アイテムレスポンスの理論モデル化 特徴 感情的知能のアンケート-短い形式:アイテムの簡素化,差異的なアイテムの機能,およびスウェーデンの多センター横断研究における妥当性
Anna M Dåderman1, Björn N Persson2, Inger Ahlstrand3
1Department of Social and Behavioral Studies, University West, Trollhättan, Sweden.
BMC psychology
|August 29, 2025
まとめ
この研究では,アイテム応答理論 (IRT) を使用した特性の感情的知能アンケート-ショートフォーム (TEIQue-SF) を改良し,特性の感情的知能を評価するためのより短い,有効な12項目の尺度を作成しました.
科学分野:
- 心理的な測定
- サイコメトリック
- 感情的インテリジェンス 研究
背景:
- 特徴の感情的知能 (EI) は,一般的に30項目の特徴の感情的知能アンケート-ショートフォーム (TEIQue-SF) を使用して評価されます.
- 以前の項目応答理論 (IRT) 研究では,TEIQue-SFのいくつかの項目が劣っていることが示されました.
- この研究は,不適切な項目を特定し除去することによって,TEIQue-SFを心理的に精錬し,最適化することを目的とした.
研究 の 目的:
- IRTを使用してTEIQue-SFを心理的に評価し,精錬する.
- 劣悪なアイテムを特定し排除する.
- 性別による差異的な項目機能 (DIF) を精製したバージョンで検証する.
- TEIQue-SFのスウェーデン語版をさらに検証する.
主な方法:
- スウェーデンのヘルスケアとソーシャルワークの1年生845人を対象にした横断調査です.
- グラデッドレスポンスモデル (GRM) と2パラメータロジスティックモデルを用いたアイテムレスポンス理論 (IRT) モデリング.
- 限界的信頼性,差異的な項目機能 (DIF),内部一貫性 (Cronbach's alpha),および健康関連の測定値との収束的有効性の評価.
主要な成果:
- IRTモデリングにより,性能の低い項目が特定され,その結果12項目のTEIQue-SFが精製されました.
- 12項目のバージョンは,オリジナルと高い相関性 (r=0.94),良好な信頼性,最小限のDIF (1項) を示した.
- 30項目のバージョンと12項目のバージョンは,スウェーデンの文脈で健康関連の測定値と強い収束性を示しました.
結論:
- 12項目のTEIQue-SFは,特性のEIを評価するための簡潔で正確な有効なツールです.
- 洗練された測定は,全体的な概念的構造を維持しながら,特性のEIを効果的に捕捉します.
- IRTと有効性試験は12項目のTEIQue-SFの有効性を確認しています.
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