Update: I have done some "introspection" and I have found that my interest in quantitative psychology goes into two directions: One is relevant to clinical psychological assessments for routine use (the idea that we should quantify treatment outcome based on regular data collection in order to justify or calculate the cost-efficiency or the effectiveness of psychotherapy). This one seems to, to my knowledge, involve psychometrics, IRT, longitudinal analysis, growth modeling (for identifying the crucial points e.g., when to alert the therapist that the therapy tactics employed are not working), and potentially CAT (I had a crazy idea of trying to combine CAT into routine assessment in order to achieve similar or better result of doing all generic, diagnosis-specific, idiosyncratic surveys in a more efficient manner) The other is relevant to more theoretical side of research methodology, which includes formal epistemology (causal inference for example, agent-based modeling for another example), and some interesting facts that people seem to have done, to my knowledge, limited research on (e.g., the selection bias by using psych class subject pool, how exactly does this bias the data, what tactics can we employ to help adjust it; careless response; missing data). School (Faculty) I have looked at and am sure to apply to are: UNC-CH (Patrick) UCLA (Jennifer) UIUC (Chang) OSU (Edwards) Cambridge (Rust; MPhil in social and developmental psych) CMU (under philosophy department, Logic, Computation, and Methodology) Some schools I am thinking but have not identified the specific faculty are: ASU/Notre Dame/U of British Columbia/Boston U I would really appreciate if you may give me some suggestions on faculties/school based on my identified interests. Thanks!