Rchr
J-GLOBAL ID:201801018018104860
Update date: Sep. 26, 2024
Kazuhiro Yamaguchi
Kazuhiro Yamaguchi
Affiliation and department:
Homepage URL (1):
https://sites.google.com/site/kazzstat/
Research field (2):
Statistical science
, Educational psychology
Research keywords (2):
Psychometrics
, Educational measurement
Research theme for competitive and other funds (8):
- 2023 - 2027 漢字の読みが困難な児童生徒の「漢字の読み処理」を評価できる認知診断テストの開発
- 2023 - 2027 21世紀型の学力・学習力の測定と向上:新たな評価の開発からデジタルツールの活用まで
- 2021 - 2025 学習の躓きを診断し克服するための統計学的方法:デジタル問題集の基盤開発と実践
- 2022 - 2025 Development and application of cognitive diagnosis models for tailor-made learning environment
- 2020 - 2024 算数・数学における「深い学び」を促進する授業実践・評価の統合的システムの開発
- 2019 - 2023 学力テストをいかにして授業改善につなげるか:阻害要因の検討から学校での実践まで
- 2018 - 2021 Development of test models for cognitive diagnosis and learning supports using information terminals
- 2015 - 2019 Empirical research about the accuracy of teachers' predictions about students' performance: From theory to educational practices.
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Papers (24):
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Kazuhiro Yamaguchi, Jihong Zhang. Fully Gibbs Sampling Algorithms for Bayesian Variable Selection in Latent Regression Models. Journal of Educational Measurement. 2023. 60. 2. 202-234
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Kazuhiro Yamaguchi, Alfonso J. Martinez. Variational Bayes inference for hidden Markov diagnostic classification models. British Journal of Mathematical and Statistical Psychology. 2023
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Kazuhiro Yamaguchi. Bayesian Analysis Methods for Two-Level Diagnosis Classification Models. Journal of Educational and Behavioral Statistics. 2023. 107699862311735-107699862311735
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Kazuhiro Yamaguchi. Current Status of Open Science and Statistical Analysis in The Japanese Journal of Educational Psychology. The Annual Report of Educational Psychology in Japan. 2023. 62. 143-164
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藤田和也, 山口一大. Q学習モデルにおけるモデルリカバリ率の確認と改善. 筑波大学心理学研究. 2023. 61. 53. 61
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MISC (2):
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Yamaguchi Kazuhiro. ome model comparisons in c ognitive diagnostic m odels : Relatively small s a mple situation with simulation s tudy. Working Paper Series in Young Scholar Training Program. 2018. 24. 1-12
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石川善樹, 植村理, 外山理沙子, 分寺杏介, 松岡亮二, 伊藤寛武, 田端紳, 中室牧子, 星野崇宏, 山口一大. 「子どもの能力を計測するための学力テストの現在と展望」-エビデンスに基づく教育政策に向けて-. 2017. 17. 1-57
Professional career (3):
- 博士(教育学) (東京大学)
- 修士(教育学) (東京大学)
- 学士(心理学) (筑波大学)
Work history (8):
- 2021/03 - 現在 University of Tsukuba Faculty of Human Sciences
- 2018/04 - 2021/02 日本学術振興会 受入先研究機関:法政大学 特別研究員 (PD)
- 2019/04 - 2021/01 The University of Iowa Visiting Scholar
- 2018/09 - 2019/03 Tokyo Kasei University
- 2017/04 - 2019/03 Tokai University School of Letters, Department of Psychological and Sociological Studies
- 2017 - 2018 東京大学高大接続研究開発センター 追跡部門 特任研究員
- 2016 - 2018 The University of Tokyo Faculty of Education
- 2014 - 2018 Senshu University
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Awards (5):
- 2023/08 - The Behavior Metric Society Hayashi Chikio Award (Excellence Award)
- 2023/04 - American Educational Research Association An Outstanding Reviewer for 2022 for Journal of Educational and Behavioral Statistics
- 2020/09 - The Behavior Metric Society Hidano-Tadashi・Mizuno Kinji incentive award
- 2017/09 - The Japan Association for Research on Testing Presentation Award
- 2015/09 - The Japan Association for Research on Testing Presentation Award
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