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“In memoing, the researcher writes the thoughts as they came, with no need for orderly or

                       linear process. The only mandate is to write what is emerging from the data. “Do not try to


                       make sense of anything yet. Instead, I let the data talk to me.” (Orona, 1997, p. 178)


                       Memos  developed  during  data  gathering  and  analyses  are  most  beneficial  when  used


               continuously to develop and arrive at progressive abstraction and theorizing (Lempert, 2010). The

               technique of bracketing, or “setting aside or suspending common sense assumptions about social


               reality in order to understand how it is that actors experience their world as real, concrete, factual

               and objective” (Schwandt, 2007, p. 26) assisted in capturing thoughts and concerns that might have


               constrained or limited the collection of data.


               Comparative Analysis and Category Development



                       After  coding  a  group  of  initial  interviews,  a  comparative  approach  allowed  for  data

               abstraction and the creation of categories. This method of data analysis aided in objective analysis


               (Bryant & Charmaz, 2010). Category building came after coding and constant data comparisons.

               “Creating abstract categories moves the analysis to a general conceptual and more theoretical level,

               and increases its parsimony by covering a wide range of empirical indicators” (Bryant & Charmaz,


               2010, p. 36). Categories are the conceptual elements upon which theory is made (Glaser & Strauss,

               1967).  Categories  “form  the  theoretical  bones  of  the  analysis  that  are  later  fleshed  out  by


               identifying and analyzing in detail, their various properties and relations” (Hood, 2010, p. 168).

               Using a process advocated by Glaser (1978), I scrutinized the raw data to discern emerging codes


               and categories using the constant comparative approach.


                       The  final  focus  for  strengthening  my  data  that  gave  me  a  more  dimensional  view  of


               Community Conversation was analyzing survey responses given during the last Red Blue (across



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