Sentences with phrase «classification errors»

"Classification errors" refers to mistakes or incorrect predictions made when categorizing or classifying something into different groups or categories. It means that the system or person making the classification made an error or got it wrong. Full definition
Classification errors associated with performance measures based on student test scores are quite high.
Serious consequences arise when measures are not valid and reliable: they increase classification errors — the placement of teachers into incorrect performance categories.
There may be fewer value - added classification errors for more experienced teachers because the first two years of teaching may be particularly volatile.
In addition to considering the magnitude of both types of classification error, it is important to consider the consequences of error.
As a result, the analysis of potential student classification errors is important both for students and schools.
Both the Goldhaber and Hansen (2008) and the Atteberry, Loeb, and Wyckoff (2012) studies describe classification errors in the evaluations of new teachers.
Having described the concepts of false positives and false negatives, we now review what is known about classification errors and their tradeoffs.
One advantage of this approach is that it does not presume that student test scores should be the primary metric by which classification errors are judged.
While classification errors are an inescapable part of decisions that rely on grouping by teacher performance, better measurement of performance can reduce these errors.
The DR approach to screening and intervention is expedient, but it requires even greater accuracy levels from a screening instrument since there is no further assessment to correct initial classification errors (Johnson, Humphrey, & Mclenna, 2008).
Should you trust a spike in a non-driving activity or is it a momentary classification error?
By estimating a generalized model in which probability of trajectory group membership was conditional on individual characteristics and the trajectories themselves were jointly estimated, we avoided biases in statistical tests due to classification errors in trajectory group membership.
These mistakes can be quite costly for businesses, as differences in tariff rates mean that a company making a classification error will either pay too much in tariffs or face a retroactive tax bill if they accidentally classified a product at too low a rate.
The new article's authors claim the original scholar committed «classification errors» because some of the same - sex relationships were very brief, even evanescent affairs, and so what he should have done is what they proceed to do: toss out data until they get a handful of same - sex households where a couple stayed together at least several years.
There are classification errors, and many famous scientists are excluded at this point for technical reasons.
This type of misclassification helps tell us how well we can predict future measured performance, and, to the extent that true teacher performance is stable across time, it also provides information about how imprecise measures may lead to classification errors.
We can reduce these classification errors by using multiple measures to improve validity and reliability, and by creating additional checks and balances when making high - stakes decisions.
Classification errors are troubling in and of themselves, but they are particularly worrisome when classification is used to sanction teachers.
Classification errors can be separated into «false positives» — putting a teacher into a group to which he does not belong — or «false negatives» — not classifying him into a group into which he does belong.
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