Test design


For decades, researchers and practitioners have made a great deal of effort to study a variety of methods to increase parameter accuracy, but only recently can researchers start focusing on improving parameter estimations by using a joint model that could incorporate RT and students information as CI.
By: Shudong Wang, Hong Jiao
Topics: Test design


This study, using real data, provides empirical evidence of construct and invariance construct of MAP scales across grades at different academic calendars for 10 different states.
By: Shudong Wang, Marth S. McCall, Hong Jiao, Gregg Harris
Topics: Measurement & scaling, Test design


The major purpose of this paper is to investigate the effects of CAT test design and bank distribution on the content coverage and the efficiency of the tests.
By: Shudong Wang, Hong Jiao
Topics: Test design, Computer adaptive testing, Learning standards & alignment


This technical report is written for measurement professionals and administrators to help evaluate the quality of the MAP Growth assessments.
By: Patrick Meyer
Products: MAP Growth
Topics: Measurement & scaling, Item response theory, Test design


The purpose of this literature review is to study the advantages and limitations of various through-course summative assessment models with the goal of informing the design of the NWEA through-year solution.
By: Garron Gianopulos
Topics: Test design, Computer adaptive testing


5 Guiding Principles for Improving Reading Fluency Assessment
This Michigan Association of Superintendents and Principles blog post examines 5 Guiding Principles for Improving Reading Fluency Assessment
Topics: Test design, Academic content, Reading & language arts


This report presents the results of a mode comparability study conducted based on empirical data to evaluate how scores from MAP Growth administered on the constraint-based engine (CBE) compare to those administered on the current MAP Growth engine known as COLO.
By: Patrick Meyer, Emily Bo
Products: MAP Growth
Topics: Measurement & scaling, Test design