I have an SPSS data set with pre and post data on the treatment effect of children with behavioural problems. It has data from teachers, parents and children across four time frames. I have been given this data set by my supervior. It has a lot of missing data. I also have the SPSS syntax to impute missing data however I think it is not the most current approach and I would like help with this. The syntax I have also has all the code to calculate reliability, normality, scaled scores. etc. I also have a control group I would like to compare the treatment group to. My data set has been cleaned.
I looking for some one to:
- Impute the missing data
- run the appropriate statistical analysis to answer my research question (There are some published studies assessing the same intervention in a very similar way that I think I can use to guide test selection.)
I must tell you that I don't know much about SPSS. I am not really looking to learn how to do it myself, I would like someone to be able to run the analysis for me.
thanks for your time
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I am a statistical analyst, with strong background of Pure Statistics including a strong grip on statistical software including SPSS, Excel, Minitab, STATA, SAS, Mathematica, Statistica and Eviews.
Hi, I am good in SPSS and can help in completing your analysis on the treatment effect of children with behavioural [login to view URL] message me so as to discuss further on the [login to view URL]
Hi there, I am an expert SPSS statistician and would gladly accept your offer for this project. My professionalism is unmatched and thus you should expect nothing but the best. Please consider me, regards.
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