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Advanced relationships between categories analysis as a qualitative research tool
Author(s) -
Rabinovich Merav,
Kacen Lea
Publication year - 2010
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/jclp.20693
Subject(s) - identification (biology) , qualitative research , psychology , quadrilateral , qualitative analysis , grounded theory , raw data , qualitative property , cognitive psychology , computer science , mathematics , statistics , engineering , machine learning , social science , ecology , sociology , structural engineering , finite element method , biology
The authors propose an advanced relationships between categories (RBC) model as an expansion of Tutty, Rothery, and Grinnell's (1996) qualitative tool for classifying RBC patterns as contained, temporal, and causal relationships. It is assumed that identification of the relationships obtained among categories of qualitative data paves the way for construction of a theory, even though few tools have been developed for this purpose to date. The advanced RBC model points to three additional relationship patterns: bilateral, trilateral, and quadrilateral relationships. These relationships reveal how the text itself links among its various components. The model serves as an innovative tool for systematic derivation of explanations based on the qualitative raw data, contributing to grounded theory and other interpretive studies. © 2010 Wiley Periodicals, Inc. J Clin Psychol: 66:1–11, 2010.