Hello all, I?m a psychology graduate student. Our stats education was mostly an introductory text on basic statistical methods (descriptive stats and inferential stats, like some basic probability, t-test, one-way ANOVA, correlation and regression, some non-parametric tests) and Tabachnick & Fidell?s ?Understanding multivariate statistics? (also an introductory SPSS course). We didn?t get a look inside fields like computational statistics, data / data base management, neural networks or system theory.
In my opinion, this is not enough. Personally, I want to get a much deeper look inside statistics and data analysis, as well as mathematical backgrounds (a mathematical ?backbone?) to get a profound knowledge of (and become more competent in) these fields. My goal would be to cope mostly in fields like market research, biometry (e.g. pharmaceutical research or any kind of clinical research) or (program) evaluation, but also in fields like complex behavior prediction / prognosis (e.g. costumer?s behavior or traffic behavior), decision making processes, development of decision strategies, development of complex psychological assessment tools (based on IRT Models) or even statistical consulting. Are there any recommendations on books (a books list / curriculum) I should / could study (English or German)? It will take ?some? time, I?m aware of that, but I really want to try. Thanks and regards, Daniel . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
