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Quantitative narrative analysis software options compared: PC-ACE and CAQDAS (ATLAS.ti, MAXqda, and NVivo) |
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| Authors: | Roberto Franzosi Sophie Doyle Laura E. McClelland Caddie Putnam Rankin Stefania Vicari |
| Affiliation: | 1. Emory University, Atlanta, GA, USA 2. Oxford University, Oxford, UK 3. Virginia Commonwealth University, Richmond, VA, USA 4. Department of Media & Communication, University of Leicester, Bankfield House, 132 New Walk, Leicester, LE1 7JA, UK |
| Abstract: | This paper shows how to carry out quantitative narrative analysis (QNA) with different text analysis software (PC-ACE, Program for Computer-Assisted Coding of Events, and various CAQDAS programs, Computer-Assisted Qualitative Data Analysis Software: ATLAS.ti, MAXQDA, and NVivo). QNA is a methodological approach to narrative texts that exploits invariant properties of narrative (namely, a “story grammar”, based on actors, actions, and their attributes) to make a statistical analysis of words possible. In comparing PC-ACE and CAQDAS, the paper leads the reader through the steps involved in setting up a grammar, in data entry, and in data query. A careful comparison of limits and possibilities of the two types of software will allow the reader interested in QNA to make an informed choice between a full implementation of QNA in a specialized but unknown software (PC-ACE) and a limited implementation in any of the widely used and popular CAQDAS programs. |
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