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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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言語的類似性を介したスコアリング信頼性の再概念化

Ji Yoon Jung1, Ummugul Bezirhan1, Matthias von Davier1

  • 1Boston College, Chestnut Hill, MA, USA.

Educational and psychological measurement
|December 22, 2025
PubMed
まとめ

この研究では、大規模評価におけるスコアリング信頼性の評価のための新しい方法である言語統合信頼性監査(LiRA)を紹介します。LiRAは、従来の Сравнительный анализ методов оценки надежности в международных исследованиях, таких как PISA и TIMSS, показал, что они сталкиваются с трудностями при оценке надежности в многоязычных наборах данных. LiRA, напротив, обеспечивает более полное и систематическое оценивание надежности, охватывая как отдельные элементы, так и страны и языки, при этом сохраняя основные принципы традиционной оценки надежности.

キーワード:
ILSAsクロスボーダーのスコアリングの一貫性スコアリング信頼性意味的類似性加重多数決

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科学分野:

  • 教育測定
  • 心理測定
  • 計算言語学

背景:

  • 大規模評価における従来のクロスボーダーのスコアリング信頼性は、二重スコアリングに依存していますが、多言語サンプルは限られています。
  • 既存の方法は、多様な言語データセット全体で信頼性を効率的に推定することに課題があります。

研究 の 目的:

  • 包括的なスコアリング信頼性推定のための新しい方法である言語統合信頼性監査(LiRA)を導入すること。
  • 大規模で多言語の評価コンテキストにおけるデータセット全体への信頼性分析を拡張すること。

主な方法:

  • LiRAは、類似応答内の意味的整合性を分析することにより、各応答の2番目のスコアを自動的に生成します。
  • 加重多数決メカニズムがコンセンサススコアを決定し、堅牢な信頼性測定を保証します。
  • この方法は、データセット全体に適用できるように設計されており、多言語応答に対応します。

主要な成果:

  • LiRAは、スコアリング信頼性のより包括的で体系的な推定を提供します。
  • 信頼性は、項目、国、言語レベルで効果的に評価されます。
  • この方法は、従来の信頼性推定のコア原則を維持します。

結論:

  • LiRAは、国際評価におけるスコアリング信頼性への高度でスケーラブルなアプローチを提供します。
  • この方法は、多様な言語コンテキスト全体でのスコアリング品質の体系的な評価を強化します。
  • LiRAは、多言語教育データの心理測定分析における重要な進歩を表しています。