Data Screening & Removal of Outliers

DATA SCREENING

For the data screening, I am going to screen the nominal and ordinal variables

What I got in the output window are;

1. Overall statistics of demographics

2. Frequency of ID

3. Frequency of Age and Gender

4. Frequency of Month of Birth and Year of Birth

REMOVAL OF OUTLIERS

Based on this screening, I found that;

1. There is one extreme value for the variable Age

There is less likely for a 210 year- old to fill up these scales, therefore this participant is considered as outlier.  I am going to remove the outlier; remove the participant from the respondents

As it is easy to locate the outlier, I would not do the cases sorting

After deleting the case for the outlier, I then do a data screening again for the variable Age