Quantbuddy

Just out of curiosity, how did you get the opportunities to learn these while in undergrad? Were they topics you just self-taught? That is the best I could do with Bayesian stats as my school doesn't offer undergraduate courses for either of those two, which seems to be the common case. Yeah, no classes on that, and hardly any of my professors know about these concepts. I became interested in the validity of likert scales one day, and from that, I learned there is a lot to testing and psychometric properties. So I read a bunch and just taught myself what I know.

I also indicated S.R. I actually wrote about him in my statement because his work on IRT and multilevel modelling is what got me interested in the field. I feel the same way about getting an interview; if I can get one, Im very confident in displaying the broad array of concepts that I have in the field.

I am applying straight out of undergrad, but I have done work with IRT, CTT, and DIF this semester. These are my own ideas and experiments that I have had the opportunity to get a faculty member's help with. Im even currently designing a scale for technology endorsement. It's difficult because I am an undergrad; so likewise I made it a point to stress my knowledge on multivariate and Bayesian stats. But with no formal research or publications, I just gotta hope for the best. I applied to UCLA, UCMerced, UBC, York University (cause Dr. Chalmers is there!) Notre Dame, UVA, and CSUN. Hopefully something gets resolved in this upcoming week. ?

Me too! I didn't have any formal research experience when I applied, but I have headed a few of my own experiments with faculty members, as well as a bit of lab experience. I'm hoping that my focus on things like IRT will go along well when the apps are being reviewed. Still waiting to hear from all 7 schools I applied to. Hope we all get some good news soon. ?