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Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

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Published on: November 22, 2019

Advanced relationships between categories analysis as a qualitative research tool.

Merav Rabinovich¹, Lea Kacen

¹The Spitzer Department of Social Work and the Israeli Center for Qualitative Research of People and Societies (ICQM), Ben-Gurion University of the Negev, Beersheba, Israel. mrav@bgu.ac.il

Journal of Clinical Psychology

|June 8, 2010

Summary

This summary is machine-generated.

This study introduces an advanced Relationships Between Categories (RBC) model. This qualitative data analysis tool expands existing methods to systematically derive explanations from raw data, aiding theory construction.

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Area of Science:

Qualitative Data Analysis
Grounded Theory Methodology
Social Sciences Research Methods

Background:

Existing qualitative tools for classifying relationships between categories are limited.
Theory construction from qualitative data requires robust methods for identifying inter-category links.
Tutty, Rothery, and Grinnell (1996) provided a foundational qualitative tool for Relationships Between Categories (RBC) patterns.

Purpose of the Study:

To propose an advanced Relationships Between Categories (RBC) model.
To expand upon existing qualitative tools for classifying RBC patterns.
To provide a systematic method for deriving explanations from qualitative raw data.

Main Methods:

Expansion of the Tutty, Rothery, and Grinnell (1996) qualitative tool.
Introduction of three additional RBC patterns: bilateral, trilateral, and quadrilateral relationships.
Focus on how textual components link to reveal underlying relationships.

Main Results:

The advanced RBC model identifies contained, temporal, causal, bilateral, trilateral, and quadrilateral relationship patterns.
Demonstrates how the text's structure reveals connections among its components.
Offers a systematic approach to deriving explanations directly from qualitative data.

Conclusions:

The advanced RBC model is an innovative tool for qualitative data analysis.
It contributes to grounded theory and other interpretive research by facilitating theory construction.
The model enhances the systematic derivation of explanations from qualitative raw data.