Page 142 - Contributed Paper Session (CPS) - Volume 6
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CPS1850 Paula Alves de Almeida et al.
                  cases for  films directed by a  man and 95% of all cases, indicating a  good
                  predictive power.
                      We also considered as response variable “the scriptwriter is a woman” and
                  as auxiliary variables the following characteristics of films: sex of director, sex
                  of cinematographer, sex of producer, sex of protagonist, and film genre. The
                  variables  “sex  of  cinematographer”  and  “film  genre”  were  not  statistically
                  significant in the logistic regression and were excluded from the model. The
                  “sex  of  protagonist”  was  statistically  significant,  but  the  model  with  this
                  variable has a smaller value of the pseudo R  and lower predictive power than
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                  the chosen model. Table 2 indicates that when the director is a woman, the
                  odds ratio of the film has also a female scriptwriter is 115 times that for films
                  with male directors. In addition, the odds ratio for a film’s being written by a
                  woman  is  roughly  2  times  when  the  producer  is  a  woman  then  for  male
                  producers.
                    Table 2 Estimated coefficients, corresponding standard errors and odds ratios to
                                                 “sex of writer”











                      The chosen model was the one with the best value for the goodness-of-
                  fit statistics and predictive power among the fitted models. According to the
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                  value of the pseudo R , the set of variables included in the model may explain
                  65% of the variability of the response variable. The model correctly predicts
                  roughly 79% of the outcomes for films directed by a woman, 98% of the cases
                  for films directed by a man and 95% of all cases.
                      As a result of the statistical model to investigate the association between
                  the “sex of the director” and the other selected film characteristics, Table 3
                  displays the estimated probabilities of the occurrence of the event “a film is
                  directed by one or more women” and the event “a film is directed by one or
                  more men” when controlling by the explanatory variables. In addition, based
                  on the statistical model to investigate the association between the “sex of the
                  scriptwriter” and the other selected film characteristics, Table 4 presents the
                  estimated probabilities of the occurrence of the event “a film is written by
                  women” and the event “a film is written by men” according to the explanatory
                  variables.





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