I have a guest post that appears on John Warner's blog in Inside Higher Ed this morning. You can find it here.
I spent much of the weekend working on latent trait scales derived from ordinal responses--the kind of data we often get from surveys and rubric raters. More on that soon.
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"How much data do you have?" is an inevitable question for program-level data analysis. For example, assessment reports that attem... -
The annual NACUBO report on tuition discounts was covered in Inside Higher Ed back in April, including a figure showing historical rates. (... -
I'm scheduled to give a talk on grade statistics on Monday 10/26, reviewing the work in the lead article of JAIE's edition on grades... -
(A parable for academic workers and those who direct their activities) by David W. Kammler, Professor Mathematics Department Southern Illino... -
I read Peter Sacks' Standardized Minds a few years ago when I was helping put together our general education assessment process . This...
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In the last article , I showed a numerical example of how to increase the accuracy of a test by splitting it in half and judging the sub-sco... -
Introduction Within the world of educational assessment, rubrics play a large role in the attempt to turn student learning into numbers. ... -
tl;dr Searched SACS reports for learning outcomes. Table of links, general observations, proposal to create a consortium to make public th...
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Introduction A few days ago , I listed problems with using rubric scores as data to understand learning. One of these problems is how to i... -
This post is the first of a series on student achievement. The National Center for Education Statistics (NCES) summarizes graduation rates...
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