文献,理論,および研究データを混合方法の研究に統合するためのコレージング統合手順
Ahtisham Younas1,2, Sergi Fàbregues3, Shahzad Inayat4
1Memorial University of Newfoundland, St. John's, Canada.
Journal of advanced nursing
|September 3, 2025
まとめ
この研究は,ミックス・メソッド・リサーチ (MMR) の研究データと文献と理論を結びつけるための新しいコラージング・インテグレーション手順を導入しています. このテクニックは,より厳格で統合された発見のためのデータ分析と解釈を強化します.
科学分野:
- 看護学研究方法論
- ミックスメソッド 研究統合
背景:
- ミックスメソッド・リサーチ (MMR) は,文献レビューと理論的側面の統合をしばしば無視しています.
- 既存のMMRの文献は,主に設計,フィールドワーク,分析,解釈の間の統合に焦点を当てています.
研究 の 目的:
- 文献と理論をMMRの研究データと結びつけるためのコラージング統合手順を提案し,説明する.
- MMR統合トライロジーにおける文献レビューと理論的側面の有意義な統合を強化する.
主な方法:
- 看護師主導の2つの探索的連続混合方法の研究でコラージング技術を開発し,適用しました.
- コラージング技術は,複数のデータ断片,図形,テキスト情報を 1 つの視覚表現に合成することを意味します.
主要な成果:
- コラージングは,データ,文献,理論の間の前後リンクの作成を容易にする.
- このテクニックは,統合されたデータから意味を生成し,推論とメタ推論を精製するのに役立ちます.
- 集中的なデータ分析を可能にし,プロセス全体に文献と理論の洞察を埋め込みます.
結論:
- コラージング統合手順は,MMRに意味のある統合のための新しい方法を提供します.
- 看護師の研究者は,効果的な統合のためにコラージングを利用し,文献レビューと理論的側面の厳格性を高めることができます.
- このテクニックは,見過ごされた次元を組み込むことで,より完全に統合されたMMR設計を促進します.
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