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Journal of Adolescent Research, Vol. 23, No. 3, 291-309 (2008)
DOI: 10.1177/0743558408314379
© 2008 SAGE Publications

Promoting Positive Youth Development

Relational Data Analysis (RDA)

William M. Kurtines

Florida International University

Marilyn J. Montgomery

Florida International University

Lisa Lewis Arango

Florida International University

Gabrielle Kortsch

Málaga, Spain

Richard Albrecht

Florida International University

Arlene Garcia

Florida International University

Rachel Ritchie

Florida International University

Kyle Eichas

Florida International University

This 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.

Key Words: promoting positive youth development • relational data analysis (RDA) • mixed quantitative/qualitative research • qualitative methods


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L. L. Arango, W. M. Kurtines, M. J. Montgomery, and R. Ritchie
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 Journal of Adolescent ResearchHome page
W. M. Kurtines, M. J. Montgomery, L. Ferrer-Wreder, S. L. Berman, C. C. Lorente, and W. K. Silverman
Promoting Positive Youth Development: Implications for Future Directions in Developmental Theory, Methods, and Research
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