________ refers to staying with a decision even when there is clear evidence it's wrong.
A) Risk aversion
B) Randomness error
C) Escalation of commitment
D) Fundamental attribution error
E) Availability bias

Question

Quizplus · Accepted Answer

Escalation of commitment refers to the tendency to continue investing time, money, or resources into a decision or project, even when there is clear evidence that it is not working or is unlikely to succeed. This can be due to a desire to avoid admitting failure or to justify previous investments.

________ Refers to Staying with a Decision Even When There