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Analysis of Surveys
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Journalist 1 & C - Advanced manual for Journalism and other reporting practices
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Summary - Continued

Figure  9-5.—Obscuring  results. no need to hide the data from anyone by making the scale too hard to see such as in the first graph produced. There also  should  not  be  any  of  the  surveyor’s  personal interests involved in choosing the method of display. The  data  should  be  presented  with  only  the  com- munication of the facts as the goal. Given that the CO was astute and, being an engineer, well  aware  of  statistics  and  their  uses,  how  creditable would  the  JO  sound  when  bragging  about  the advertising campaign for the racquetball courts and how the TAD upset that campaign? What if the CO was a racquetball player and knew how hot the courts were in the summer? Would the credibility of the JO then come into  question?  Of  course  it  would! The lesson on graphics is simple. Use whatever visual  communication  device  you  need  to  get  your message  to  its  intended  audience.  Nevertheless,  beware of making the data look suspect by taking too many creative liberties. Remember, many in your audience will be as good of a statistics consumer as you now are Figure 9-6.—Suitable display. Figure 9-7.—Exaggerated results. and  once  the  data  becomes  suspect  because  of  an obvious   attempt   to   manipulate   the   figures,   your credibility is gone and your efforts have been wasted. SUMMARY This chapter is part of the JO 1 & C training manual because of the growing demand from the public affairs community and the ongoing need of internal media relations to know what is happening and to know their audience.  Survey  production  and  analysis  have  only recently  been  included  in  the  occupational  standards  for journalists, but it has long been a part of the rating. AFRTS and, since 1975, NBS, have always required an annual audience survey. More and more public relations practitioners  in  the  civilian  world  are  having  to  prove their  worth  on  the  bottom  line  to  their  chief  executive officers (CEOs). Proving the money value, more often than not, entails sophisticated statistical analysis of program  effect. 9-11

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