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How do you impute values in SPSS?
We read in the data as we normally do in SPSS, in my case as a “dat” file. Then from the Analyze menu choose Multiple Imputation and then select Impute Missing Values. When you have made the necessary assignments of variables to the role you will have a menu that looks like the following.
How do I merge duplicates in SPSS?
To merge data using SPSS graphical interface:
- Open the data file Data1. sav .
- From the Data menu, select Merge Files and then Add Variables….
- Select the file to merge (e.g., Data2.
- In the “Add variables” dialog box, select Match cases on key variables in sorted files and check Non-active dataset is keyed table.
What happens when a dataset is multiple imputed?
Than SPSS recognizes the dataset as an “imputed” dataset and is able to generate pooled analyses results. If SPSS does not recognize the dataset as a multiple imputed dataset, the data will be treated as one large dataset.
How to analyze SPSS Data after multiple imputation?
It is therefore recommended to visit the help index in SPSS to expplore what kind of pooled information is provided by SPSS before MI is applied. Analyze > Descriptive Statistics. Figure 5.3 shows that in the “Pooled” row the mean values of the Tampascale variable are pooled.
How to do data analysis after multiple imputation?
Figure 5.5: T-test for difference in mean Tampascale values between patients with and without Radiation in the leg applied in multiple imputed datasets. Figure 5.6: b.T-test for difference in mean Tampascale values between patients with and without Radiation in the leg applied in multiple imputed datasets.
How to calculate tampascale values after multiple imputation?
Figure 5.6: b.T-test for difference in mean Tampascale values between patients with and without Radiation in the leg applied in multiple imputed datasets. The result in the original dataset (including missing values) is presented in the row that is indicated by Imputation_ number 0.