Slides from September 11

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BNL to bring: • Syllabus • Printout of Topic sheets with BNL notes. 1

description

Class slides and notes from this date.

Transcript of Slides from September 11

Page 1: Slides from September 11

BNL  to  bring:  •  Syllabus  •  Printout  of  Topic  sheets  with  BNL  notes.  

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Page 2: Slides from September 11

Ask  about  videographers  NOW  (no  separate  slide):  Dot  and  Amier.  They  will  pick  up  cameras  at  BNL  office  between  noon  and  2:00  on  9/14.  IF  we  cannot  get  the  cameras,  BNL  will  email  Amier  and  Dot  and  arrange  for  an  alternaQve.    

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Page 3: Slides from September 11

Your  group  can  always  submit  parts  or  pieces  for  comment  before  October  9.  For  example,  you  might  create  the  list  of  components  that  you  will  include  in  your  final  report  and  then  that  list  to  me  in  an  email  that  explains  your  choices  asking  for  my  feedback.    Show  page  on  T-­‐Square  where  students  will  post  final  topics.  Post  by  September  21.  Read  everyone  else’s  by  September  23.  Come  prepared  to  pick  a  project  by  September  25.  

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Page 4: Slides from September 11

Trade-­‐off:  Data  from  QI  are  not  as  easy  to  present  in  quanQtaQve  or  graphic  fashion;  but  they  provide  richer  descripQons  of  phenomena.    Advantages:  Detailed;  mulQple  perspecQves;  descripQon  of  process;  obtaining  interpretaQons  of  events;  idenQfying  variables  for  quant  research.    Disadvantages:  Quibbles  about  whether  data  are  impressionisQc  or  anecdotal;  Qme-­‐consuming;  comprehension  barriers  between  interviewer  and  interviewee;  interviewee  dishonesty;  interviewee  ignorance.      

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Page 5: Slides from September 11

Video  data:  •  Approach  one:  Slice  it  into  Qme  sequences  and  note  what  parQcipants  are  doing  at  

each  Qme  slice.  •  Approach  two:  IdenQfy  a  list  of  things  you  are  looking  for,  e.g.,  expressions  of  

frustraQon,  references  to  documentaQon,  etc.,  and  note  each  Qme  one  of  these  happens.  

Verbal  reports:  •  Should  you  create  a  transcript  of  the  videos?  •  Once  you’ve  done  that,  how  do  you  analyze  the  data?  

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