Just gave princeton CAT - got a 690 (Q 48 V 37) - this is significant departure from my usual scores on Manhattan where I scored 750,710,740.
In Quant: I got very questions wrong in comparison to
MGMAT where I got as many as 10 wrong yet got 51 on Quant and here just 5 wrong got me to 48. The level was easier definitely and I finished way ahead of time, almost 20 mins and Quant
In Verbal: Similar situation, where I got 6 wrong, yet a score of 37 nd 15 mins in Verbal to spare.
Need to know - How similar is the adaptive algorithm that folks have seen, in princeton it seemed average and saw only moderate level questions and hence was penalized for silly errors on the moderate ones. I felt this was counter productive as you can only move downwards from a moderate difficulty but can not move up to harder ones. So silly errors are really penalizing.
Requesting members of this forum to share their experience and specifically share inputs on the algorithm of Princeton and its similarity to the actual GMAT.