Don’t risk getting your identity stolen by shopping anywhere else. This includes Identity Theft protection, a $1000 purchase guarantee, and a lowest price guarantee.
#Multiple imputation spss 22 how to#
A great resource for learning how to use SPSS.
![multiple imputation spss 22 multiple imputation spss 22](https://img.yumpu.com/30196645/1/190x146/multiple-imputation-in-spss.jpg)
#Multiple imputation spss 22 code#
![multiple imputation spss 22 multiple imputation spss 22](https://cdn.mindmajix.com/blog/images/spss-tutorial-270919.png)
![multiple imputation spss 22 multiple imputation spss 22](https://www.mdpi.com/ijerph/ijerph-18-08375/article_deploy/html/images/ijerph-18-08375-g002.png)
For example, the values imputed for BMI can differ by as much as 20 kg/m2 from baseline which is unfeasible. However, running the model on split dataset (by time (baseline and follow-up) and group (control and intervention 1 and intervention 2) does not address this issue. I would like to condition my multiple imputation model to account for baseline values in calculating the ones for follow up. My multiple imputation model contains 46 variables including categorical and continuous covariates including BMI. I am thus using Predictive Mean Matching. The data is missing at random, however more than half of my variables (RTs) are not normally distributed. As I have 25% of missing data at follow-up on my outcomes (reaction time and accuracy on cognitive tasks), I used multiple imputation technique to address the missing data.
![multiple imputation spss 22 multiple imputation spss 22](https://slideplayer.com/slide/5325497/17/images/6/Multiple+Imputation+and+Missing+Data.jpg)
I am analysing data from an intervention study with 2 time points (baseline and follow-up) and 3 groups.