Sentence examples for test bias from inspiring English sources

Exact(29)

All it took to damage their performance was a single question about test bias against their racial group, embedded in a short questionnaire before the test.

Most interestingly, test bias was most pronounced for the Raven Advanced Progressive Matrices in all three studies; indicating that additional item design features may exist, which induce measurement- and/or test bias in favor of adult males.

By contrast, the use of overlays and fused geometrical elements merely led to a slight decrease of the latent inductive reasoning/Gf saturation with no effect on the likelihood of differential item functioning and/or test bias (study 3).

The results indicated that more complex figural matrices elements (study 1) and rule direction ambiguity (study 3) constitute item design features, which increase the likelihood of differential item functioning and/or test bias in favor of adult males.

Item response theory was used to evaluate differential item functioning, while multi-group mean and covariance analyses enabled the separation of variance components due to the latent inductive reasoning/Gf trait from test bias variance components.

There is a heated debate on whether observed gender differences in some figural matrices in adults can be attributed to gender differences in inductive reasoning/Gf or differential item functioning and/or test bias.

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Similar(31)

In their 2004 article, MacKinnon et al. concluded that besides product of coefficients test, bias-corrected bootstrap had accurate Type I errors and greatest power.

We called the academic discipline "statistics" and used its fundamental concepts – means, medians, probability distributions, sampling, significance tests, bias etc – as ways of extracting meaning from data.

There's no testing bias in the sense that, I think one of the challenges of AI is actually creating the right benchmarks.

Critics of the College Board have argued that its standardized tests bias the college-application process against less-affluent students.

In order to minimize the risk of a pre-test bias, we additionally considered the Bayesian information criterion (BIC) for our model selection.

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