Page 173 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2015 Vol. 41
P. 173

172   Journal of Library Science in China, Vol. 7, 2015



            preferences. As we mentioned in section 3.2, based on the expert judgments, we weighted
            different information sources by their degree of enrichment and quality of information.
            Through this procedure, we translated interviewees’ information source horizon into a
            continuous variable and regarded it as independent variable. We made a correlation analysis
            of the variable related to information source horizon and different gender, age, income,
            educational level and occupation (Table 2).

            Table 2. Correlation coefficient metrics of the selection of information sources among different gender, age, income,
            educational level and occupation group
                            female  male                 20-29    30-39   40-49    Above 50
                                                 20-29     1      0.611  ∗∗∗∗  0.491 ∗∗∗∗  0.322 ∗
              Gender  female  1    0.892 ∗∗∗∗  Age  30-39  0.611 ∗∗∗∗  1  0.905 ∗∗∗∗  0.594 ∗∗∗∗
                                                 40-49   0.491 ∗∗∗∗  0.905  ∗∗∗∗  1  0.627 ∗∗∗∗
                      male  0.892 ∗∗∗∗  1       Above 50  0.322 *  0.594  ∗∗∗∗  0.627 ∗∗∗∗  1

                                    Under 9 000  10000-  20000-  30000-  40000-     Above
                                                 19000   29000    39000   49000     50000
                       Under 9 000      1        0.829 ∗∗∗∗  0.591 ∗∗∗∗  0.638  ∗∗∗∗  0.577 ∗∗∗∗  0.629 ∗∗∗∗
               Yearly  10 000-19 000  0.0829 **   1      0.498 ∗∗∗∗  0.531  ∗∗∗∗  0.479 ∗∗∗∗  0.440 ∗∗
              income  20 000-29 000   0.591 ∗∗∗∗  0.498 ∗∗∗∗  1   0.814 ∗∗  0.734 ∗∗∗  0.662 ∗∗∗
              (Yuan)
                      30 000-39 000   0.638 ∗∗∗∗  0.531 ∗∗∗∗  0.814 ∗∗∗∗  1  0.748 ∗∗∗∗  0.771 ∗∗∗∗
                      40 000-49 000   0.577 ∗∗∗∗  0.479 ∗∗∗∗  0.734 ∗∗∗∗  0.748  ∗∗∗∗  1  0.795 ∗∗∗∗
                       Above 50 000   0.629 ∗∗∗∗  0.440  ∗∗  0.662 ∗∗∗∗  0.771  ∗∗∗∗  0.795 ∗∗∗∗  1
                                  Primary education Junior high  Senior high  College  Bachelor or above
                         Primary                    ∗∗∗∗         ∗∗∗∗        ∗         ∗
                        education       1        0.715       0.464        0.327     0.345
             Educational   Junior high  0.715 ∗∗∗∗  1        0.684 ∗∗∗∗   0.630 ∗∗∗∗  0.570 ∗∗∗∗
               level
                        Senior high   0.464 ∗∗∗∗  0.684 ∗∗∗∗   1          0.900 ∗∗∗∗  0.755 ∗∗∗∗
                         College      0.327 ∗∗   0.630 ∗∗∗∗  0.900 ∗∗∗∗     1      0.812 ∗∗∗∗
                     Bachelor or above   0.345 ∗  0.570 ∗∗∗∗  0.755 ∗∗∗∗  0.812 ∗∗∗∗  1
                                                                  Civil   self-    company
                                      Farmers   Teachers  Workers
                                                                  servants  employed   employees
                         Farmers        1        0.518 ∗∗∗∗  0.351 ∗  0.403 ∗  0.650 ∗∗∗∗  0.286
                         Teachers     0.518 ∗∗∗∗  1      0.365 ∗  0.584  ∗∗∗∗  0.425 ∗∗∗∗  0.420 ∗∗∗∗
             Occupation
                         Workers      0.351 ∗    0.365  ∗  1      0.589  ∗∗∗∗  0.594 ∗∗∗∗  0.635 ∗∗∗∗
                       Civil servants  0.403 ∗   0.584 ∗∗∗∗  0.589 ∗∗∗∗  1  0.779 ∗∗∗∗  0.840 ∗∗∗∗
                       self-employed  0.650 ∗∗∗∗  0.425 ∗∗∗∗  0.594 ∗∗∗∗  0.779  ∗∗∗∗  1  0.770 ∗∗∗∗
                     company employee  0.286     0.420 ∗∗∗∗  0.635 ∗∗∗∗  0.840  ∗∗∗∗  0.770 ∗∗∗∗  1
            Note: **: Correlation is significant at the 0.01 level (2-tailed), *: Correlation is significant at the 0.05 level (2-tailed).
   168   169   170   171   172   173   174   175   176   177   178