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International Assessment of Education Progress
ABUSING SCALED SCORES The objectivity and amazing integrity of international studies like IAEP, TIMSS, and PISA can be completely undermined with the use of scaled scores in the hands of educrats with an agenda, as the following table illustrates. In 1991, 80.2 of Chinese 13 year olds, 55.3% of ours, and 28.3% of Mzambique's correctly answered the IAEP math problems and received scaled scores of 561, 494, and 427 respectively:
What these scaled scores conceal is that IF these were all four part multiple choice questions, then just guessing at the answers would yield 25% correct. So an IAEP score of 427 in a student body in which only 28.3% answered correctly is very close to zero intelligence and math ability. In addition, numerous known test taking strategies could increase the percent correct to 30%, or even more, when guessing at questions to which you know that you don't know the answer. The following graph shows the linear relationship between scaled scores and the uncorrected percentage correct where each 1% increase in the number of correct answers equals a 2.6 point increase in the scaled score:
The lowest one percentile of students in China, Switzerland, Quebec, and Saskatchewan scored considerably higher than the average Mozambique student. But half of the 95th percentile of Mozambique students correctly answered the questions, suggesting the 4% who're Portuguese (and whose genetic brethren back in Portugal answered 48.3% of the questions correctly and had an IAEP score of 483) and the 2% who're Indians who score slightly higher, at 490), also took this test. This would mean that the IAEP scores of the indigenous niggers was lower than 427: (.04 x 483) + (.02 x 490) + (.94 x X) = 427 X = actual IAEP score of indigenous niggers = 423 The fact that so many of their cousins in neighboring South Africa scored lower than if they'd just guessed on so many similar math problems gives validity to the report that the lowest one percentile of Mozambique's students answered only 11.5% of the questions correctly. Where the use of scaled scores makes it appear that the comparison between China and Mozambique is 561 vs 427, the actual comparison is 80.2% correct versus 0.0% correct. Where the standard deviation of Mozambique in general is 18, the actual standard deviation of the native population is zero, as their actual performance on the test is less than zero. Such a racist, invidious, misleading use of scaled scores is unfair both to students who performed well and the students whose complete lack of math skills has been concealed and ignored.
Table 390.--Mathematics test scores of 13-year-olds in educational systems
participating in the International Assessment of Educational
Progress: 1991 _________________________________________________________________________________________________________________________________________________________________________________________________________________________
| | | |
| Average percent correct | Percentile scores | Topic averages | Process averages
|________________________________|__________________________________________________________________|_______________________________________________________|____________________________________
| | | | | | | | | | | | |Data | | | |
Country | | | | | | | | | |Numbers | | |analysis, | | | |
| | | | | | | | | |and |Measure- | |statistics,|Algebra |Conceptual | |
| Total | Male | Female | 1 | 5 | 10 | 90 | 95 | 99 |operations|ment |Geometry | and | and |under- |Procedural |Problem
| | | | | | | | | | | | |probability|functions |standing /1|knowledge /2|solving /3
________________________|__________|__________|__________|__________|__________|__________|__________|__________|___________|__________|__________|__________|___________|__________|___________|____________|___________
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18
________________________|__________|__________|__________|__________|__________|__________|__________|__________|___________|__________|__________|__________|___________|__________|___________|____________|___________
| | | | | | | | | | | | | | | | |
IAEP average............|58.3 --- | --- --- | --- --- | --- --- | --- --- | --- --- | --- --- | --- --- | --- --- |61.0 --- |46.9 --- |62.2 --- |69.1 --- |54.2 --- | 60.6 --- | 58.4 --- | 55.9 ---
| | | | | | | | | | | | | | | | |
Populations | | | | | | | | | | | | | | | | |
(comprehensive) | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Korea...................|73.4 (0.6)|74.4 (0.9)|72.2 (1.0)|20.0 (0.0)|33.3 (1.5)|41.3 (1.5)|96.0 (0.0)|97.3 (1.9)|100.0 (0.0)|77.4 (0.6)|59.5 (0.9)|77.4 (0.6)|81.2 (0.7) |70.8 (0.8)| 78.3 (0.5)| 73.4 (0.7) | 68.5 (0.7)
Taiwan..................|72.7 (0.7)|73.1 (0.9)|72.4 (0.9)|18.7 (1.4)|26.7 (0.0)|35.0 (3.0)|97.3 (1.3)|98.7 (0.0)|100.0 (0.0)|74.7 (0.6)|63.7 (0.9)|76.6 (0.8)|81.2 (0.6) |69.2 (0.9)| 74.7 (0.7)| 74.7 (0.7) | 68.6 (0.8)
Switzerland /4 .........|70.8 (1.3)|72.8 (1.5)|68.7 (1.1)|30.7 (1.2)|42.7 (0.8)|50.7 (1.9)|93.3 (1.3)|94.7 (0.0)| 98.7 (0.0)|73.6 (1.0)|62.0 (1.5)|76.6 (1.3)|81.8 (1.1) |62.7 (1.9)| 71.7 (1.1)| 69.0 (1.4) | 71.9 (1.3)
(Former) Soviet Union /5|70.2 (1.0)|70.0 (1.3)|70.3 (0.9)|20.9 (2.4)|35.2 (1.4)|42.7 (0.8)|92.0 (0.0)|94.7 (0.0)| 98.7 (0.0)|69.2 (1.0)|59.7 (1.1)|77.6 (1.0)|76.1 (1.3) |71.9 (1.1)| 70.3 (1.0)| 73.2 (1.2) | 66.7 (1.0)
Hungary.................|68.4 (0.8)|68.5 (1.0)|68.3 (0.9)|21.3 (0.9)|32.4 (2.3)|38.7 (1.3)|93.3 (0.0)|96.0 (0.0)| 98.7 (0.0)|69.4 (0.7)|55.1 (1.0)|73.3 (0.8)|75.9 (0.8) |69.8 (0.9)| 69.8 (0.7)| 70.8 (0.8) | 64.2 (0.8)
France..................|64.2 (0.8)|65.5 (0.9)|62.8 (0.9)|22.7 (3.0)|30.7 (0.8)|37.3 (1.0)|89.3 (0.0)|92.0 (5.3)| 97.3 (1.3)|65.0 (0.7)|52.7 (1.0)|73.1 (0.8)|79.3 (0.7) |57.0 (1.0)| 67.4 (0.7)| 65.7 (0.9) | 59.3 (0.8)
Israel /6...............|63.1 (0.8)|64.4 (0.9)|61.8 (1.1)|21.3 (1.0)|30.7 (1.0)|37.3 (0.2)|87.8 (2.6)|90.7 (0.0)| 96.0 (3.9)|64.8 (0.7)|47.2 (1.1)|65.8 (1.0)|74.8 (0.8) |64.7 (1.0)| 63.8 (0.8)| 65.3 (0.9) | 59.8 (0.9)
Canada /7...............|62.0 (0.6)|63.0 (0.7)|60.9 (0.6)|21.3 (0.6)|32.0 (0.0)|37.3 (0.0)|86.7 (0.0)|91.8 (4.3)| 97.3 (1.3)|65.6 (0.6)|49.9 (0.6)|68.1 (0.7)|76.4 (0.6) |52.7 (0.7)| 65.1 (0.6)| 61.9 (0.7) | 58.9 (0.5)
Scotland................|60.6 (0.9)|60.4 (1.0)|60.8 (1.1)|21.3 (0.8)|29.0 (2.8)|34.7 (0.0)|86.7 (0.0)|90.7 (0.0)| 96.0 (0.0)|59.7 (0.8)|51.0 (1.2)|69.6 (0.9)|79.1 (0.8) |52.8 (1.2)| 61.8 (0.9)| 59.2 (1.0) | 60.9 (0.9)
Ireland.................|60.5 (0.9)|62.6 (1.2)|58.4 (1.1)|17.8 (1.3)|26.8 (1.7)|33.3 (2.0)|86.7 (0.0)|90.7 (0.0)| 96.0 (4.2)|65.1 (0.8)|49.4 (1.0)|59.9 (1.1)|71.8 (1.0) |55.6 (1.1)| 61.5 (0.8)| 62.0 (1.2) | 57.9 (0.8)
Slovenia................|57.1 (0.8)|58.1 (0.8)|56.1 (1.0)|21.3 (0.0)|27.1 (3.9)|32.0 (0.1)|82.7 (0.2)|88.0 (2.6)| 94.7 (0.0)|62.2 (0.7)|43.1 (0.9)|63.1 (1.0)|63.6 (0.8) |51.8 (1.0)| 58.5 (0.7)| 59.0 (0.9) | 53.7 (0.8)
Spain /8................|55.4 (0.8)|57.1 (1.1)|53.8 (0.8)|20.3 (1.6)|28.6 (0.5)|32.9 (2.0)|78.4 (0.8)|84.7 (1.3)| 91.9 (2.0)|60.1 (0.6)|37.9 (0.8)|60.0 (1.2)|67.7 (0.8) |52.5 (1.2)| 58.4 (0.7)| 55.8 (0.9) | 51.9 (0.8)
United States...........|55.3 (1.0)|55.8 (1.1)|54.8 (1.3)|17.3 (3.8)|24.0 (0.6)|29.3 (0.0)|82.7 (1.3)|90.7 (0.1)| 97.3 (0.0)|61.0 (1.0)|39.5 (1.0)|54.3 (1.0)|72.2 (1.0) |49.2 (1.6)| 57.4 (0.9)| 56.0 (1.3) | 52.3 (1.0)
Jordan..................|40.4 (1.0)|41.4 (1.2)|39.1 (1.9)|13.3 (0.0)|17.6 (1.2)|21.3 (1.5)|65.3 (3.1)|75.7 (3.3)| 89.3 (5.2)|42.8 (1.0)|32.0 (1.0)|43.5 (1.1)|45.7 (1.0) |38.1 (1.3)| 44.9 (0.9)| 38.5 (1.2) | 37.9 (1.0)
| | | | | | | | | | | | | | | | |
Populations | | | | | | | | | | | | | | | | |
(with exclusions or | | | | | | | | | | | | | | | | |
low participation) | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
China /9................|80.2 (1.0)|81.7 (1.0)|78.5 (1.1)|37.0 (2.2)|49.3 (2.7)|57.3 (3.3)|96.0 (1.3)|98.7 (1.3)|100.0 (0.0)|84.9 (0.9)|71.3 (1.5)|80.2 (1.1)|75.4 (1.2) |82.4 (0.9)| 81.6 (1.0)| 83.0 (0.9) | 75.6 (1.2)
England.................|60.6 (2.2)|60.8 (3.0)|60.4 (2.2)|18.7 (1.9)|27.4 (3.3)|34.5 (3.7)|89.3 (0.5)|93.3 (1.3)| 97.3 (1.0)|58.5 (2.0)|51.2 (2.5)|70.3 (2.4)|79.5 (1.8) |54.0 (2.8)| 62.0 (2.1)| 59.0 (2.6) | 60.8 (2.0)
Italy /10...............|64.0 (0.9)|65.8 (1.1)|62.1 (0.9)|23.0 (1.3)|32.4 (0.9)|36.5 (1.5)|88.0 (0.0)|91.8 (0.5)| 96.0 (0.0)|63.8 (0.8)|62.8 (1.1)|75.3 (1.0)|71.7 (0.8) |52.6 (1.2)| 66.6 (0.8)| 62.1 (1.1) | 63.3 (0.9)
Portugal................|48.3 (0.8)|48.9 (1.3)|47.9 (0.9)|17.3 (0.9)|23.9 (1.3)|28.0 (0.5)|74.7 (0.9)|80.6 (1.7)| 89.7 (2.6)|52.1 (0.8)|31.9 (0.7)|49.0 (1.3)|68.6 (1.0) |43.1 (1.1)| 51.5 (0.9)| 47.1 (1.0) | 46.4 (0.7)
Brazil, Sao Paulo.......|37.0 (0.8)|37.9 (0.9)|36.2 (0.9)|10.3 (2.1)|16.7 (1.0)|18.7 (0.9)|62.7 (0.7)|70.7 (1.5)| 82.7 (0.7)|40.9 (0.8)|24.1 (0.5)|34.3 (1.5)|49.7 (1.0) |35.6 (1.1)| 38.5 (0.9)| 36.5 (1.1) | 36.0 (0.6)
Brazil, Fortaleza.......|32.4 (0.6)|35.2 (0.9)|30.5 (0.6)|10.9 (0.4)|14.7 (0.6)|17.3 (0.3)|56.8 (2.1)|65.3 (0.6)| 80.8 (3.5)|35.8 (0.7)|20.5 (0.5)|28.6 (0.8)|43.8 (0.8) |32.3 (0.9)| 35.3 (0.7)| 30.8 (0.8) | 31.0 (0.5)
Mozambique, Maputo, and | | | | | | | | | | | | | | | | |
Beira..................|28.3 (0.3)|28.8 (0.5)|27.8 (0.3)|11.5 (1.1)|16.2 (0.6)|18.7 (0.1)|44.6 (1.4)|50.0 (3.2)| 60.0 (2.2)|33.8 (0.4)|20.1 (0.3)|29.2 (0.5)|35.4 (0.6) |20.5 (0.5)| 34.0 (0.4)| 22.9 (0.4) | 28.2 (0.4)
| | | | | | | | | | | | | | | | |
Populations (Canadian) | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Quebec-French...........|68.7 (0.7)|69.8 (1.0)|67.5 (0.8)|29.3 (1.4)|39.7 (1.8)|45.3 (2.8)|89.3 (0.0)|93.3 (0.0)| 96.4 (2.7)|72.3 (0.6)|56.4 (1.0)|78.1 (0.8)|81.1 (0.6) |58.4 (1.0)| 72.6 (0.7)| 68.0 (0.8) | 65.3 (0.8)
Saskatchewan-French.....|67.5 (1.0)|68.8 (1.5)|66.3 (1.4)|32.0 (1.3)|36.0 (2.9)|46.5 (3.7)|87.8 (3.9)|90.7 (2.5)| 96.0 (1.3)|73.9 (1.0)|53.8 (1.3)|69.2 (1.3)|76.0 (1.2) |61.6 (1.4)| 70.1 (1.2)| 69.3 (1.0) | 62.9 (1.1)
British Columbia........|66.2 (0.7)|66.8 (0.8)|65.4 (1.0)|25.3 (0.7)|35.6 (2.1)|41.3 (0.0)|90.7 (4.0)|94.7 (3.6)| 97.3 (1.3)|69.3 (0.7)|54.1 (0.9)|69.6 (0.9)|79.9 (0.7) |60.2 (0.8)| 68.5 (0.7)| 68.0 (0.8) | 61.8 (0.7)
Quebec-English..........|65.7 (0.9)|65.7 (1.6)|65.7 (0.8)|23.0 (2.5)|33.8 (3.9)|41.3 (1.3)|90.7 (0.0)|94.7 (2.4)| 98.7 (0.0)|68.7 (0.9)|53.5 (1.1)|70.6 (1.0)|78.1 (1.0) |59.6 (1.1)| 68.3 (0.9)| 66.6 (1.0) | 61.9 (1.0)
Alberta.................|64.0 (0.7)|64.5 (0.8)|63.4 (0.8)|23.5 (2.6)|33.3 (0.0)|38.7 (3.5)|88.0 (0.3)|92.0 (1.8)| 97.3 (0.0)|68.6 (0.7)|54.3 (0.9)|67.2 (0.8)|80.0 (0.7) |52.1 (0.9)| 68.3 (0.7)| 62.6 (0.8) | 61.0 (0.7)
Manitoba-French.........|63.1 (0.6)|64.5 (1.1)|61.9 (0.8)|26.7 (2.7)|34.7 (2.4)|41.3 (0.0)|85.3 (0.0)|89.3 (0.0)| 94.7 (0.0)|67.1 (0.7)|48.5 (0.7)|66.6 (0.8)|75.0 (0.8) |58.5 (0.7)| 64.6 (0.7)| 66.0 (0.7) | 58.2 (0.6)
Saskatchewan-English....|62.0 (0.7)|63.2 (0.9)|60.7 (1.0)|21.3 (1.3)|29.7 (4.5)|37.3 (5.8)|86.7 (3.8)|90.7 (0.0)| 96.0 (0.0)|66.1 (0.6)|49.6 (0.9)|62.9 (1.2)|78.3 (0.7) |54.6 (0.8)| 64.0 (0.7)| 64.4 (0.8) | 57.2 (0.7)
New Brunswick-French....|60.6 (0.4)|60.5 (0.6)|60.7 (0.6)|20.3 (1.3)|30.2 (3.1)|36.0 (0.0)|85.1 (1.3)|89.3 (0.0)| 93.3 (0.0)|65.4 (0.5)|46.5 (0.5)|64.5 (0.5)|72.3 (0.5) |54.3 (0.4)| 63.7 (0.4)| 62.6 (0.4) | 55.3 (0.4)
Nova Scotia.............|59.7 (0.6)|60.7 (0.9)|58.8 (0.8)|20.0 (0.0)|29.3 (1.2)|35.1 (1.5)|85.3 (0.0)|90.7 (0.0)| 97.3 (0.0)|62.9 (0.6)|47.3 (0.8)|63.7 (0.7)|73.9 (0.7) |53.5 (0.8)| 61.8 (0.6)| 60.2 (0.6) | 57.1 (0.6)
Newfoundland............|58.9 (0.6)|57.8 (0.7)|59.9 (0.8)|18.7 (1.3)|29.3 (0.4)|34.7 (0.0)|84.0 (2.1)|88.0 (5.8)| 96.0 (2.7)|61.9 (0.6)|45.1 (0.7)|65.1 (0.9)|72.4 (0.7) |52.7 (0.6)| 61.8 (0.7)| 60.3 (0.7) | 54.3 (0.6)
Ontario-English.........|58.3 (0.8)|59.3 (1.0)|57.4 (0.9)|20.0 (1.2)|29.3 (0.0)|34.7 (0.0)|84.0 (2.0)|89.3 (1.3)| 96.0 (1.3)|61.8 (0.8)|46.2 (0.9)|63.4 (1.0)|73.6 (0.8) |49.5 (1.0)| 60.8 (0.8)| 58.5 (0.9) | 55.5 (0.8)
Manitoba-English........|58.0 (0.8)|58.0 (0.9)|57.9 (1.0)|20.0 (1.7)|28.0 (2.7)|33.3 (4.2)|82.7 (0.0)|86.7 (0.0)| 96.0 (3.5)|62.5 (0.7)|45.6 (0.9)|58.4 (0.9)|73.6 (0.9) |50.8 (1.0)| 60.5 (0.8)| 58.8 (0.9) | 54.4 (0.7)
New Brunswick-English...|57.7 (0.5)|58.3 (0.7)|57.1 (0.7)|20.0 (0.0)|27.5 (1.6)|33.3 (0.0)|82.7 (0.0)|89.3 (2.0)| 96.0 (0.0)|62.4 (0.5)|51.3 (0.6)|62.4 (0.6)|71.0 (0.6) |43.2 (0.6)| 61.4 (0.5)| 55.4 (0.6) | 56.4 (0.5)
Ontario-French..........|53.5 (0.6)|53.5 (0.8)|53.5 (0.8)|18.7 (0.2)|25.3 (1.1)|32.0 (0.0)|76.0 (3.0)|82.7 (0.0)| 92.0 (2.3)|58.0 (0.6)|38.8 (0.7)|59.0 (1.0)|69.0 (0.7) |44.7 (0.9)| 56.6 (0.7)| 54.1 (0.8) | 49.6 (0.6)
________________________|__________|__________|__________|__________|__________|__________|__________|__________|___________|__________|__________|__________|___________|__________|___________|____________|___________
1/ Conceptual understanding questions analyzed students' abilities in understanding of mathematical facts and concepts.
2/ Procedural knowledge tasks required students to apply knowledge and concepts in solving routine problems using procedures taught in the classroom.
3/ Problem solving questions required the student to apply several skills to a unique situation. These tasks usually involved multiple steps.
4/ Fifteen cantons.
5/ Schools in 14 republics, where instruction is in Russian.
6/ Schools where instruction is in Hebrew.
7/ Nine provinces.
8/ Schools where instruction is in Spanish, in all regions except Cataluna.
9/ Twenty provinces and independent cities.
10/ Emilia-Romagna province only.
---Data not available. NOTE.--Standard errors appear in parentheses. SOURCE: U.S. Department of Education, National Center for Education Statistics, International Assessment of Educational Progress, "Learning Mathematics," by Educational Testing Service. (This table was prepared February 1992.)
The SAT Math Equivalent (SATME) Based on NAEP:IAEP Crosslink Study
Table S23 Mathematics proficiency scores for 13-year-olds in countries and public school 8th-grade students in states, calculated using the equi-percentile linking method, according to Beaton and Gonzales, by country (1991) and state (1990) provides the opportunity to create an "SAT Math Equivalent" (SATME) to grade each country based on 12th grade SAT Math score of each state. The IAEP:NAEP curve has a linear correlation with actual NAEP scores of public schools by state of r-squared = 0.9363, which provides confidence in the accuracy of this correlation. But when compared to the NAEP scores of non-public schools by state, r-squared decreases to 0.6583, which raises questions about how accurate the IAEP:NAEP will be with other countries; or with a grade level which represents an age difference of 4-5 years; or with 12th grade TIMSS scores by country; or with the percent of correct answers by country on the TIMSS test subjects for which scores are available. The problem is an inconsistent deviation between the NAEP scores of public and non-public schools. The difference in states like North Dakota, Iowa, Minnesota, Nebraska, Massachusettes, and Rhode Island is only 6-12 points, but the difference in states like Texas, Georgia, California, and New Mexico is 20-31 points. The reason that all states fall into two distinct classes like this is unclear, but it does explain the poor correlation with Beaton/Gonzales. Since the difference in average math scores between blacks and whites of 28.9 NAEP points is equivalent to 110 SAT Math points, the 31 point difference between the public and non-public schools of Texas is the equivalent of 118 SAT Math points. In other words, the difference in math skills within one state between public and non-public schools is as big as the difference in SAT math scores between engineering and education majors. The nonpublic schools in California, South Carolina, New Mexico, Massachusetts, New York, Louisiana, and Rhode Island DO score considerably higher than the public schools of their state, they score lower than the public schools in North Dakota, Iowa, Minnesota, Missouri, Montana, and Nebraska:
Based on this, it would be expected that the NAEP which tests 13 year olds and SAT Math for 12th graders would not show very high correlation, but r-squared with 12th grade SAT Math scores by state is a surprising 0.8483. This demonstrates that *within* the US there is a high consistency between states between these two grade levels. In other words, there is little change in state ranking from 8th to 12th grade in NAEP scores. The SATME is created from a linear extrapolation of the IAEP:NAEP data and assigns an SAT Math score to each country which is linearly proportional to its IAEP score. Taiwan, the highest scoring "state" with an IAEP score of 296.7, is assigned an SATME of 555, and Jordan, the lowest scoring "state" with an IAEP of 236.1, is assigned an SATME of 445. R-squared for SATME and 8th grade TIMSS Math scores by country shows the same low correlation which non-public schools show, or 0.5287. But r-squared between the TIMSS Geometry scores of the 16 countries whose 12th graders participated in TIMSS and their SATME grade is 0.8128, which is equivalent correlation to IAEP:NAEP to TIMSS Geometry (0.8483). This is evidence that SATME is an accurate way to grade the average math skills of students in each participating country. The international TIMSS study provides the ability to correlate the percent of correct answers by country to each country's TIMSS score, which in turn enables a correlation to be made between the percent of correct answers in TIMSS math and SAT Math scores. As would be expected, there is a close correlation between TIMSS Geometry scores and the percent of correct answers on TIMSS Geometry questions. But there is also a high degree of correlation with probability and statistics questions, and an even higher correlation with calculus questions. This suggests either that geometry is an important foundational skill for advanced math skills, or that those countries whose schools are good at teaching geometry are also good at teaching other math skills. The average r-squared for the 7 math items which show the highest degree of correlation is 0.6675. You can see from the graphs that SATME predicts the percent of a country's students who can correctly answer Geometry Item J11 to within plus or minus 6.4%, and for Probability & Statistics Item I05 to plus or minus 10%, which is sufficient accuracy for a correlation to SAT Math. The SATME grade crosses zero percent correct at an average of 404 points, and it crosses 20% correct at 437 points. If half of these questions were five-answer multiple choice question, and if half of them require a direct answer, then a student who just guessed at these math questions would receive an SATME grade of 420 points. In other words, these TIMSS questions show that an SAT Math score of 420 is equivalent to zero math knowledge. Each 1% increase in the percent of correct answers raises the SATME grade by an average of 3 points, so the upper limit of the SATME grade at 100% correct is 720 points:
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Modified Monday, September 22, 2008 Copyright @ 2007 by Fathers' Manifesto & Christian Party |
