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Data Analysis and Closing the Loop

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Carrie Nepstad

on 22 May 2014

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Transcript of Data Analysis and Closing the Loop

Setting the Standard
Are our students meeting the Standards?
Performance Standards/benchmarks
What are our students' relative strengths and areas for improvement?

Faculty set a minimum standard that students must demonstrate on every trait in order to pass or be considered minimally adequate overall.

Summarizing and Analyzing
Assessment results
Most assessment results can be summaraized with simple tallies or percentages

Keep a sample of good, bad, and mediocre student work on file to provide firsthand evidence of your standards and rigor.

Qualitative Summaries
Thematic analysis: reflective essays, transcriptions of focus groups, interviews. Results synthesized into a holistic description.
Data Analysis and Closing the Loop
Use the NAEYC standards for professional preparation as a "criterion-referenced" assessment.

Compare student work to the standards - this is how the rubric was designed as the performance levels aligned with the standards.

from Suskie (2009) Assessing Student Learning ; a common sense guide 2nd edition p.255
Compare data to the set benchmark:
If the goal is for 75% of students to surpass the decided minimum performance standard, then the assessment summary should include whether or not results did not meet, met, or exceeded your goal.
Setting targets for
students' collective performance
Overall scores:
rubrics can be aggragated into one single score or grade.

Several items on a rubric may address one standard - these can be aggragated.
Summarizing Data
Mean - look for arithemetic average. This is appropriate for scaled results.

Median - the midpoint of all results when listed from highest to lowest. This is appropriate for ordered results. It also helps to see results clearly even when there are outliers on the lowest of highest side.
Closing the Loop
Data analysis meetings
e-mail updates
agenda item departmental meetings
Full transcript