Page 280 - Comparing Political Communication Theories, Cases, and Challenge
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                                            Wolfgang Donsbach and Thomas Patterson

                                outcome (Prob) where the assumed likelihood of a positive or nega-
                                tive correlation is equal can be determined by the binomial probability
                                formula (Weinberg and Goldberg 1990, 187):
                                                            n!
                                                                       k n−k
                                                    Prob = ( / (k!)(n−k)! )p q
                                        where: p = probability of positive correlation = 1/2
                                              q = probability of negative correlation = 1/2
                                              n = number of tests = 17
                                              k = number of successes (positive correlations)
                                           n−k = number of failures (negative correlations)
                                When the probabilities for all possible outcomes (zero positive corre-
                                lations through seventeen positive correlations) are determined, a bi-
                                nomial probability distribution for seventeen tests can be constructed.
                                Statistically, if twelve or more of the seventeen tests are positive, the
                                chance probability of the outcome is about .05. If fourteen or more are
                                positive, the chance probability is about .01. And if fifteenormoreare
                                positive, the chance probability is about .001.
                                   In all five countries, journalists’ partisanship was significantly related
                                (p < .01) to their news decisions. The individual correlations (Pearson’s
                                r) were not particularly large, however. The average positive correlation
                                using the Left-Right scales was highest for Germany (.16) and nearly
                                as high for Italy (.13) and Britain (.12); it was lowest for the United
                                States (.09) and Sweden (.05). The correlations suggest that the hues of
                                journalists’ partisanship tend to shade the news rather than coloring it
                                deeply and that the degree of shading is affected by the news culture
                                in the respective country. Herbert Gans’s conclusion (1979) that most
                                journalists hold “progressive” but “safe” views is a reasonably precise
                                summary of the findings of the five-country survey.


                                        CASE 2: JOURNALISTS AS NEWS PROFESSIONALS

                                As in the previous example, comparative research is usually intended
                                to explore similarities and differences between each case in the study.
                                But it can also be used to illuminate a particular case. Through compar-
                                isons with the other cases, the exceptionalism of a particular case can
                                be confirmed or disconfirmed. We sought to do this in the case of U.S.
                                journalists.
                                   UnlikeEuropeandemocracies,whichdevelopedinthenineteenthand
                                twentieth centuries, American democracy dates back to the eighteenth


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