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Tina Štemberger and Jurka Lepičnik Vodopivec


            Table 4 Factor Loading Ascription of Responsibility Scale
             Item                                                                
             The Government should take strong action to reduce emissions and prevent global  .
             climate change
             The Government should exert pressure internationally to preserve the tropical  .
             forests
             Business and industry should reduce their emissions to prevent climate change  .
             The government should take stronger action to clean up toxic substances in the  .
             environment
             The chemical industry should clean up the toxic waste products it has emitted into  .
             the environment
             Companies that import products from the tropics have a responsibility to prevent  .
             destruction of the forests in those countries
             I feel a personal obligation to do whatever I can to prevent climate change  .
             I feel a sense of personal obligation to take action to stop the disposal of toxic sub-  .
             stances in the air, water, and soil
             People like me should do whatever we can to prevent the loss of tropical forests  .


                       various industries and companies are responsible for taking action for
                       preventing destruction of environment and so the factor was named
                       External responsibility.
                     – Factor2 encompassed 3 items with loadings varying from 0.862 to 0.652
                       and explaining 12,240 of variance. Items indicate personal respon-
                       sibility foractioninpreventingclimate change, stopping disposal of
                       toxic substances and preventing loss of tropical forest. The factor was
                       named Personal responsibility.

                    For the last scale, the Inter- and Intra-Personal Intelligences scale, 6 factors
                  (Table 5) were extracted. They together explain 57,663 of variance. The first
                  factor accounted for 22,378 of variance, which is also above the 20, 0 and
                  it indicates the appropriate construct validity of the scale.

                     – Factor 1 consisted of 4 items with factor loadings ranging from 0.766 to
                       0.669 and accounted for most of the total variance of (22,378). The item
                       analysis suggested that the factor Optimism.
                     – Factor 2 also consisted of 5 items and it accounted for the 11,740 of
                       variance. The factor loadings varied from 0.766 to –0.575. The factor in-
                       cluded items connected negative expectations regarding abilities and
                       opportunities, so we named it Pessimism.
                     – Factor 3 also included 4 items and it accounted for the 7.501 of vari-


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