Choosing a qualitative data analysis tool: a comparison of NVivo and Leximancer

Abstract

As the use and availability of qualitative software analysis tools increases so does ambiguity regarding the choice of the most appropriate software in sport management research. This paper uses NVivo and Leximancer to analyse the same set of data derived from interviews with sport management experts on high performance sport to showcase the differences in findings depending on the type of software used. The findings alert sport management and social science researchers to the importance of closely examining the choice of software for qualitative data analysis. Researchers may base their decision on aspects such as the type and size of data set, their competence and skills in data interpretation and the level of engagement with data analysis they plan on undertaking. This paper discusses the implications for researchers in the sport management field using these tools for data analysis and highlights the value that software can add to the research effort.

The past is prologue: Moving on from Culture’s Consequences

“…Leximancer derived concept identification has exhibited high face validity, high reliability and reproducibility and thematic clustering without facing the biases associated with manually coded text analyses (Smith & Humphreys, 2006). It is found to be superior to other approaches, such as NVIVO, particularly when the goal is to quickly discover key themes and the relationship between concepts (Sotiriadou, Brouwers & Le, 2014).…”

Validation of an e-Learning 3.0 Critical Success Factors Framework: A Qualitative Research

“…Additionally, codes and subcodes can be connected by using relationship nodes, which facilitates the organisation of data into groups of codes (Franzosi, Doyle, McClelland, Rankin, & Vicari, 2013). Nvivo is particularly advantageous in studies that use small samples and semi-structured interviews (Sotiriadou, Brouwers, & Le, 2014), which is the case of this research. Moreover, Nvivo was a valuable resource for this research because it can be used to validate and refine a priori models (Bandara, 2006).…”

Multidisciplinary Smartphone-Based Interventions to Empower Patients With Acute Coronary Syndromes: Qualitative Study on Health Care Providers’ Perspectives (Preprint)

“…The focus group transcriptions were imported into Nvivo 11.0 for thematic analysis [15]. NVivo helps a researcher to manage and organize the data and facilitates the process of analysis, identification of themes, collecting insights and developing conclusions [16].…”