Abstract

This paper highlights the opportunities of utilizing software programs that allow qualitative analysis. By using software supported content analysis in legal research, we argue that research findings can become more scientifically robust (for instance, objective, reproducible and transparent). Nevertheless, the methods to do so are largely unexplored. The purpose of this article is to explore the value of ATLAS.ti software in conducting content analysis in law, supported by a proof of concept of legal research. Despite some limitations of qualitative analysis software, we argue that it is an accessible and useful tool for legal research.

Highlights

  • By using software supported content analysis in legal research, we argue that research findings can become more scientifically robust

  • This paper argues that Computer Assisted Qualitative Document Analysis Software (CAQDAS) can be a useful tool for conducting empirical legal research

  • It discusses the use of Computer Assisted Qualitative Data Analysis Software (CAQDAS or QDAS), such as ATLAS.ti, QSR NVivo and MAXQDA as a solution to enhance the scientific validity of legal research

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Summary

Introduction

We present a generic research process consisting of (1) matching methods and research questions, (2) compiling source documents, (3) coding and (4) analysis and discussion on how these stages can be implemented in legal research (Section 2). It is further constrained by the technical functionalities of the CAQDAS program itself By using this generic research process, we seek to show the different possibilities for conducting software supported content analysis through one of the most prevalent CAQDAS programs: ATLAS.ti. Not a panacea to empirical legal scholarship, ATLAS.ti is a low-investment high-return research tool with great potential utility to transform legal research.[1]

Problem description
Solution description
Description of a generic research process
Epistemological fit
The identification of primary sources
The coding process
Analysis – is a law-specific approach necessary?
The research design: “epistemological fit”
Selecting cases
Coding cases
Analyzing cases
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