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Can you impute age?
When a person’s age is missing, the imputation method used for the 1990 Census short form involves a hot-deck procedure which imputes a value using data from the nearest household that has the same characteristics as the household containing the person with the missing age (Census, 1994).
When should I impute?
Contrary to mean im- putation, regression imputation can also be used when more than 10% of the data is missing and when the data contains highly correlated variables (Little & Ru- bin, 1989).
How do you do single imputation?
In a single imputation method the missing data are filled by some means and the resulting completed data set is used for inference. Mean imputation (MI) is one such method in which the mean of the observed values for each variable is computed and the missing values for that variable are imputed by this mean.
When to use single imputation or multiple imputation?
Imputation is one of the key strategies that researchers use to fill in missing data in a dataset. By using various calculations to find the most probable answer, imputed data is used in place of actual data in order to allow for more accurate analyses. There are two different types of imputation:
How to calculate the imputation of missing data?
The output dataset consists of the original data with missing data plus a set of cases with imputed values for each imputation. The imputed datasets are stacked under each other. The file also contains a new variable, Imputation_, which indicates the number of the imputed dataset (0 for original data and more than 0 for the imputed datasets).
Can a single imputation be underestimated in a confidence interval?
However, if single imputation is not considered properly in later data analysis (e.g. by applying sophisticated variance estimations), the width of our confidence intervals will be underestimated ( Kim, 2011 ).
How to imputation single missing data in SPSS?
In SPSS Bayesian Stochastic regression imputation can be performed via the multiple imputation menu. To generate imputations for the Tampa scale variable, we use the Pain variable as the only predictor. Step 1. To start the imputation procedure, Go to. Analyze -> Multiple Imputation -> Impute Missing Data Values.