In the event that there is an acceptable model of the data-generating process within which the treatment effect is identified using samples from the population, but the 95% confidence level of the treatment effect contains both large negative and large positive values, what might be an appropriate step for the analyst to do?
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

Collecting more data can help narrow the confidence interval, providing a more precise estimate of the treatment effect.

In the Event That There Is an Acceptable Model of the Data-Generating