I've read Aronson's book, and I think there is a big danger that on reading it you will come to a wrong conclusion about technical analysis. He looks at very basic indicators like stochastics, CCI, and then does statistical tests on various instruments on a daily timeframe (looking at different strategies of how to use stochastics), and finds technical analysis doesn't work (to statistical significance). That seems true to me too. If you expect to use a lagging indicator (which lags at the timeframe you are looking at-in his case you are lagging an entire day!) and make money just with that, then good luck!
He doesn't use support and resistance or trend identifications (which are surely the most important part of TA), and he doesn't even use combinations of indicators, or look at lower time frames where the lag might not be so bad. In short, the book will tell you very little. To be fair to Aronson, he does do his statistics nicely, and he does mention throughout the book, that traders using TA will rarely just use a stochastics on its own, and he also mentions some research papers in which TA has been shown to make statistically significant returns. Also he is one of the few authors that have actually approached the problem.
If you are really interested in academic research, you should take a look at some of Andrew Lo's work (MIT). He has done some interesting research, is an advisor to many hedge funds (maybe he even runs his own now, no idea), and he gave the Nomura lecture this year in Oxford.