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The problem with testing isn't that it's inaccurate, but that it's a poor tool for the problem that it's being used to solve. You can't express "likelihood of s
by hooande 5y ago
The problem with testing isn't that it's inaccurate, but that it's a poor tool for the problem that it's being used to solve. You can't express "likelihood of success in college" in one number. Looking back on my time in college, the idea that my success could be predicted by my knowledge of geometry and vocabulary words is laughable.
If there was a test that could accurately predict someone's chances of "success", be it SAT or IQ test, it would be used by everyone for everything. Billion dollar companies would be giving CEOs a version of that test before hiring them. A near perfect SAT score is noteworthy personal trivia, but other than that it loses all meaning as soon as someone steps on campus.
Schools with strong brands use tests because they have way more applicants than they can properly review. Standardized testing is made necessary by scale, not predictive accuracy. I'm sure that anyone who has worked in college admissions for years has a very clear picture of what a successful student looks like. But there doesn't seem to be a way to quantify and codify that knowledge. And there likely wouldn't be time to apply it to tens of thousands of people in a few months anyway. So, standardized testing is what we have until someone comes up with something better.
- toomim 5y ago> the idea that my success could be predicted by my knowledge of geometry and vocabulary words is laughable. You really should look into the g-factor research. This isn't about knowledge, but rather performance. It turns out that your performance on geometry and vocabulary tests is highly correlated with your performance on tests in such disparate fields as Classics and Music: https://en.wikipedia.org/wiki/G_factor_(psychometrics)#Cognitive_ability_testing https://en.wikipedia.org/wiki/G_factor_(psychometrics)#Cogni... The crazy result in general intelligence is that your performance in all these areas is highly correlated, and incredibly correlated with career success: > "Research indicates that tests of g are the best single predictors of job performance, with an average validity coefficient of .55 across several meta-analyses of studies based on supervisor ratings and job samples."