Sentences with phrase «fully account for the differences»

I can not fully account for the difference between the paper and electronic logbooks, but I suspect that it has to do with (a) the fact that students read each other's entries and saw how much their colleagues progressed, and (b) the fact that I naturally respond at greater length when I type than when I scribble in the margins.

These results suggest that this explanation can not fully account for the differences we observe.

In addition, to address the possibility that physicians» age may not fully account for the differences in clinical experience between female and male physicians, we further adjusted for physicians» years in practice as measured by years since completion of residency.

: — RRB - 99 % of ALL the research papers ever published don't fully account for the differences between women and men!

That means 99 % of ALL the research papers ever published don't fully account for the differences between women and men!

Once we adjusted the data for the effects of socioeconomic status, birth weight, participation in WIC, and a few other variables, we were able to fully account for the difference in test scores.

Beginning with James Coleman's research in the 1960s, comparisons of public and private schools have suffered under a powerful critique: that such comparisons can never fully account for differences in the types of students who attend public and private schools.

Not exact matches

As the cohort ages, differences are accounted for more fully by differences in income from the 3rd pillar, especially after age 70.

I have heard that the bobblehead factory's locality pay difference doesn't fully account for all of the ways that Hawaii is more expensive, so some bobblehead lineworkers feel like they've taken a pay cut by going there.

Quiz Ref IDFirst, as is the case for any observational study, we could not fully account for unmeasured differences in the risk of death and readmissions between patients of male and female physicians.

First, as is the case for any observational study, we could not fully account for unmeasured differences in the risk of death and readmissions between patients of male and female physicians.

In discussing the limited evidence for the «probable» link between red meat and colorectal cancer, the WHO itself concedes that it is not possible to rule out other explanations (which it helpfully describes as «chance, bias or confounding»).2 Harcombe agrees, arguing that even when studies strive to adjust statistically for baseline differences in relevant factors such as socioeconomic status, body mass index, physical activity, smoking status and diabetes, it is impossible to grapple fully with all the factors that differentiate «the couch potato» from «the paleo buff» (her ideal), or to take into account the «chasm» that separates fresh and traditionally preserved meats from modern manufactured meat products.9

Only after these background factors are fully accounted for is the second step taken — a look at the characteristics of the schools that make the biggest difference in determining the variation in student achievement.

If value - added estimates do not fully account for unobservable differences in students, then we would expect to see this pattern — the variance in teacher value - added is greater at the elementary level perhaps because of biased estimates.

The IPCC TAR, which you are fond of quoting, says «Discrepancies between MSU and radiosonde data have largely been resolved, although the observed trend in the difference between the surface and lower tropospheric temperatures can not fully be accounted for.»