On the numbers - grad app misconceptions

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InNae

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(aka The Grad App equivalent of "will this be on the test?")

I have now had the initial fall semester classroom round of "will we be expected to know this?", "will this be on the test?", and "what do we need to know?". Predictably, this phase is followed by the early signs of the parallel fall grad applicant misconception that the number of lines on a CV are the only important thing. I'm sure not everyone will agree with the following, but let's get the discussion going!

In my opinion/experience regarding research-oriented (and many balanced) doctoral programs, here are common misconceptions regarding the numbers and my view on each:

Number of labs worked in. More is not better. What IS important is the quality of training and the depth of the experience. Depth: taking the initiative to conceptualize, design, and conduct a study, analyze the data, and then present the findings is more meaningful than running a ton of subjects, conducting a ton of interviews, or entering a ton of data, etc. If you can get meaningful (i.e., indicative of your ability to function as a PhD student) experience in one lab, great. Lots of my students have gone on to PhD programs after having "only" trained in my lab. It's also obviously a good idea to change labs if the research in Lab B is clearly a better fit for interests. I regularly see students trying to fill up their CVs with multiple labs (sequentially or simultaneously), but they're missing the point that WHAT is more important than how many, and they also run the risk of appearing to be unfocused and only superficially trained.

Number of years of research experience. More tends to be a bit better, to a point. For example, 2 years is usually better than 1, but it has nothing to do with the actual number. It generally is true that a high-quality, in depth training experience takes longer than one year, but I'm sure there are exceptions. However, something like 4 years is not necessarily better than 2, unless the 4 year person can clearly demonstrate productivity in skills and output in that time. Although in LORs I always state how long and in what capacity I have known a student, the actual content of the letter focuses on WHAT, not how long.

Number of letter writers. More is not better, and likely is worse. Some applicants get the idea than 4 or 5 letters is better than the requested 3. With rare exception, there is no way that all 4 or 5 writers can provide equally strong letters. Pick the 3 who are best able to speak to your potential for PhD programs (and try to make sure the writers understand what a PhD program entails, which is easiest if they all have PhDs rather than other degrees). I am continually amazed that my students don't seem to understand what goes in a letter, but suffice to say the strongest letters are those that are more detailed and specific regarding concrete skills, experience, and potential.

GRE scores. Minimum threshold/range (i.e., general range reported for your programs of choice) is great. Higher than threshold range is not better (unless nearly perfect, which is bizarrely impressive to some folks, considering GRE does not predict graduate performance). It IS better to use the time you would spend to try to bump your score by a few points on strengthening your research experience.

GPA. Minimum threshold/range is great. Higher is nice, but not at all necessary. I don't know a single faculty member anywhere who perceives a meaningful difference between, say, a 3.6 and a 3.8. Last two years usually is more important than first two. Having taken more potentially challenging courses and gotten slightly lower grades is better than taking obviously easy courses and getting higher grades. The point of your GPA is to demonstrate that you're able to do high-level college-level coursework, not that you were perfect in every course.

What do you guys all think? Applicants, are some of these news to you? Folks involved in admissions, your thoughts? Should I adjust my advising around some of these?
 
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The GRE is always a touchy subject (and I thought it at least predicted first semester GPA in grad school...? I could be wrong). I'd say that scoring above your particular advisor's threshold is where I'd want to draw the line, although that's nearly impossible to know. As such, I think the advice to aim to be at least near the middle of the range of scores for admitted applicants is solid and as safe a bet as any. If you get higher, great. If you're in there and are thinking of re-taking, like InNae said, spend the time elsewhere instead.

All in all, very good advice/points; I'm sure this will be useful to many current/future applicants.

One addition that springs to mind for me:

The strength of a graduate program is not always highly related to the strength/name of the undergrad program or of the school as a whole. Heck, the strength of particular labs can vary somewhat significantly within the same program.
 
(aka The Grad App equivalent of "will this be on the test?")

I have now had the initial fall semester classroom round of "will we be expected to know this?", "will this be on the test?", and "what do we need to know?". Predictably, this phase is followed by the early signs of the parallel fall grad applicant misconception that the number of lines on a CV are the only important thing. I'm sure not everyone will agree with the following, but let's get the discussion going!

In my opinion/experience regarding research-oriented (and many balanced) doctoral programs, here are common misconceptions regarding the numbers and my view on each:

Number of labs worked in. More is not better. What IS important is the quality of training and the depth of the experience. Depth: taking the initiative to conceptualize, design, and conduct a study, analyze the data, and then present the findings is more meaningful than running a ton of subjects, conducting a ton of interviews, or entering a ton of data, etc. If you can get meaningful (i.e., indicative of your ability to function as a PhD student) experience in one lab, great. Lots of my students have gone on to PhD programs after having "only" trained in my lab. It's also obviously a good idea to change labs if the research in Lab B is clearly a better fit for interests. I regularly see students trying to fill up their CVs with multiple labs (sequentially or simultaneously), but they're missing the point that WHAT is more important than how many, and they also run the risk of appearing to be unfocused and only superficially trained.

Number of years of research experience. More tends to be a bit better, to a point. For example, 2 years is usually better than 1, but it has nothing to do with the actual number. It generally is true that a high-quality, in depth training experience takes long than one year, but I'm sure there are exceptions. However, something like 4 years is not necessarily better than 2, unless the 4 year person can clearly demonstrate productivity in skills and output in that time. Although in LORs I always state how long and in what capacity I have known a student, the actual content of the letter focuses on WHAT, not how long.

Number of letter writers. More is not better, and likely is worse. Some applicants get the idea than 4 or 5 letters is better than the requested 3. With rare exception, there is no way that all 4 or 5 writers can provide equally strong letters. Pick the 3 who are best able to speak to your potential for PhD programs (and try to make sure the writers understand what a PhD program entails, which is easiest if they all have PhDs rather than other degrees). I am continually amazed that my students don't seem to understand what goes in a letter, but suffice to say the strongest letters are those that are more detailed and specific regarding concrete skills, experience, and potential.

GRE scores. Minimum threshold/range (i.e., general range reported for your programs of choice) is great. Higher than threshold range is not better (unless nearly perfect, which is bizarrely impressive to some folks, considering GRE does not predict graduate performance). It IS better to use the time you would spend to try to bump your score by a few points on strengthening your research experience.

GPA. Minimum threshold/range is great. Higher is nice, but not at all necessary. I don't know a single faculty member anywhere who perceives a meaningful difference between, say, a 3.6 and a 3.8. Last two years usually is more important than first two. Having taken more potentially challenging courses and gotten slightly lower grades is better than taking obviously easy courses and getting higher grades. The point of your GPA is to demonstrate that you're able to do high-level college-level coursework, not that you were perfect in every course.

What do you guys all think? Applicants, are some of these news to you? Folks involved in admissions, your thoughts? Should I adjust my advising around some of these?


The GPA and GRE advice is what I would expect. The lab stuff is very useful. I am currently trying to figure out if I should keep volunteering at the same lab and do a different project (if I am even able to, because they may not let me do two projects, even though I am able to commit), or if I should move on to a different lab (or maybe both), where I would pretty much be starting over... If I stuck with my lab it would be 2.5 years by the time I apply, but frankly, I haven't been able to do much except code data (but I actually get good experience watching therapy tapes and seeing participants through this), attending meetings, and being a pilot for studies. I am going to supplement this with a part time research job in an unrelated area where I strictly talk to participants to collect data though.

Is it taken in to account whether the position is paid or not? I have not been able to land a full time paid position doing research.. Lastly, what do you guys recommend if you just aren't getting the experience in a lab that you need? What if you have put in your dues but just aren't getting the opportunities you wish for? I don't want to be ungrateful or pushy, but I feel like I have done a good job and put in my dues, and I'm not too sure what to do...


Thanks for the post.
 
The GPA and GRE advice is what I would expect. The lab stuff is very useful. I am currently trying to figure out if I should keep volunteering at the same lab and do a different project (if I am even able to, because they may not let me do two projects, even though I am able to commit), or if I should move on to a different lab (or maybe both), where I would pretty much be starting over... If I stuck with my lab it would be 2.5 years by the time I apply, but frankly, I haven't been able to do much except code data (but I actually get good experience watching therapy tapes and seeing participants through this), attending meetings, and being a pilot for studies. I am going to supplement this with a part time research job in an unrelated area where I strictly talk to participants to collect data though.

Is it taken in to account whether the position is paid or not? I have not been able to land a full time paid position doing research.. Lastly, what do you guys recommend if you just aren't getting the experience in a lab that you need? What if you have put in your dues but just aren't getting the opportunities you wish for? I don't want to be ungrateful or pushy, but I feel like I have done a good job and put in my dues, and I'm not too sure what to do...


Thanks for the post.

This. I think the GPA disparity between a 3.5 to a 4.0 is really a luck of the draw (for the most part). Had I know ahead of time I would have chosen to have completed way more research that I had originally. That being said, I was very happy with my GRE score the first time around, so I can't really speak from experience there. Nice post!
 
Also, would you like me to submit it to the editorial board for review? It could make the front page, we need more articles from the psychology forums.
 
Great points, Acronym Allergy.

Chman, if a new lab will give you substantive experience beyond what you might do in your current lab, and you think you'll have time to get a strong experience in Lab 2, then sure, move on. I think another thing that students/trainees sometimes don't realize is that, with one caveat, most PIs will never stop a trainee from taking the initiative to learn more skills, start a new project, etc. The caveat is that the trainee must absolutely have demonstrated dependability and hard work in whatever tasks are already part of the position. For instance, if one of my trainees proposes a conference poster idea, I want to know that the trainee has been a hardworking, good lab citizen, and that the trainee has taken the time to learn the skills that are required to conceptualize/analyze/present the poster. Otherwise it's another one of those CV item problems - trainee wants to put in minimal effort for a line item and/or has not done the legwork to learn what actually is involved in a quality project.

The point is, if you are solid with the basics and willing to take the initiative (i.e., not create a lot of extra work for others), you might consider discussing the possibility of additional responsibility/involvement.

To the paid/unpaid question, I'm sure there are many opinions. Obviously we all have to eat, so paid is good. Aside from the personal finance aspect, in my opinion the sole additional benefit of a paid position usually is that it is full time and thus allows for more time learning and producing. Otherwise as far as I can tell it's not really important for grad apps. Anecdotally, I once heard of a POI doubting an applicant's research interest in an area because the applicant was paid (i.e., POI figured the applicant was only in the lab/that area for the money). I find this silly, but there you have it. Others might have different thoughts, but I'm neutral on paid/unpaid.

DaShiz, I'm open. I initially read your post as joking about the length of the OP 🙂. If only manuscripts and grants were this easy to write...
 
Great points, Acronym Allergy.

Chman, if a new lab will give you substantive experience beyond what you might do in your current lab, and you think you'll have time to get a strong experience in Lab 2, then sure, move on. I think another thing that students/trainees sometimes don't realize is that, with one caveat, most PIs will never stop a trainee from taking the initiative to learn more skills, start a new project, etc. The caveat is that the trainee must absolutely have demonstrated dependability and hard work in whatever tasks are already part of the position. For instance, if one of my trainees proposes a conference poster idea, I want to know that the trainee has been a hardworking, good lab citizen, and that the trainee has taken the time to learn the skills that are required to conceptualize/analyze/present the poster. Otherwise it's another one of those CV item problems - trainee wants to put in minimal effort for a line item and/or has not done the legwork to learn what actually is involved in a quality project.

The point is, if you are solid with the basics and willing to take the initiative (i.e., not create a lot of extra work for others), you might consider discussing the possibility of additional responsibility/involvement.

To the paid/unpaid question, I'm sure there are many opinions. Obviously we all have to eat, so paid is good. Aside from the personal finance aspect, in my opinion the sole additional benefit of a paid position usually is that it is full time and thus allows for more time learning and producing. Otherwise as far as I can tell it's not really important for grad apps. Anecdotally, I once heard of a POI doubting an applicant's research interest in an area because the applicant was paid (i.e., POI figured the applicant was only in the lab/that area for the money). I find this silly, but there you have it. Others might have different thoughts, but I'm neutral on paid/unpaid.

DaShiz, I'm open. I initially read your post as joking about the length of the OP 🙂. If only manuscripts and grants were this easy to write...

Great, thanks for the advice!

I have a year and some change before I plan on applying, which is barely enough time to get involved with another lab and do real work.

I have talked to the PI about getting more involved previously, and this person seemed open to it, but I have heard that this person sometimes frowns upon RA's doing multiple projects. I honestly believe I have done a great job; I have volunteered for any extra opportunities that are available, and didn't even miss lab meetings when I had some serious personal issues to deal with, which they were aware of. I would also think that they would want people from the lab to be successful, but IDK. I know that a lot of RA's come and go with various levels of interest, but I believe I have shown myself to be committed. I will do my best, and I guess maybe just talk to the PI and express myself honestly.
 
I enthusiastically agree, and I have been liberally disseminating the link. I'm hoping to get additional feedback on how to help students/applicants stop focusing on just "getting the numbers" for the CV, rather than focusing on the process, which (with the exception of GRE and to some degree GPA) is the most important thing.

Write it up as a column for the site. How to talk to your undergrads about grad school. 🙂
 
I feel like a lot of people are so concerned with getting in that they don't really think about the hurdles they'll have to climb after they do get in. I wish that people realized that getting in is actually one of the easier parts, sadly enough. Paying attention to things like practica availability, APA internship match rates, etc is extremely important for that reason.
 
I feel like a lot of people are so concerned with getting in that they don't really think about the hurdles they'll have to climb after they do get in. I wish that people realized that getting in is actually one of the easier parts, sadly enough. Paying attention to things like practica availability, APA internship match rates, etc is extremely important for that reason.

Be careful what you wish for I guess haha.

So what do you recommend then? Looking at the placements of schools you are considering?
 
Yes, definitely. You want to find out the details of your clinical training. For instance, do you begin seeing clients your first year? Your second year? When do you start external placements? What is the application process like? Is every student guaranteed a placement? Do the available practica meet your training goals?
 
Be careful what you wish for I guess haha.

So what do you recommend then? Looking at the placements of schools you are considering?

Well of course. Why wouldnt you?
 
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