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[How to relate concepts and data] | JoVE Visualize

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Information And Computing Sciences

[How to relate concepts and data]

Jacques Angot, Patricia Milano

Recherche En Soins Infirmiers|May 3, 2005

View abstract on PubMed

Summary

Researchers bridge the gap between theory and data through a translation process. This involves measurement to convert concepts into data and abstraction to convert data back into concepts.

Area of Science:

Social Sciences
Methodology

Background:

Connecting theoretical concepts with empirical data is a critical research challenge.
This process involves translating abstract ideas into measurable data and vice versa.

Purpose of the Study:

To elucidate the translation procedure linking concepts and data in research.
To provide a methodological framework for designing concept-data translation processes.

Main Methods:

The study outlines a two-part translation procedure: measurement and abstraction.
Measurement involves selecting instruments or indicators to operationalize concepts.
Abstraction involves coding and classification to synthesize data into concepts.

Main Results:

Successful research hinges on effectively translating between conceptual and empirical realms.
The article details the distinct yet interconnected roles of measurement and abstraction.

Conclusions:

A robust translation process, encompassing measurement and abstraction, is essential for valid research.
Researchers can design their translation processes using theoretical guidance and practical examples.

Data Management And Data Science

Data Engineering And Data Science

[how To Relate Concepts And Data]