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UID:news134@dgw.philhist.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20190131T171200
DTSTART;TZID=Europe/Zurich:20190220T121500
SUMMARY:Applied Qualitative Data Analysis I
DESCRIPTION:Concept: \\r\\nA large body of literature explores and describe
 s different research methods and qualitative data analyses tools. But the 
 challenge often remains as to how to apply a chosen method to one’s own 
 data. How do we get from choosing the suitable analysis tool to actually o
 rganize\, disassemble\, re-assemble\, code\, and interpret our data? This 
 colloquium will provide the space to present excerpts of data (field notes
 \, recorded or transcribed interviews\, film material\, archive material e
 tc.) and generate in-depth discussions with fellow PhD candidates about yo
 ur own research data. The idea is to create a space\, where we can discuss
  our data analyses and jointly develop them further. In each session\, 2-3
  people will bring data they wish to discuss and analyze together. You may
  present problems and dead-ends to find possible solutions in the group. E
 ither you come with a clear idea about what kind of method you wish to app
 ly for the data presented or we can engage in open-ended discussions about
  possible kind(s) of method(s) you could use. You can bring analyzed excer
 pts of your data to discuss the codes with the group\, or we can look at a
 n excerpt of your data that you have not yet analyzed. It should be a spac
 e to be used corresponding to your needs. \\r\\nData can be discussed in e
 ither German or English. The general language will be English but we may o
 rganize an all-German session if there is a group of people with data in G
 erman only. \\r\\nSandwiches will be provided by the G3S.\\r\\nPlease sign
  up by sending an email to Melina Rutishauser (melina.rutishauser@unibas.c
 h) or Julia Büchele (j.buechele@unibas.ch [mailto:j.buechele@unibas.ch]).
X-ALT-DESC:Concept: \nA large body of literature explores and describes dif
 ferent research methods and qualitative data analyses tools. But the chall
 enge often remains as to how to apply a chosen method to one’s own data.
  How do we get from choosing the suitable analysis tool to actually organi
 ze\, disassemble\, re-assemble\, code\, and interpret our data? This collo
 quium will provide the space to present excerpts of data (field notes\, re
 corded or transcribed interviews\, film material\, archive material etc.) 
 and generate in-depth discussions with fellow PhD candidates about your ow
 n research data. The idea is to create a space\, where we can discuss our 
 data analyses and jointly develop them further. In each session\, 2-3 peop
 le will bring data they wish to discuss and analyze together. You may pres
 ent problems and dead-ends to find possible solutions in the group. Either
  you come with a clear idea about what kind of method you wish to apply fo
 r the data presented or we can engage in open-ended discussions about poss
 ible kind(s) of method(s) you could use. You can bring analyzed excerpts o
 f your data to discuss the codes with the group\, or we can look at an exc
 erpt of your data that you have not yet analyzed. It should be a space to 
 be used corresponding to your needs. \nData can be discussed in either Ger
 man or English. The general language will be English but we may organize a
 n all-German session if there is a group of people with data in German onl
 y. \nSandwiches will be provided by the G3S.\n<b>Please sign up by sending
  an email to Melina Rutishauser (melina.rutishauser@unibas.ch) or Julia B
 üchele (<a href="mailto:j.buechele@unibas.ch">j.buechele@unibas.ch</a>).<
 br /></b>
DTEND;TZID=Europe/Zurich:20190220T154500
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