Early drafts of the present accreditation
standards on assessment referred to a desire by the commission that
there be an ongoing dialog about learning and assessment. Dialog as in
a meaningful exchange of information. Assessment has tended to be a
monologue, of which I continue to be guilty. Yet I do not know how to
start a dialog if no one says anything. So I continue my monologues on
the assessments I am doing in my own classrooms.
MS 150 Statistics remains a fairly traditional chalk and talk lecture
style course. The course coverage well echoes industry standard texts.
The topics are typical of many community college introductory
statistics courses, and the course articulates well to other
institutions. Assessment remains driven by quizzes, tests, a midterm,
and a final. The model of assessment of course level student learning
outcomes is one in which performance on student learning outcomes is
aggregated to generate higher level assessments. This is one of the
models that I outlined in the SLOAP presentation in the spring of 2006.
Individual item analysis of quizzes and tests is mapped to outcomes on
the course outline. The aggregated average performance on all outcomes
is then used as a way of reporting "internal" accomplishment of the
program learning outcome. This first table details the item analysis on
instruments since term start:
Src | Q | Description | l | Outref | SLO | Corr | Corr% |
Pre | P1 | level of measure | 1 | 1 | Calculate basic statistics | 2 | 5% |
Pre | P2 | sample size | 1 | 1 | Calculate basic statistics | 5 | 12% |
Pre | P3 | mean | 1 | 1 | Calculate basic statistics | 9 | 21% |
Pre | P4 | median | 1 | 1 | Calculate basic statistics | 13 | 31% |
Pre | P5 | mode | 1 | 1 | Calculate basic statistics | 4 | 10% |
Pre | P6 | min | 1 | 1 | Calculate basic statistics | 34 | 81% |
Pre | P7 | max | 1 | 1 | Calculate basic statistics | 34 | 81% |
Pre | P8 | range | 1 | 1 | Calculate basic statistics | 10 | 24% |
Pre | P9 | standard dev | 1 | 1 | Calculate basic statistics | 3 | 7% |
Pre | P10 | coef var | 1 | 1 | Calculate basic statistics | 0% | |
Pre | P11 | slope | 5 | 5 | Perform a linear regression and make inferences based on the results | 4 | 10% |
Pre | P12 | intercept | 5 | 5 | Perform a linear regression and make inferences based on the results | 4 | 10% |
Pre | P13 | slope-intercept eqn | 5 | 5 | Perform a linear regression and make inferences based on the results | 1 | 2% |
Pre | P14 | predict y given x | 5 | 5 | Perform a linear regression and make inferences based on the results | 6 | 14% |
Pre | P15 | predict x given y | 5 | 5 | Perform a linear regression and make inferences based on the results | 4 | 10% |
q01 | 1234 | level of measure | 1 | 1 | Calculate basic statistics | 10 | 20% |
q01 | 5 | calculate percentage | 1 | 1 | Calculate basic statistics | 23 | 46% |
q01 | 6 | completed homework | 1 | 1 | Calculate basic statistics | 35 | 70% |
q01 | 78 | remembered weight, bfi | 1 | 1 | Calculate basic statistics | 48 | 96% |
q01 | 9 | perform percent multiplication | 1 | 1 | Calculate basic statistics | 47 | 94% |
q01 | 10 | recall fact | 1 | 1 | Calculate basic statistics | 47 | 94% |
q01 | 11 | recall fact | 1 | 1 | Calculate basic statistics | 44 | 88% |
q01 | 12 | body fat classification | 1 | 1 | Calculate basic statistics | 36 | 72% |
q02 | 1 | level of measure | 1 | 1 | Calculate basic statistics | 14 | 29% |
q02 | 2 | min | 1 | 1 | Calculate basic statistics | 46 | 96% |
q02 | 3 | max | 1 | 1 | Calculate basic statistics | 42 | 88% |
q02 | 4 | range | 1 | 1 | Calculate basic statistics | 34 | 71% |
q02 | 5 | bin width | 2 | 2 | Represent data sets using charts and histograms | 34 | 71% |
q02 | 6 | frequency table | 2 | 2 | Represent data sets using charts and histograms | 9 | 19% |
q02 | 7 | histogram chart | 2 | 2 | Represent data sets using charts and histograms | 10 | 21% |
q02 | 8 | shape of distribution | 2 | 2 | Represent data sets using charts and histograms | 4 | 8% |
Outref | Students will be able to: | Sum | Count | Avg |
1 | Calculate basic statistics | 11.35 | 22 | 52% |
2 | Represent data sets using charts and histograms | 1.19 | 4 | 30% |
3 | Solve problems using normal curve and t-statistic distributions including confidence intervals for means and hypothesis testing | 0 | 0 | 0% |
4 | Determine and interpret p-values | 0 | 0 | 0% |
5 | Perform a linear regression and make inferences based on the results | 0.45 | 5 | 9% |
PSLO | define mathematical concepts, calculate quantities, estimate solutions, solve problems, represent and interpret mathematical information graphically, and communicate mathematical thoughts and ideas. | 18.06% |