![]() ![]() Furthermore, in this case the analysis of articles in four different languages would have increased the variables and the potential inconsistency of the results, requiring four different text analyses to be put together later. Without the appropriate questioning during the analysis, the risk either of running the wrong procedures and queries or of creating fictitious associations between concepts and documents was considered high. In fact, without a previous coding process, the automatic search of keywords throughout the texts was deemed to be potentially misleading. Though there are many advantages (speed, completeness, objectivity, precision) of automatic processing, the risk of carrying out the whole analysis via computer software, instead of using this to speed up and enhance the analysis, was given special consideration. As for this research, an evaluation of the pros and cons of using this type of software was carried out. To support this process, many qualitative data analysis computer software programmes are available, which help in organising and analysing non-numerical and unstructured data. For example, paraphrasing from an advanced information source for students and translating a piece of information from a foreign language to Finnish are both experiences of challenges that deal with transforming information.Īnna Galluzzi, in Libraries and Public Perception, 2014 Criteria of data processingĪfter the article selection, a text and content analysis was needed. Some coding decisions required the prioritizing of certain features or elements shared by two themes to differentiate between them. Constant comparisons resulted in the descriptions of the themes being progressively clarified and the codes refined. Each segment of data was compared with the descriptions and assigned a code. 2Ī list of potential themes was produced from the reading of the data and initial descriptions of the themes were then written. This protocol was adopted to increase discrimination and rigour in code development and assignment. The codes were assigned exclusively to the segments of data, thus, the codes could not overlap. A unit of analysis could be assigned more than one code a code could be assigned only to one unit of analysis. The unit of coding varied in length from a single sentence to several sentences over which a single idea or a conception was articulated. The unit of coding is ‘the most basic segment, or element, of the raw data or information that can be assessed in a meaningful way regarding the phenomenon, ( Boyatzis 1998, pp. The themes were then identified within (but not across) the responses (that is, the units of analysis). The units were identified on the basis of discrete question–response pairs repeated across the data as a result of the use of the structured interview guide. The unit of analysis is the entity on which the analysis will focus ( Boyatzis 1998, pp. The codes were developed from the data inductively, rather than derived from a theory and then applied to the data ( Boyatzis 1998, pp. A code comprises a label and a definition for a theme, and enables linking data and ideas about the data ( Boyatzis 1998, pp. A theme is a pattern identified, at minimum, directly at the manifest level in the data or, at maximum, at the latent level as an interpretation of the data ( Boyatzis 1998, pp. Thematic analysis is a process for encoding qualitative information by using explicit codes. The Text Analysis Markup System (TAMS) Analyzer 1 was applied to the computer-assisted thematic analysis on the Finnish transcripts. Mikko Tanni, in Practising Information Literacy, 2010 Data analysis ![]()
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