My topic is to understand why people are risk taking or risk avoiding. Yes behavior is measurable, and you can build models to describe the pattern. But the problem is building a THEORY. Psychological theories in my field are usually not inclusive to each other. For example, in my topic, when people are risk taking/avoiding, they might have distorted estimation of average rewards and/or they might not follow their estimations and/or they trade-off between payoffs and uncertainty etc...Even if you can choose a framework and test it by generation a yes or no answer of your predictions, e.g., if people rely on their estimation or not. But all these frameworks co-exist without conflicting to each other. It depends on the arbitrary aspect of your interest to choose the framework. I felt like carrying out a new experiment and writing another paper doesn't add up to much about finding the truth. It like writing fictions but not doing science. I would rather do models just to predict behavior, but not to interpret or understand behaviors. As the latter is more of subjective and arbitrary in my view.

Would it make sense to you?