Our assessment literacy video series aims to demystify, unpack, and connect assessment concepts and principles to help you make more sense out of your assessment data.
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There are lots of different ways to assess student learning, and establishing some common vocabulary provides a framework for identifying the most appropriate ways to use assessment as a part of quality instruction. Two of the most common types are formative assessment and summative assessment. Let’s break those down!
Whenever we use instruments to measure things, whether it’s a yardstick to measure height, a clock to measure drive time, or a test to measure student ability, there is some amount of noise that can result in slightly different measurements each time. That noise is called measurement error. In educational testing, this measurement error is more often referred to as the standard error of measurement—abbreviated “SEM.”
In this video, we’re exploring standard deviation—the statistics term you may (or may not) remember but will find handy when it comes to analyzing your assessment data! Let’s take a closer look at what standard deviation is, and then how you can use it to make sense of your data, starting with a simple definition.
Making sense of assessment data can be complicated—we’re here to break it down so that reading your reports doesn’t require a translator. Let’s look at scale scores—the underlying way assessment performance is often reported.
Our assessment literacy video series aims to demystify, unpack, and connect assessment concepts and principles to help you make more sense out of your assessment data. Maybe you’re just learning the ropes of some of the more complicated metrics reported in educational assessments, or perhaps you’re hoping to see how an assessment concept applies to Edmentum’s suite of assessment programs. Either way, let our top-notch research team of former educators and subject-matter experts be your guide.