2019
DOI: 10.3917/mav.107.0165
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Analyses statistiques lexicales : une véritable aide à la disposition des recherches qualitatives en tourisme, notamment en matière d’éthique

Abstract: La méthodologie qualitative est souvent utilisée pour les recherches dans le domaine touristique. La relation entre l’interprète et l’interprétation est la préoccupation majeure d’une telle démarche. À partir d’une observation empirique tirée d’une étude sur la question des propositions de valeur des intermédiaires touristiques faisant appel au logiciel IRAMUTEQ, ce papier démontre que les outils d’analyse statistique lexicale sont de véritables assistants de lecture et d’interprétation des données recueillies… Show more

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Cited by 9 publications
(6 citation statements)
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“…Data processing Firstly, the transcripts from the 17 qualitative interviews were analysed using the IRaMuTeQ R text corpus statistical analysis software that is widely used for high quality research in tourism (Marghobi, 2018). The most frequently used functions were descending hierarchical classification (word frequency occurrence classification), word clouds (graphical representation of discourse occurrence), similarity analysis (graphical representation of co-occurrence based on the theory of graphs used in relational data analysis) and the Reinert method (internal discourse organisation).…”
Section: Wine Tourism Experiencementioning
confidence: 99%
“…Data processing Firstly, the transcripts from the 17 qualitative interviews were analysed using the IRaMuTeQ R text corpus statistical analysis software that is widely used for high quality research in tourism (Marghobi, 2018). The most frequently used functions were descending hierarchical classification (word frequency occurrence classification), word clouds (graphical representation of discourse occurrence), similarity analysis (graphical representation of co-occurrence based on the theory of graphs used in relational data analysis) and the Reinert method (internal discourse organisation).…”
Section: Wine Tourism Experiencementioning
confidence: 99%
“…This software does not require researchers, as is the case with other text analysis software, to analyse the transcribed interviews, identify and code the dominant themes using an inductive process, and then refine the analysis using a deductive method based on the literature review. Instead, IRaMuTeQ provides three main lexical discourse statistical analysis methods to bring out the main themes of texts: analysis of specificities, factorial correspondence analysis and the ALCESTE method (Marghobi, 2019). In our study, we designed the textual semantic analysis to provide an answer to the following two questions: (a) Which discourse themes constitute the source of the nurses' and caregivers' statements regarding absenteeism?…”
Section: Methodsmentioning
confidence: 99%
“…In pursuance of the work developed by Reinert (1983Reinert ( , 1990, it uses the ALCESTE (Analyse des Lexèmes Cooccurrents dans un Ensemble de Segments de TExtes) method, identifies the co-occurrences of the active forms, and groups them in classes. It thus offers an exploratory analysis without a priori (Marghobi, 2019). Descending hierarchical classifications (Cristofini, 2021) and factorial correspondence analyses contribute to the study of the contrast between classes (Delattre et al, 2015).…”
Section: Data Collection Coding and Analysismentioning
confidence: 99%