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But… it is still your responsibility
Listening to Bob Marley makes me think of statistics and standardized testing….. Said no one ever But… it is still your responsibility
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He put himself in the box
Tonka Just for the record: He put himself in the box Bug
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Standardized Testing (1)
EDU 330: Educational Psychology Daniel Moos
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Statistics and standard scores (1)
Evaluating results of standardized tests through descriptive statistics (Measures of central tendency): (1) Mean: Average score (2) Median: Middle score in the distribution (3) Mode: Most frequent score (4) Range: Distance between top and bottom score in distribution
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Statistics and standard scores (2)
How should you use mean, median, mode, and range to interpret the results? 70, 80, 80, 80, 90 Mean: (400/5) = 80 Median: 80 Mode: Range: (90-70) = 20
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Statistics and standard scores (3)
How should you use mean, median, mode, and range to interpret the results? (continued) 20, 80, 80, 80, 90 Mean: (350/5) = 70 Median: 80 Mode: Range: (90-20) = 70
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Statistics and standard scores (4)
How should you use mean, median, mode, and range to interpret the results? (continued) 60, 60, 80, 100, 100 Mean: (400/5) = 80 Median: 80 Mode: 60, 100 Range: (100 – 60) = 40
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Statistics and standard scores (5)
Standard Deviation (SD): Statistical measure of spread of scores If data points are close to mean, then SD ≈ 0 If many data points are not close to mean, then SD > Formula Example on board Example: Mean of scores is 40 and standard deviation of 4 28 32 36 40 44 48 52 0% 2% 16% 84% 98% 100% 50%
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Statistics and standard scores (6)
Evaluating standardized tests through descriptive statistics, continued Standard Error of Measurement Due to measurement error, scores represent an approximation of student’s “true” score Example: Dan obtains a score of 54 on a standardized test. If the standard error of measurement is 3, then the range of Dan’s true score would be 51 to 57. Normal Distribution: Mean, median and mode are (roughly) equal; scores distribute themselves symmetrically in a bell-shaped curve
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Statistics and standard scores (7)
Raw Scores: What do they really mean? Percentiles (also call Percentile Ranks): ≠ percentages Rankings may not be equal; example: raw score of 58 = 90th percentile raw score of 56 = 80th percentile Raw score of 54 = 60th percentile Stanines: Range: 1 to 9 Stanine 5 = center of distribution One Stanine above/below = +/- 0.5 SD Stanine 6 = +0.5 SD; Stanine 4 = -0.5 SD; Stanine 8 = __SD Grade equivalents: Compares scores with particular age group (1st digit = grade, 2nd digit = month); Grade equivalent for total reading of 8.4 means __ ?
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Statistics and standard scores (8):
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Ending Exercises (1) A superintendent from New Hampshire says:
“Standardized testing has its place -- but standardized testing should only be one piece of the picture of a child's performance or a school/district's performance at a given time. It is essential to educate ourselves and our communities about what standardized testing measures -- and what it does not measure…. I like the analogy that standardized testing is a snapshot that is one entry into an album about a child or school”
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Ending Exercises (2) A high school science teacher from Washington, DC says: “I think they can limit the teaching environment because you end up teaching to the test. I think they can ultimately narrow the curriculum…. They do provide a basis, are consistent because the scorer cannot be biased since there is only one answer (that is, if it is multiple choice!)…. I have always created my own tests, never have I used a ‘book test’...I feel this way my students have the opportunity to demonstrate what they know through short answer, longer essays, etc.”
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Ending Exercises (3) A high school senior from Washington, DC says:
“ I don’t know. I guess they are important, but I don’t think one test can really tell you how good a student I am…or even tell you how much I have learned. I just get real nervous when I take them because they are important, but it is kind of a one shot deal. I don’t think that is very fair.”
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