Resumo

SOUSA, Yuri Sá Oliveira et al. The use of the Iramuteq software in the interview data analysis. Pesqui. prát. psicossociais [online]. 2020, vol.15, n.2, pp.1-19. ISSN 1809-8908.

The methodological domain in data analysis is important in research training. The aim of this study was do analyze data analysis procedures from qualitative interviews supported by Iramuteq, a free textual statistical analysis software. We analyzed 38 empirical articles published between 2009 and 2018, mainly in the areas of Nursing and Psychology. Thirty-three used the technique of Descending Hierarchical Classification (DHC), 12 Similitude Analysis, and only three have used Factorial Correspondence Analysis (FAC). Thirty-three of the total presented justification for choosing Iramuteq and 10 adopted the Theory of Social Representations as a framework of theoretical analysis. We conclude that there is an underutilization of the Iramuteq's technical resources, which limits the understanding the phenomenon under study more extensively. Suggestions for single and combined use of the Iramuteq analysis resources are presented to contribute to the methodological training of researchers interested in the analysis of textual data.

Palavras-chave : Lexical analysis; Iramuteq; Qualitative research; Interview.

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