very messy and questionable surveys with r^2 values usually <.5
…or…
get a large data set, run a regression to estimate coefficients (not really relevant in this case)
Anyways it’s not like this thing is ever going to matter, I had some extra time and decided to have some fun
Survey data samples are by definition biased and of poor data quality and R squared is expected to be low, what bad scientists do is create a regression curve and then draw highly irresponsible conclusions from it.
See that latest “too much free time is bad for you” study and the corresponding R squared fiasco.
Congrats on the effort. In this specific case I’m not same random dude on a lifting forum but someone who published papers about tangentially related stuff, so I’m not saying this lightly.
Word of advice - if you have a good (and tough) advisor, in efforts such as these the first thing he/she will jump on you is the distribution assumptions, which is especially pertinent in social sciences - for example, why is warmth normally distributed. The second thing would be codification of variables and so on.
But again, your efforts are impressive, keep up the good work - look at your data, look at potential biases in your samples and be wary of drawing overreaching conclusions. If it looks too good to be true, it probably is.
In addition, statistical analysis and modeling in general are in many instances reduced to a cookie cutter approach (calculate R squared, assume normal distribution and run a regression) that knowledge of the underlying mathematical tools (and of course that damned R) can get you ahead.
i can’t really call myself a scientist yet, but I spent most of the summer reading papers and I was genuinely shocked at the lack of rigour in some studies, even by well regarded researchers
This is purely for fun- mental masturbation so to speak (in my case, this is probably more literal than I’d like to admit).
I’m taking a course where we do a lot of this type of modeling but for macro stuff. It’s been so fun. I figured I’d try this out for other stuff.
I wrote one for how to allocate time to assignments and when to skip line (written during a 90min wait in package pickup)
The biggest problem right now is that there’s nothing to maximize so in Econ terms, it’s useless.
Agreed!!!
Quite a few of my professors don’t actually quite understand the maths behind what they are doing.
I feel stata and spss just perpetuate the problem
Not the best, a few just grossly uneven edges, but it gets the job done. Felt good to break out the tools again, first chance I’ve had at woodworking in years
Thanks man, appreciate it. It’s actually the first woodworking thing I’ve ever done on my own. Always worked with my dad growing up, and this is the first place I’ve had since moving out where I had a garage and tools. Kind of nice to see that all those summer days with the old man taught me a few things.
On that note, threw this together. Got tired of just jumping up on my bench, wanted a real box
I’d need a drill press. I do all of the drilling now just with a regular hand held drill.
I might at some point though. Most of the stuff I do now is to repair and maintain my ole buddies tree service equipment, but we’re also steadily assembling a light fab shop in the process.
I’ll probably be making more of these soon enough:
My timing was way off that day. I was racing and missing tie-ins under the false belief that the last tiny bit of wire on the spool was about to run out.
This is the tail end that will not end. I got another 24 inches of weld out of it yesterday.
I’m taking a class on info econ (grad class). Our final assignment is to write or extend a model. I decided to write one for a really cool paper authored by a grad student who I used to help and coauthored by my advisor and former bosses. It’s on “near miss detterence”. AKA, almost getting caught makes you less likely to cheat in a subsequent round.
I sketched out a model and I’m sooo proud of it