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    Dear All,

    I am currently doing my dissertation on how the state of the UK economy affects the rate of construction accidents from 1986-2009.

    I have the following data (all spanning from 1986-2009):
    • GDP figures from ONS

    • 3 types of injury data (fatal, major, over 3 day) separated by full time and self employed workers (so thats 6 in total).


    I want to compare each type of injury data against the GDP in order to find out the economies affect on the rate of each type of accident.

    The main problems i have are:
    • Defining the variables? i want to say that the GDP is the dependant variable as it is constant in every test and that the type of injury/employment is the independant variable?

    • I have no clue whatsoever as to what tests i should carry out (ideally i would like to do 2 different tests for each set of injury/employment data) What tests can you recommend i look at?


    I have never used spss, however after watching youtube videos and reading books on SPSS, i have input the data on the SPSS data sheet to the best of my ability. I have attached the SPSS file for your reference. i hope the spss part will be easier when i know what i am doing!

    I am at my wits end as it is holiday time at uni so there is nobody around to ask and i want to get these stats and tests out of the way so i can get onto analysing them!

    Thanks in advance for your help,

    Tom
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    The 3 types of injury are from a "categorical variable", so too is the employment status (full or part time).
    So you could use contingency tables (chi-squared test) to find any evidence of dependency.
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    thanks for the reply,

    im sat in my uni library now so i will give that a try. Was i right in what i said about the dependant and independant variables?

    and any other tests i could try?
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    bump

    im actually willing to pay via paypal for anyone who can help.

    so if you have spss and fancy looking at my table, and earning yourself a tenner for helping me out a bit let me know.

    i really need the help that much!
 
 
 
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