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In 2010, Texas Commissioner of Education Robert Scott announced the successor to the TAKS, STAAR. The STAAR had intensified rigorousness and end-of-course assessments, instead of a unified 9th, 10th, and 11th-grade Mathematics, ELA, Science, and Social Studies test. Therefore, one would take an Algebra I test in order to pass Algebra I, and so on.
Then, the raw score is converted to a scaled score. As with the other tests, a scaled score of 2100 meets the standard and 2400 is a commended performance. In 2007, the 11th grade "met standard" level was a raw score of 42, 10th was 44, and 9th was 28; 7th "met standard" with 26 points and 4th with 20. [10]
The agency used a computer program to grade short written answers for students who took the STAAR in December, when usually only high school level tests are offered, said Jose Rios, director of ...
The following standardized tests are designed and/or administered by state education agencies and/or local school districts in order to measure academic achievement across multiple grade levels in elementary, middle and senior high school, as well as for high school graduation examinations to measure proficiency for high school graduation.
The Texas Education Agency released results this month for algebra, biology, U.S. history and English I and II end-of-course tests.
The top grade, A, is given here for performance that exceeds the mean by more than 1.5 standard deviations, a B for performance between 0.5 and 1.5 standard deviations above the mean, and so on. [17] Regardless of the absolute performance of the students, the best score in the group receives a top grade and the worst score receives a failing grade.
The reason for the choice of the number 21.06 is to bring about the following result: If the scores are normally distributed (i.e. they follow the "bell-shaped curve") then the normal equivalent score is 99 if the percentile rank of the raw score is 99; the normal equivalent score is 50 if the percentile rank of the raw score is 50;
Comparison of the various grading methods in a normal distribution, including: standard deviations, cumulative percentages, percentile equivalents, z-scores, T-scores. In statistics, the standard score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured.