Co-occurence Analysis

Drawing on studies of the history of emotions, trust- and community-formation, and on medieval as well as modern religious violence, this study re-evaluates the predominantly military view of medieval sieges. Instead, this article examines sieges as extreme, often purposefully histrionic, and emotionally ambivalent social events, based
on the descriptions of sieges in two Baltic missionary chronicles: Helmold of Bosau’s ‘Chronica Slavorum’ (12th c.) and Henry of Livonia’s ‘Chronicon Livoniae’ (13th c.). By focusing on the means of emotional bonding during sieges in the Baltic Rim, this article argues that emotions expressed and accentuated the social, political, and religious
predicaments of missioning and crusading. Frequently, emotions in sieges were actively deployed and navigated as means of warfare or as the performative fuel of the theatre of war. Often employed as a motivational force, emotions could also serve as a paradoxical method of socialisation within groups of faith and across religious divides.

Without a doubt, MAXQDA, the leading CAQDAS (software), is one of the most useful and commonly used tools for qualitative data analysis. Despite this and, in a sense, outside the common praise “the King of the CAQDAS”, the aim of this methodological paper is to present a variety of troubles (and their solutions) associated with the processing of a dataset with more than 90,000 media messages in MAXDictio (MAXQDA addon). Going in steps, I will demonstrate the phases of data import, categorization of data, autocoding of sentences, word frequencies, selectionofkeywords,dictionary-makingandananalysis of co-occurrences. In addition to MAXQDA, the article will mention some minor applications/software, potentially very handy for the diverse forms of computerassisted text analysis (CATA). Accordingly, what are the limits of MAXQDA? And if exceeded, what are the solutions? And what other software can be (or have to be) used with MAXQDA.