In your experience, is it necessary to collect the same data in both measuring points in longitudinal studies and if not, what criteria or reasoning do you follow? For example, if personality traits are considered relatively stable (and present predictors in our models), could we omit them in the second wave?
My sense would be that the only things to measure repeatedly are the things that might change as a result of your intervention or the passage of time. So, if you were studying whether psychotherapy changed personality, you would measure personality traits repeatedly (even those you weren't targeting). But if you're studying something else (like changes in self-esteem or quality of life or physical fitness), then don't bother. As you say, the personality traits are being used only as potential predictors of other outcomes, or perhaps as moderating variables.
Stephen Joy my thoughts exactly; thank you very much! Looking forward to your current work on reading personality!
I agree with the previous answer, and let me add a little more: the answer to your question depends on several factors. What is the aim of your study? If you want to study changes in personality over time, you should assess them. What methods will you use for personality assessment? If you plan to use questionnaires, it is not accurate to rely on them after a single assessment. How will you control situational factors? Some situations can affect personality, causing temporal changes that may influence the variables of your interest. Moreover, the design of your research will also affect your study's results because longitudinal studies are influenced by various factors.
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