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The opposite of standardized testing is non-standardized testing, in which either significantly different tests are given to different test takers, or the same test is assigned under significantly different conditions (e.g., one group is permitted far less time to complete the test than the next group) or evaluated differently (e.g., the same ...
Given the bias in favor of higher-income students, some suggest that standardized test scores may actually be the best indicator of success among lower-income students and students of color.
The origins of docimology can be traced back to the early 20th century, with the rise of standardized testing in education. Notable contributions include Alfred Binet’s work on intelligence testing and the subsequent development of psychometric theories by scholars such as Charles Spearman and L.L. Thurstone [8]. Over time, docimology evolved ...
Standardized tests are crucial in giving poor kids in America a shot. ... contrary to accusations of cultural bias, it is the math section that is hardest for students.
Dec. 27—Last week, we talked about the results of several national and international standardized tests. While standardized tests are good for comparing large groups to each other, they are ...
Bias in Mental Testing (1980) is a book examining the question of test bias in commonly used standardized tests. The book runs almost 800 pages and has been called "exhaustive" by three researchers who reviewed the field 19 years after the book's publication. [35]
In educational measurement, bias is defined as "Systematic errors in test content, test administration, and/or scoring procedures that can cause some test takers to get either lower or higher scores than their true ability would merit." [16] The source of the bias is irrelevant to the trait the test is intended to measure.
Bias is a distinct concept from consistency: consistent estimators converge in probability to the true value of the parameter, but may be biased or unbiased (see bias versus consistency for more). All else being equal, an unbiased estimator is preferable to a biased estimator, although in practice, biased estimators (with generally small bias ...