Multiple-Evaluation through Regression Model |
| Sub Title (in English) | |
| Keyword(1) | Multiple-evaluation data |
| Keyword(2) | Report-Scoring data |
| Keyword(3) | Regression analysis |
| Keyword(4) | Multi-level analysis |
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| 1st Author's Name | Akifumi Notsu |
| 1st Author's Affiliation | Oita University of Nursing and Health Sciences (Oita-NHS) |
| 2nd Author's Name | Katsuhiko Ishikawa |
| 2nd Author's Affiliation | Yamanashi Gakuin University (YGU) |
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| Speaker | Author-1 |
| Date Time | 2017-03-16 11:15:00 |
| Presentation Time | 25 minutes |
| Registration for | HCS |
| Paper # | HCS2016-109 |
| Volume (vol) | vol.116 |
| Number (no) | no.524 |
| Page | pp.107-112 |
| #Pages | 6 |
| Date of Issue | 2017-03-08 (HCS) |
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