Jump to content

PsychStats

Members
  • Posts

    11
  • Joined

  • Last visited

Profile Information

  • Location
    US
  • Interests
    Multivariate, longitudinal, missing data.
  • Application Season
    2016 Fall
  • Program
    PhD Quantitative Psychology

Recent Profile Visitors

1,106 profile views

PsychStats's Achievements

Decaf

Decaf (2/10)

0

Reputation

  1. The advise from most people here is excellent. Just adding an extra idea, since you mention you plan to learn R and the fact that you are not sure whether you will like methodological research: Maybe when you are learning R, ask your professor to help you set up a small simulation study. It does not have to be a hard topic, just something simple and obvious, but it can give you an idea of what research is like in quant psych (which is very, very different from applied research). Obviously not all research in quantitative psychology is based on simulations, but it is a good introduction to seeing whether this is something that you might enjoy or not. If you end up loving it, then you are probably in the right field, and you can take the math classes later to get a stronger background. If you end up finding it repetitive and dry, then you know that this is not your area.
  2. Me! Me!! Thanks for creating this post, by the way. It seems like there's only so few of us! I applied to NC Chapel Hill and Notre Dame as well! And a few others (UCLA, Arizona, Merced, Virginia...). I am interested in longitudinal and multivariate. I agree that the wait is nerve-wracking... I saw that UNC already sent their invitations for their visit/interviews. Did anyone get one?
  3. Thank you so much for your responses, this is very helpful! And it's good to hear that it is possible to make the program more psych or quant oriented according to who we work with and the classes we take.
  4. Hi, I am looking into applying at Quantitative Psychology programs. The field is small, and there are only about 20 programs in the US. As I looked through the programs, I noticed that some tend to lean more so towards being Psych-heavy and some more Quant-heavy. I am interested mostly in the Quant-heavy programs since I have a strong stats background. However, it is not always easy to tell which are more quant vs psych oriented. Does anyone know which are the most Quant-heavy programs? My impression so far is Kansas, U of VA, Chapel Hill, Notre Dame, Southern CA are Quant-heavy. Are there any others that I'm missing? Thanks!
  5. Thanks, footballman! Yes, I really like Manhattan for now!
  6. Thank you, footballman! Yes, I read the discussion. I think I am a bit overwhelmed about the SOP, but you are right, it am probably thinking too much of it and shouldn't try to narrow down my interests.
  7. Hi, I plan to apply for Stats and Biostats programs. My understanding is that Stats research is generally more theoretical, and Biostats research is pretty applied. However, I am working on my SOP and looking through faculty interests, and I am having difficulty drawing the line of what would be considered theoretical vs applied, and how to express my research interests. My current thesis is on missing/longitudinal data, and I’m working with simulations. To me, this is theoretical, but it has application (in clinical trials, for instance). I would love to mention my current thesis/research in my SOP, but would this reflect a theoretical interest (Stats) or would this still be applicable to Biostats as well? In Biostats, is the expectation that research will be done on a specific field (like environment, cancer, etc.)? Also, how many interests is it appropriate to mention in the SOP? Obviously missing data / longitudinal data is something that I enjoy researching. But I also like research in the healthcare field and in education/social science (I did internships in both settings). Mentioning this, would it make my SOP sound too much all over the place, or is it appropriate to mention it? I imagine that mentioning healthcare research in Biostats is appropriate, but what about in Stats? Thanks in advance for any insight!
  8. Thanks, Efh! I am using Manhattan 5lbs of Practice Problems. So far I like it. I'll look into Magoosh.
  9. Footballman, thank you! Yes, I have been studying for the GRE and plan to take it by the end of the month. Thank you for suggesting Michigan State, I had not considered it initially, and I'm now looking through the faculty/research in the department.
  10. Bayesic, Thank you so much for your feedback! This really helps
  11. Hello! I am looking into applying for Statistics PhD programs, and I was hoping for some feedback/input. My background was originally in Psychology. I have a bachelors in Psych with minor in Math, masters in Psych, worked for 5 years in psych hospitals and social work. I've always loved Math, though, and I came back to school for a Masters in Math with concentration in Statistics. I'm loving the program! I graduate in December, and I am considering applying for PhD programs in Statistics. 1) Given my profile, if I was going to apply to 10 PhD in Statistics programs, what would be some recommendations of schools that I should look into? What programs would be within my range, maybe some reach, and some "safety" programs (if any?). 2) My GRE scores are from 3 years ago. I studied extremely hard for the Verbal portion, and that's my absolutely highest verbal score that I can get. In the Quant portion, I'm sure I could get a better score if I retook it now. However, if I do that, it is very likely that my verbal score will drop. Is it worth retaking it? 3) Part of my debate is applying this year vs waiting an extra year to apply. Pros of applying now: I would love to start the PhD program ASAP, it will probably be an easier transition than getting back to school after 2 years of working. Pros of waiting a year to apply: Less stress than applying for schools while finishing my thesis, maybe retaking the GRE again to improve my Quant score, a couple of years of experience working. However, I have read some comments where people recommended against waiting an extra year to apply because programs are becoming very difficult to get into. Thoughts regarding applying now with my current profile vs later? Undergraduate: Small state university in FL Psychology with minor in Math GPA: 3.83 Courses: Undergrad Math classes: Calc II (A), Calc III (A), Ordinary Diff. E. (A), Foundations of Math ( , Modern Geometry (A), Linear Algebra (B-), Real Analysis (A), Prob/Stats (A). Graduate: Small university in FL Masters in Math with concentration in Statistics GPA: 3.60 Courses: Grad classes: Computing Intensive Stats (A), Probability (B+), Advanced Linear Algebra (B+), Stats Methods I (A-), Design of Experiments (A), Numerical Analysis (B+), Sampling (B+), Math Stat I (A). GRE: General: Verbal 157/74%, Quantitative 162/83%, Writing 4.5/80% Research Experience: I am currently working on a thesis on missing data, and I am finishing a 9-week internship in research in education. Research Area Ambitions: Not sure. My current thesis is on missing data, and so far I'm enjoying it, but I don't have a strong preference towards any particular topic. Letters of Recommendation: I am pretty sure I can get at least one strong letter from a professor, and hopefully another strong letter from my thesis adviser. The third letter will probably be the typical "got an A in my class".
×
×
  • Create New...

Important Information

This website uses cookies to ensure you get the best experience on our website. See our Privacy Policy and Terms of Use