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Found 6 results

  1. Hello. I am an international applicant from S. Korea. I got all rejections except one schools among 20 this cycle. After looking all the other applicants' experiences, I think I need a masters. (BA Iranian Studies, 3 yrs experiences in defense industry, zero research experiences) At this point, I only have three options. Which one will be the best choice for my Ph.D? I would like to explore my interest in the IR field, also make a good choice for my Ph.D. during Masters. 1. MSc Social Science Research Methods(Politics) 2. MSc International Security 3. MSc International Relations Please give me a piece of advice guys. Thank you in advance!
  2. Hello everyone! My name is Vic (they/them) and I’m attempting to find a statistics and methods workshop to keep myself busy. I understand YouTube has plenty of informative videos but I find that I learn better when I’m interacting with the lecturer and other students in the class. If you have any suggestions please let me know!
  3. Hey guys, I am a new grad student and today i went to talk to my adviser and i was crashed hard by what he said. We will talking about possible topics of my interest and he ask me questions like what is your independent and dependent variables, types of research. I couldnt answer because i have not touch any of those courses yet. So he was surprise that i have no background. Am i the only on thinking i was this bad ? or was he just pushing me hard ? Also is there anyone that can help me with my purpose statement ? i have ideas but it just dont look right when i put them together . ( and figuring what is DV and IV) Really appreciate it
  4. Hi guys, I am working on my Masters Thesis methods section and need some advice. I am looking for a math related concept or task that has the following traits. (math is not my specialty so I figured asking the experts might me more beneficial then going it alone) 1.Multiple identifiable difficulty levels 2.The difficulty levels have to be verified in some way -Such as subject matter expert ratings - Some sort of research study that has identified the difficulty - A previously validated pool of items (as in a good number of participants have all taken the items and we can thus find the average difficulty and put them into level) - I am sure there are other ideas that might work 3. I have to be able to teach the concept/task (to undergrads) For example, summation notation might be an example (in this case I would not know were to find the questions) Does this make sense? In essence there are two groups. A control that gets a normal type of training and practice time and an experimental group. The experimental group will be taught a concept (e.g., summation notation etc) and then take a test to measure their ability level. They will subsequently be categorized into levels based off their ability (into level that correspond with their ability) and will be moved around the questions like they might be in an adaptive test. Specifically, if they get a question right they would move up in difficulty and vice versa. When you get a chance, any ideas would be very helpful. Thank you for your time!
  5. After a long hibernation, I'm emerging-- with questions for the informed! I will have one free course next quarter in my area studies terminal MA program (terminating in June), and I'd like to take that chance to bolster my quantitative skills, which I currently lack. The issue is, I have many options available to me for a one-course venture into mathematical/statistical methods. My background: BC calculus from high school. Previous posts on this issue suggest two philosophies: i) cover specific topics relevant to statistical social science work, or ii) just get the fundamentals of math down (calculus, differential equations, linear algebra, etc) that will allow someone to access the necessary coursework when the time comes. The trade-off is one of timing-- if you want to use quantitative methods on the job before pursuing a PhD, are there any topics that must be covered beforehand? To help me decide, and especially to help me distinguish the different syllabi available to me, I ask the forum what topics need to be covered in order to: 1) Signal quantitative ability to ad-com's; 2) Signal quantitative competence to potential public/private sector employers; 3) Enhance my ability to conduct political science and/or policy-relevant research (two questions, I know); The more specific one can be about topics that ought to be covered in methods, the better-- it will help me and whoever else faces a similar situation in the future compare syllabi. Currently I am looking at two stats-for-social scientists courses, one with a heavy R software emphasis and the other more theoretical; one statistics department course (still more theoretical, but it's hard for me to judge); and finally, a linear algebra/multivariate calculus course that itself would not contribute to research methods but would allow me to study econometrics and intermediate microeconomics on my own following the completion of my degree.
  6. I want to gauge the sentiments of the board about the extent of status effects on sociology applicants/grad students/job seekers according to their research methods. I think the ideal answer is that different methods are equally valuable depending on the research question. I suspect the real answer is that the professional culture of sociology displays a preference for quantitative methods (stats at least. More advanced mathematical methods are perhaps another issue). What are your opinions? Is there a bias against purely qualitative methods (e.g. ethnography) in sociology? Are these papers less likely to be published in top journals? Should applicants be discouraged from highlighting "qualitative" research interests during the admissions process? I am expecting that responses may look like, "Qualitative methods are fine for lower-tier programs, but rare in the upper echelons." Am I wrong?
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