I want to run an experiment with 4 groups (4 manipulated independent variables). To be precise, I give four different descriptions of an investment portfolio (managed by company X, managed by advisor Y etc.).

Subjects see the development of the portfolio over time and can decide to sell or keep the portfolio at 5 points in time. The portfolio is continuously going down. The dependent variable I measure is "how long do they keep the portfolio?". In the end I want to say something about trust, so how much they need to loose until they loose trust in the portfolio(manager).

I am wondering how I can analyze the data to find out differences between the four groups.

My wild (and probably wrong idea):

Treat the measured DV like a scale. So it's either sold at t1, t2, t3, t4 or t5. I probably cannot assume that it is a Likert scale since Likert scaling assumes distances between each item are equal. This is not the case since the portfolio is not declining linearly.

Can I nonetheless transform it into a scale from 1-5 and just calculate a multivariate ANOVA?

Any other ideas? I did not deploy the survey yet so changes in data collection are possible.

Thanks in advance!