In this case, AGEġ) Type a new name for the variable, e.g. Choose the variable that you want to recode. Traditional (Silent) = 61 – * (89 was actually chosen as a cut-off date for this group see You will have to decide if you will include them, or treat them as outliers
Those if you have the Silent Generation in the 90 range, for example. NOTE: Check the codes for your missing values. After re-coding, please remember to choose the right measurement for Please attribute according to appropriate APA, MLA or other formatting Permission is granted for the use of this presentation for any purpose. NOTE: genTrad/Slnt = Traditional/Silent generation.If you choose to include age values in your analysis that are in the 90+ range, you will have to recode those missing values in your data so that they do not fall into that generation’s age range, thus confusing your data and subsequent analysis Why? Often missing values are coded with values in the 90+ range.
If so, you will have to decide if you will select them out, for example OR: (2) You will have to recode missing values. “89” is shown as the cut-off age)In this case you will have to treat age ranges that fall outside of 89 as outliers. You may have to either (1) choose to define the Traditional/Silent generation within a range with a cut-off age (e.g. Often values such as 90, 99, etc are used to indicate missing values.
You may have to either (1) choose to define the Traditional/Silent generation withinIn this case you will have to treat age ranges that fall outside of 89 as outliers.You will have to decide if you will include them, or treat them as outliers and possibly select them out.If you choose to include them in your analysis, you will have to recode missing values so that they do not fall into that generation’s age range, thus confusing your data and analysis Often values such as 90, 99, etc are used to indicate these values. The age range for Traditional/Silent generation is 61+If you have Silent Generation members in the 90s+ age range, you will have to pay attention to how other variables such as “missing” are coded.