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Intentional Process Modeling of Statistical Analysis Methods
Charlotte Hug, Rebecca Deneckère, Ammar Aymen

Intentional Process Modeling of Statistical Analysis Methods

Science & Mathematics Published 2014 Verification Pending

Overview & Synopsis

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.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Intentional Process Modeling of Statistical Analysis Methods
Author / Organization Charlotte Hug, Rebecca Deneckère, Ammar Aymen
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2014
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-175870
Original Source Link Visit Source Page on hal.science »