compass math test validity april 2011
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Compass Math Test Validity April 2011. Mike Orkin, Jo Ann Phillips, Hui Zhang Office of Institutional Research Peralta Community College District. Compass Math Test. Peralta students take assessment tests for placement into Math, ESL, and English courses. - PowerPoint PPT PresentationTRANSCRIPT

Compass Math Test Validity April 2011
Mike Orkin, Jo Ann Phillips, Hui ZhangOffice of Institutional Research
Peralta Community College District
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Compass Math Test• Peralta students take assessment tests for
placement into Math, ESL, and English courses. • Course placement based on test scores is
recommended not mandatory. • A student may take courses without taking
placement tests.
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Compass Math Test • Peralta uses the ACT Compass test for math
placement.• When students take Compass, they advance
through “subtests” until they reach a “placement domain.”
• The higher the placement domain, the higher the difficulty level of the recommended courses.
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Data• Students taking Compass-designated math courses
in F08, S09, F09, S10. • Took Compass test immediately preceding
semester when they took math course, or• Never took Compass test prior to semester when
they took math course.
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Data Totals• 12,657 student enrollments. • 4,915 (39%) took Compass test.• 7,742 (61%) did not.
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Data by Placement Domain Courses
Placement Domain Courses Compass
No Compass Total
% Take Compass
MPRAL 3,749 2,644 6,393 59%
MALGE 755 5,268 6,023 13%
MTRIG 179 643 822 22%
MCOAL 232 3,590 3,822 6%
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Placement Domains and Key Courses• MPRAL – Prealgebra
Arithmetic – Math 250 (0-32)Pre-Algebra – Math 253 (33-39)Elementary Algebra – Math 201 (40-100)
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Placement Domains and Key Courses• MALGE – Algebra.
Elementary Algebra – Math 201 (0-34)Intermediate Algebra – Math 203 (35-49)Statistics – Math 13 (50-100)
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Placement Domains and Key Courses• MTRIG – Trigonometry.
Trigonometry – Math 50 (0-45)Pre Calculus – Math 1 (46-100)
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Placement Domains and Key Courses• MCOAL – College Algebra.
Statistics – Math 13 (0-34)Pre Calculus – Math 1 (35-49)Calculus – Math 3A (50-100)
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Compliance Within Placement Domain• Most complied with cutoff score assignment
within their placement domain.
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Compliance Within Placement Domain
Placement Domain Compliance Total %MPRAL COMPLY 3,264 87% NONCOMPLY 485 13%MPRAL Total 3,749MALGE COMPLY 682 90% NONCOMPLY 73 10%MALGE Total 755MTRIG COMPLY 125 70% NONCOMPLY 54 30%MTRIG Total 179MCOAL COMPLY 169 73% NONCOMPLY 63 27%MCOAL Total 232
Grand Total 4,915
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Validity• A test is “valid” if it measures what it’s supposed
to measure. • We looked at this in two ways:
I. Are grades and success positively related to Compass scores?
II. Do students who take Compass do “better” than students who don’t take Compass?
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Validity• Are grades positively related to Compass scores?
Analysis of Variance (ANOVA) determines if there are significant differences in average Compass scores across course grades.
On average, as grades increase, so do scores.
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Validity ANOVA - Assessment test averages by grade.
Placement Domain A - Test ave B - Test ave C - Test ave D - Test ave F/W- Test ave Sig.
MPRAL 38.49 35.77 34.41 34.97 32.58 0.000
MALGE 48.77 44.73 43.33 41.36 44.51 0.014
MTRIG 39.55 39.03 38.62 37.45 36.56 0.401
MCOAL 71.87 69.6 65.23 64.43 64.77 0.037
ALL 44.12 39.35 37.25 36.54 34.53 0.000
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Validity Grade Counts
Placement Domain A B C D F W Total
MPRAL 767 569 471 275 504 1,107 3,693
MALGE 239 139 113 47 70 144 752
MTRIG 69 39 26 11 9 25 179
MCOAL 127 43 22 7 10 21 230
ALL 1,202 790 632 340 593 1,297 4,854
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Validity• Do assessment test scores predict a student’s
chance of success (C or better) in a course?
Logistic regression estimates the probability of success for a given assessment test score.
For all subtests, as scores get higher, the predicted chance of success increases, indicating predictive validity.
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Validity
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Validity
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Validity
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Validity
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Validity
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Perfect Success• We have shown that the chance of success
increases as Compass scores increase.• However, if the assessment process works
perfectly, there will be an appropriate course for every student, even those who get low Compass scores, and so everyone (or almost everyone) will succeed, regardless of their Compass score.
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Perfect Success• If everyone succeeds, the chance of success will be
100% no matter what the Compass score, and so the regression analysis will not be meaningful.
• In the same way, if there is an appropriate course for everyone, and if everyone succeeds, there will be no low grades, and, more generally, there won’t be a relationship between Compass scores and grades.
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Perfect Success• In other words, looking for a relationship between
Compass scores and success can be clouded by too much success.
• It thus becomes useful to compare those who take the Compass test and those who don’t.
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Compass v. no Compass• Do students who take the Compass test do better
than students who don’t take the test?
Assume that those who don’t take the Compass test essentially select a class at random.
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Compass v. no Compass• For non-Compass students, just by chance, some
strong students will take lowest-level courses (too easy) and some weak students will take higher level courses (too difficult).
• If Compass is properly assessing students, only weaker students will take lowest level courses and stronger students will take higher level courses.
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Compass v. no Compass• Thus, students who take Compass should do worse
than those who don’t at lowest subtest and better than those who don’t at higher levels.
• This is exactly what we observe in the data.
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Compass v. no CompassChi Square - Success – Compass Test v. No Test
Placement Domain Courses
Take Test % Success
No Test % Success Sig.
MPRAL 48.2% 50.9% 0.020
MALGE 65.0% 57.5% 0.000
MTRIG 74.9% 56.9% 0.000
MCOAL 82.8% 60.8% 0.000
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Compass v. no Compass• Similar result when comparing grades of students
who take Compass with those who don’t.
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Compass v. no Compass
ANOVA - Test v. No Test Course GPA
Placement Domain Courses Test GPA No Test GPA Sig.
MPRAL 2.3 2.6 0.000
MALGE 2.7 2.6 0.245
MTRIG 3.0 2.8 0.083
MCOAL 3.3 2.8 0.000
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Summary• All four methods of analysis yield statistically
significant results supporting Compass validity.
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Summary• On average, as grades increase, so do Compass scores.• As Compass scores increase, the predicted chance of
success increases. • Students who take Compass do better than those
who don’t in the higher subtests and worse in the lowest subtest, in both course success and grades.
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