I have a longitudinal data on employee's age (continuous), whether they left the company or not (binary), and 3 year's performance rating (on a 5-point scale). However, not many employees have all three years of performance rating data. Some have it in 2015 but not in 2016 and some have it 2016 not in 2017.
Now I want to test whether age affects performance and this in turn affects the voluntary turnover of staff.
How am I suppose to do it SPSS?
Should I average the performance rating and make it a continuous variable?
https://www4.stat.ncsu.edu/~davidian/st790/
https://www.stat.ncsu.edu/people/davidian/courses/st790/
The above links lead to excellent course notes on missing data and longitudinal models. I suggest you look at these notes to see if they might be of help. Prof. Marie Davidian is the author. Good luck, David Booth I forgot to say that since your response is binary you would want to run your model in a logistic regression program. See the attached notes( Frank Harrell) BTW SPSS is not a good choice as you will see from my references.
Zzzzz Zhu is suggested to follow the advise given by David Eugene Booth.
Hello Zhu
1. The Basic Mediation Model is,
M = β0 +β 1 X=e.
2. Indirect (mediated) effect of X on Y = a*b and Direct (unmediated) effect of X on Y = c’ .
3. To test for mediation we can examine the statistical significance of the indirect effect (ie. H0 : ab = 0).
4. There are many statistical tests of the indirect effect (see Hayes & Scharkow, 2013 for a review). Some of these tests (eg. the Sobel Z test) assume the indirect effect is normally distributed.
5. Unfortunately, the indirect effect is rarely normally distributed.
6. Non-parametric bootstrapping (with confidence intervals) has been recommended for testing mediation as it does assume the indirect effect is normally distributed and yields the most accurate results .
7. Please refer to,
Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis. New York: Guilford Press.
Regards,
Zuhair
The formula and the reference given by Z. Al-Hemyari will, as I understand, be helpful in solving the problem.
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