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Triangulation using a meta-matrix.

¹Nursing Systems, University of Wisconsin-Eau Claire, 105 Garfield Avenue, Eau Claire, WI 54702-4004, USA. wendlem@uwec.edu

Journal of Advanced Nursing

|September 1, 2001

Summary

The meta-matrix offers a novel approach for integrating quantitative and qualitative data in nursing research. This method enhances data analysis and pattern recognition, leading to deeper insights and new research questions.

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Area of Science:

Nursing Research
Mixed-Methods Research

Background:

Quantitative and qualitative data analysis are often separate due to differing scientific philosophies and methodologies.
Researchers commonly use triangulation to integrate findings from diverse data types.
Existing methods can present challenges in simultaneously considering all data.

Purpose of the Study:

To introduce the meta-matrix as a tool for triangulation in nursing research.
To demonstrate the utility of the meta-matrix in a practical research setting.

Main Methods:

An emerging methodology, the meta-matrix, was employed for data triangulation.
This approach allowed for the simultaneous consideration of all data within a study.

Main Results:

The meta-matrix facilitated integrated data analysis and pattern recognition across datasets.
Unexpected relationships were identified, enhancing comprehension of findings.
The method aided in formulating directions for future research.

Conclusions:

The meta-matrix presents a valuable alternative for secondary data analysis in mixed-methods studies.
It offers a structured approach to synthesizing diverse data, improving research outcomes.

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