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7.10  Writing up the study  179




                  the literature, this report introduces the methodological approach of   combining
                    traditional participatory design methods with measures aimed at encouraging the
                  learning that would need to happen for the project to continue to succeed after the
                  research  team  ceased  to be actively involved. The  report continues  by providing
                  detailed background of the organization, including its context, goals, and staff re-
                  sources. The data collection methods and analytic methods were then discussed. The
                  case study data were discussed chronologically, with analysis interspersed, leading
                  to a discussion of implications of the results. The resulting report has details that
                  might be of interest to a wide range of users, including HCI researchers, technology
                  experts, and community organizers.
                     When appropriate, your case study report should also discuss rival explanations.
                  Having taken the time to consider alternative explanations for any of your analytic
                  results, you should document the results of this effort. Introducing the rival theo-
                  ries and explaining why the available evidence better supports your conclusions can
                  bolster the credibility of your report. If you do not find any evidence in favor of the
                  alternatives say so (Yin, 2011, 2014).
                     Your write-up of your case study should reflect the limitations of case study re-
                  search. Any discussions of observations that may apply to the community as a whole
                  should be phrased so as to avoid claims of generality. If you make the same obser-
                  vation for several cases, you might say that your observation appears to apply to a
                  broader population, but you should not claim that your conclusion is definitively
                  general. You might also say that these recurring trends merit further  investigation,
                    implying the need for a more rigorously sampled study that would determine whether
                  the findings were generally applicable. Proper attention to the validity of the claims
                  that you are making will help defend you from critics who may feel that you are be-
                  ing overly broad in your interpretation.
                     Once you have written a draft of your report, you might consider letting your
                  participants read it. This can be a valuable reality check—if your participants believe
                  that you have the facts wrong, you may have a problem that needs to be revisited.
                  If this happens, you may need to collect some more evidence to clarify the situation
                  (Yin, 2014). Participants may also provide alternative viewpoints on the data, pos-
                  sibly including explanations or theories that might (or might not) complement yours.
                  You may not agree with all of the comments that your participants make, particularly
                  with regards to interpretation of the data, but you should do your best to be receptive
                  to constructive criticisms from your participants. Having taken the time to work with
                  you, they are likely to have some interest in helping make your work and your report
                  as accurate as possible.
                     Case study  write-ups  often face  the  troubling  question  of  anonymity.  When
                  you're dealing with an individual or a specific group, concerns about privacy are
                  very real: particularly for unique cases, your write-up may be too revealing for
                  comfort. In some cases, protocols for the protection of human research subjects
                  (see Chapter 15) might require that you do not identify the participants in a research
                  study. A good rule of thumb might be to be conservative—when in doubt, protect
                  your participants.
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