Hello everyone,
I will take the gmat on the 31st (I know, it's not the best day to take the gmat but I just wanted to make it special
) and as the exam is approaching, I can't stop thinking about it - especially the score that I will get.
To prepare the exam, I used several sources: the official guide, paper tests, barrons, princeton and kaplan. I also tried the tests that come with the gmatprep software.
I think that the OG is an indispensable tool because the questions have appeared before, so they are the real ones which are supposed to be similar to the ones that you will encounter on the real thing. Kaplan and princeton give you good advices and some good strategies, which can seem quite odd at the beginning.
The paper tests are not bad but actually the questions are much easier than the questions that you encounter on the gmatprep software. But they are also scored differently - actually, you can score Q47-48 on the gmatprep by doing 10 or even 12 mistakes but in order to get in that territory on paper tests, you need to answer no more than 3 or 4 questions wrong.
I do not even feel the need to write about barrons. My simple advice is: do not even touch that book unless you want to have some fun because the questions have nothing to do with real gmat questions.
I scored 680 (Q47 - V35) on the first gmatprep exam. Paradoxically, after studying with the OG, I scored 610 (Q48 - V25) on the 2nd one.
My scores on paper tests are as following: 640 (no:31), 740 (no:14), 700 (no:48), 670 (no:25), 600 (no:37), 680 (no:55).
NB: Reading comprehension questions on the paper tests are exactly the same as the ones that you find in the OG. There are also other questions which are the same.
With Kaplan, I scored 590 on the 1st, 560 2nd, 580 3rd and 550 on the 4th CAT. Kaplan's questions are more difficult (especially quant questions). I've also heard that Kaplan's algorithm tend to score lower than gmatprep's algorithm.
My question for people who have some good gmat experience is: What score should I expect on test day?
Thanks very much,
Efe
I will take the gmat on the 31st (I know, it's not the best day to take the gmat but I just wanted to make it special
) and as the exam is approaching, I can't stop thinking about it - especially the score that I will get.To prepare the exam, I used several sources: the official guide, paper tests, barrons, princeton and kaplan. I also tried the tests that come with the gmatprep software.
I think that the OG is an indispensable tool because the questions have appeared before, so they are the real ones which are supposed to be similar to the ones that you will encounter on the real thing. Kaplan and princeton give you good advices and some good strategies, which can seem quite odd at the beginning.
The paper tests are not bad but actually the questions are much easier than the questions that you encounter on the gmatprep software. But they are also scored differently - actually, you can score Q47-48 on the gmatprep by doing 10 or even 12 mistakes but in order to get in that territory on paper tests, you need to answer no more than 3 or 4 questions wrong.
I do not even feel the need to write about barrons. My simple advice is: do not even touch that book unless you want to have some fun because the questions have nothing to do with real gmat questions.
I scored 680 (Q47 - V35) on the first gmatprep exam. Paradoxically, after studying with the OG, I scored 610 (Q48 - V25) on the 2nd one.
My scores on paper tests are as following: 640 (no:31), 740 (no:14), 700 (no:48), 670 (no:25), 600 (no:37), 680 (no:55).
NB: Reading comprehension questions on the paper tests are exactly the same as the ones that you find in the OG. There are also other questions which are the same.
With Kaplan, I scored 590 on the 1st, 560 2nd, 580 3rd and 550 on the 4th CAT. Kaplan's questions are more difficult (especially quant questions). I've also heard that Kaplan's algorithm tend to score lower than gmatprep's algorithm.
My question for people who have some good gmat experience is: What score should I expect on test day?
Thanks very much,
Efe
