Okay. As part of my prep for grad school, I of course have to take the GMAT. My most recent combined score was a 530 (up marginally from a 490 on another prep test). A big area in the quantitative section which is giving me trouble are the data sufficiency questions. I just don't think in that mindset, I'm not trained to just stop at "do I have enough data to solve the problem?" as most of the problems I have been given have contained all the data I needed to solve the problem (i.e. problems in my math classes) or I know where to get relevant data to solve a problem. But these data sufficiency problems are just... weird.
I've been using Kaplan's books for the math and verbal sections of the GMAT (the math book is a combined GRE/GMAT book). The verbal book has been great, but the math book doesn't really offer much in the way of useful information or strategies for the data sufficiency section. I attempted one of the book's sets of data sufficiency questions this evening, and I got like 8 out of 25 correct. And that's with the Kaplan method.
As I said my most recent practice test was a 530, and I need at least a 650 to be competitive for admissions and financial aid in GSU's program (minimum GMAT is 600). I intend to take the GMAT before Christmas, as I want to be ready to make early admissions for GSU. So... Any siggestions on how I can "get" data sufficiency problems/"get" the quantitative section of the GMAT?