Using ATLAS.ti to Facilitate Data Analysis for a Systematic Review of Leadership Competencies in the Completion of a Doctoral Dissertation

16 Pages Posted: 17 Oct 2016

See all articles by John Lewis

John Lewis

United States Coast Guard Academy; Salve Regina University; University of Maryland University College (UMUC) - Graduate School

Date Written: August 10, 2016

Abstract

The author used ATLAS.ti to conduct a systematic review of the literature on leadership competencies in fields undergoing rapid change to complete his dissertation. Studies were imported to ATLAS.ti for first, second and third stage analysis which led to the creation of final themes and concepts. The use of ATLAS.ti for coding encouraged a cyclical and iterative approach to data analysis that would have been difficult to accomplish through note cards, word processing, or spreadsheet applications. ATLAS.ti assisted with using meta-ethnography as the means of synthesizing both qualitative and quantitative research. ATLAS.ti provided the ability to make chains of multiple codes and linking of quotations to create networks, which was vital to third stage coding. These network diagrams were qualitative visual representations of the data and greatly assisted with third stage coding. Concepts, themes, and patterns emerged from the network diagrams. Also useful at this stage for identifying patterns in the data was mapping of co-occurring codes. ATLAS.ti allows co-occurring codes to be retrieved and visualized through network and mapping tools. Finally, ATLAS.ti was used to create hyperlinked maps of quotations which assisted with the analysis of proposition three of this dissertation.

Keywords: ATLAS.ti, systematic review, qualitative data analysis, quantitative data analysis, coding, meta-ethnography, network diagrams, co-occurring codes, hyperlinking, evidence-based research

Suggested Citation

Lewis, John, Using ATLAS.ti to Facilitate Data Analysis for a Systematic Review of Leadership Competencies in the Completion of a Doctoral Dissertation (August 10, 2016). Available at SSRN: https://ssrn.com/abstract=2850726 or http://dx.doi.org/10.2139/ssrn.2850726

John Lewis (Contact Author)

United States Coast Guard Academy ( email )

31 Mohegan Ave Pkwy
New London, CT 06320
United States

Salve Regina University ( email )

Newport, RI 02840-4192
United States

University of Maryland University College (UMUC) - Graduate School ( email )

United States

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