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個人内変動、いかに測定するか?その方法を数え上げよう
Juliana Wall1, Kaylee Litson1, Ioannis Pavlidis2
1Department of Psychology, University of Houston, Houston, TX, USA.
The Clinical neuropsychologist
|December 17, 2025
まとめ
個人内変動(IIV)の理解には、その種類と指標を慎重に考慮する必要があります。IIVの異なる測定値は、学業達成度に対する様々な関係性と予測力を示しており、明確な操作化の必要性を強調しています。
科学分野:
- 認知心理学
- 心理測定学
- 教育心理学
背景:
- 個人内変動(IIV)は、認知プロセスを理解する上で重要である。
- 既存の研究では、IIVの多様な概念化と操作化がしばしば用いられる。
- 異なるIIV指標と、学業達成度のような結果に対するそれらの予測妥当性との関係は、さらなる調査を必要とする。
研究 の 目的:
- 個人内変動(IIV)の異なる種類と指標との間の相互関係を調査すること。
- 様々なIIV操作化の予測的有用性を学業達成度について評価すること。
- IIV測定のための概念的および方法論的考慮事項を明確にすること。
主な方法:
- 複数の指標(標準偏差、変動係数、残差化標準偏差)を用いて、3種類のIIV(不一致、分散、不一致の分散)を計算した。
- 238人の若年成人における6つの認知および数学関連測定値の内外でIIVを評価した。
- 各測定値について、スコアと応答時間を分離し、それらの独自の寄与を分析した。
主要な成果:
- 変動の指標は相互に関連していたが、一貫性はなかった。
- 不一致のIIV指標が学業達成度を予測する上での重要性は、特定の指標と主要スコアの包含に大きく依存した。
- 分散および不一致の分散指標はしばしば有意な予測因子であったが、主要スコアがモデルに含まれるとこの効果は減少した。
結論:
- 複数のIIVの種類と指標の同時検査は、それらの測定と予測における複雑さを明らかにする。
- IIVの特定の種類、選択された指標(特に分散)の根拠、およびタイミングとともにスコアを含めることを明確にすることが不可欠である。
- IIV測定の標準化は、一般化可能性を高め、将来の心理測定および臨床研究を導くだろう。
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