Intentional Process Modeling of Statistical Analysis Methods

Charlotte Hug (1) , Rebecca Deneckère (1) , Ammar Aymen (1)

1 CRI - Centre de Recherche en Informatique de Paris 1

Each Humanities researcher has its own way to deal with data (collection, coding, analysis and interpretation). All these specific ways of working are not shared-each researcher is reinventing his/her own method while analyzing data without any previous experience. Nevertheless, developing and sharing these methods should be useful to the research community and students in Humanities. Moreover, a lot of data analysis is done with statistical analysis methods, to find correlations between events, to make predictions or assumptions on facts or artifacts; and the use of one method or another requires good statistical knowledge. We conducted interviews among archaeologists and historians to understand their ways of working and collected information on the methods they used. We then built a method to guide researchers in using statistical analysis methods.

Mots clés: statistical analysis methods; method; intentional process

Domaines: Génie logiciel [cs.SE]; Autre [cs.OH]

Charlotte Hug, Rebecca Deneckère, Ammar Aymen. Intentional Process Modeling of Statistical Analysis Methods. Annual Conference on Computer Applications and Quantitative Methods in Archaeology, Apr 2014, Paris, France. pp.481-488. ⟨hal-01144426⟩