In the event that there is not an acceptable model of the data-generating process within which the treatment effect is identified using samples from the population, the analyst should do what?
A) Collect more data.
B) Re-run the experiment.
C) Consider alternative data populations (e.g., additional variables) before attempting to estimate the effect.
D) Run a probit/logit model.

Question

Quizplus · Accepted Answer

If there is not an acceptable model of the data-generating process, it may be necessary to consider alternative data populations before attempting to estimate the effect. This could involve introducing additional variables or exploring subsets of the data to better understand the relationships between variables. Collecting more data or re-running the experiment may not address the issue of the lack of an acceptable model. Running a probit/logit model may be a possible approach, but it depends on the specific nature of the data and the research question. Considering alternative data populations is likely to be the most productive approach in this situation.

In the Event That There Is Not an Acceptable Model