Taking a few minutes to set up the right testing environment and talking to your students about the diagnostic can increase the validity of results, leading to even more meaningful data to drive instruction. Check out our five tips to make the most of your Exact Path diagnostic administration!
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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.