Questionnaire data related to traffic crashes. needs some statistical analysis.

The project description should be carefully studied before bidding. in Summary, we have three independent dimensions(categories) each one has a number of parameters, the parameters and the dimensions are not equally weighted. the answers to the survey questions are from all types(yes or no, 1 to 5 scale, a matrix of answers, choosing many answers ..etc) The project must be completed and closed with all the comments before Friday 11 AM GMT less than 24 hours. I need the following: 1) Review the coding of the SPSS file. 2) analyze the data on Negative binomial and poison's model. 3) find the Internal consistency to be provided for each Category(Cronbach's alpha) based on each model separately. 4)Correlation analysis between each dimension(all the variables included in the Dim) and the number of crashes based on each model separately. 5) Identify the underlying parameters and recalculate the Cronbach's alpha and correlation after elimination based on each model. 6) A proper percentage of the data should be taken randomly and kept separately from the model for testing. 7)make a comparison between both models results AND testing ( ANOVA, person chi-square, Mean absolute deviance, mean square predictive error and goodness of fit(R square and adjusted R square) 8)recommend the best model based on the results and tests. 9)create a prediction equation for the dependent factor(number of crashes) having all the constant coefficients for each model. Thanks for reading.