Determining Content and Cognitive Demand for Achievement Tests
2015
Toward the end of the 20th century, as state and federal accountability systems required reporting the percentage of students meeting a specified target on an examination, K-12 assessments
necessarily moved to criterion-referenced specifications. This shift meant redesigning assessments
that would discriminate reliably and validly among levels of performance rather than discriminate
among students in a normative fashion. Changing the purpose and use of the assessments has slowly
led to a conceptual adjustment in developing test specifications, focusing on the idea that the proficiency target and claims regarding the degree of student knowledge and skill should be the primary
driver of all test design and task 1 specification decisions. Thus, assessment design has moved from
ensuring broad coverage of discrete content areas (e.g., numbers and operations, functions, measurement) and skill areas (e.g., identify, describe, analyze) to understanding exactly what educators
or policy makers want to say about student knowledge and skills and then developing a set of items
that elicit evidence to support such assertions. Test design is more clearly linked to the development of key knowledge and skills when we move away from a broader context of domain sampling
to determine domain mastery and move closer to a more specified context of asking “ where along
this performance trajectory does this student most likely belong at this moment in time? ” The performance
trajectory is articulated via the performance level descriptions (PLDs), which are in turn informed
by educator understanding of how students progress, research-based learning progressions and cognitive models of learning.
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