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ArtikelPromoting Positive Youth Development: Relational Data Analysis (RDA)  
Oleh: Kurtines, William M. ; Montgomery, Marilyn J. ; Arango, Lisa Lewis ; Kortsch, Gabrielle ; Albrecht, Richard ; Garcia, Arlene ; Ritchie, Rachel ; Eichas, Kyle
Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Adolescent Research (http://jar.sagepub.com/) vol. 23 no. 3 (May 2008), page 291-309.
Topik: Promoting Positive Youth Development; Relational Data Analysis (RDA); Mixed Quantitative/Qualitative Research; Qalitative Methods
Fulltext: JJ81V23N3P291.pdf (425.86KB)
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: JJ81.14
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
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Isi artikelThis article provides an overview of the origins and use of relational data analysis (RDA). RDA is a multidimensional, multiphasic framework for unifying data analytic strategies across dimensions (quantitative/qualitative, causal/structural, observation/interpretation, etc.) and phases of analyses (conceptual, theoretical, and research analyses). RDA was developed within a relational metatheoretical methodological framework for overcoming the splits that have historically characterized methodological metatheory. The aim was to formulate a practical, ready-at-hand framework that the developmental scientist could use to unify the analysis of developmental change in real life "applied" settings as well as clinic and laboratory settings.
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