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Troy Patterson

Homework: An unnecessary evil? … Surprising findings from new research - The ... - 0 views

  •  A brand-new study on the academic effects of homework offers not only some intriguing results but also a lesson on how to read a study — and a reminder of the importance of doing just that:  reading studies (carefully) rather than relying on summaries by journalists or even by the researchers themselves.
  • First, no research has ever found a benefit to assigning homework (of any kind or in any amount) in elementary school.  In fact, there isn’t even a positive correlation between, on the one hand, having younger children do some homework (vs. none), or more (vs. less), and, on the other hand, any measure of achievement.  If we’re making 12-year-olds, much less five-year-olds, do homework, it’s either because we’re misinformed about what the evidence says or because we think kids ought to have to do homework despite what the evidence says.
  • Second, even at the high school level, the research supporting homework hasn’t been particularly persuasive.
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  • It’s easy to miss one interesting result in this study that appears in a one-sentence aside.  When kids in these two similar datasets were asked how much time they spent on math homework each day, those in the NELS study said 37 minutes, whereas those in the ELS study said 60 minutes. 
  • it was statistically significant but “very modest”:  Even assuming the existence of a causal relationship, which is by no means clear, one or two hours’ worth of homework every day buys you two or three points on a test.
  • There was no relationship whatsoever between time spent on homework and course grade, and “no substantive difference in grades between students who complete homework and those who do not.”
  • The better the research, the less likely one is to find any benefits from homework.
  • you’ll find that there’s not much to prop up the belief that students must be made to work a second shift after they get home from school.  The assumption that teachers are just assigning homework badly, that we’d start to see meaningful results if only it were improved, is harder and harder to justify with each study that’s published.
  • many people will respond to these results by repeating platitudes about the importance of practice[8], or by complaining that anyone who doesn’t think kids need homework is coddling them and failing to prepare them for the “real world” (read:  the pointless tasks they’ll be forced to do after they leave school).
Troy Patterson

The Sabermetrics of Effort - Jonah Lehrer - 0 views

  • The fundamental premise of Moneyball is that the labor market of sports is inefficient, and that many teams systematically undervalue particular athletic skills that help them win. While these skills are often subtle – and the players that possess them tend to toil in obscurity - they can be identified using sophisticated statistical techniques, aka sabermetrics. Home runs are fun. On-base percentage is crucial.
  • The wisdom of the moneyball strategy is no longer controversial. It’s why the A’s almost always outperform their payroll,
  • However, the triumph of moneyball creates a paradox, since its success depends on the very market inefficiencies it exposes. The end result is a relentless search for new undervalued skills, those hidden talents that nobody else seems to appreciate. At least not yet.
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  •  One study found that baseball players significantly improved their performance in the final year of their contracts, just before entering free-agency. (Another study found a similar trend among NBA players.) What explained this improvement? Effort. Hustle. Blood, sweat and tears. The players wanted a big contract, so they worked harder.
  • If a player runs too little during a game, it’s not because his body gives out – it’s because his head doesn’t want to.
  • despite the obvious impact of effort, it’s surprisingly hard to isolate as a variable of athletic performance. Weimer and Wicker set out to fix this oversight. Using data gathered from three seasons and 1514 games of the Bundesliga – the premier soccer league in Germany – the economists attempted to measure individual effort as a variable of player performance,
  • So did these differences in levels of effort matter? The answer is an emphatic yes: teams with players that run longer distances are more likely to win the game,
  • As the economists note, “teams where some players run a lot while others are relatively lazy have a higher winning probability.”
  • There is a larger lesson here, which is that our obsession with measuring talent has led us to neglect the measurement of effort. This is a blind spot that extends far beyond the realm of professional sports.
  • Maximum tests are high-stakes assessments that try to measure a person’s peak level of performance. Think here of the SAT, or the NFL Combine, or all those standardized tests we give to our kids. Because these tests are relatively short, we assume people are motivated enough to put in the effort while they’re being measured. As a result, maximum tests are good at quantifying individual talent, whether it’s scholastic aptitude or speed in the 40-yard dash.
  • Unfortunately, the brevity of maximum tests means they are not very good at predicting future levels of effort. Sackett has demonstrated this by comparing the results from maximum tests to field studies of typical performance, which is a measure of how people perform when they are not being tested.
  • As Sackett came to discover, the correlation between these two assessments is often surprisingly low: the same people identified as the best by a maximum test often unperformed according to the measure of typical performance, and vice versa.
  • What accounts for the mismatch between maximum tests and typical performance? One explanation is that, while maximum tests are good at measuring talent, typical performance is about talent plus effort.
  • In the real world, you can’t assume people are always motivated to try their hardest. You can’t assume they are always striving to do their best. Clocking someone in a sprint won’t tell you if he or she has the nerve to run a marathon, or even 12 kilometers in a soccer match.
  • With any luck, these sabermetric innovations will trickle down to education, which is still mired in maximum high-stakes tests that fail to directly measure or improve the levels of effort put forth by students.
  • After all, those teams with the hardest workers (and not just the most talented ones) significantly increase their odds of winning.
  • Old-fashioned effort just might be the next on-base percentage.
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