Computer adaptive testing
MAP Growth Course-Specific Tests Technical Report for 2024ā2025
This comprehensive technical report documents the design, development, and validation of MAP Growth Course-Specific assessments for the 2024ā2025 school year. It presents evidence of psychometric quality, including adaptive testing methods, reliability, validity, fairness, and score interpretation across grades and courses.
By: Xueming (Sylvia) Li, Janice Johnson, Patrick Meyer
Products: MAP Growth
Topics: Computer adaptive testing, Item response theory, Measurement & scaling, Test design
English MAP Reading Fluency technical report
This technical report documents the processes and procedures employed by NWEA to build and support the English MAP Reading Fluency assessment.
By: Fang Peng, Kang Xue, Carmen Hall, John Newburn
Products: MAP Reading Fluency
Topics: Test design, Computer adaptive testing, Reading & language arts
Predicting Amira Reading Mastery Based on NWEA MAP Reading Fluency Benchmark Assessment Scores
This document presents results from a linking study conducted by NWEA in May 2024 to statistically connect the grades 1ā5 English Amira Reading Mastery (ARM) scores with the Scaled-Words-Correct-Per-Minute (SWCPM) scores from the MAP Reading Fluency benchmark assessment taken during Fall and Winter 2023ā2024.
By: Fang Peng, Ann Hu, Christopher Wells
Products: MAP Reading Fluency
Topics: Computer adaptive testing, Early learning, Measurement & scaling, Reading & language arts
Executive Summary: Content proximity spring 2022 pilot study
This executive summary outlines results from the Content Proximity spring 2022 pilot study, including information on the validity, reliability, and test score comparability of MAP Growth assessments that leverage this new item-selection algorithm.
By: Patrick Meyer, Ann Hu, Xueming (Sylvia) Li
Products: MAP Growth
Topics: Computer adaptive testing, Innovations in reporting & assessment, Test design
Content Proximity Spring 2022 Pilot Study Research Report
The purpose of this research report is to provide detailed information about updates to the MAP Growth item-selection algorithm. This brief includes results from the Content Proximity pilot study, including information on the validity, reliability, and test score comparability of MAP Growth assessments that leverage this new item-selection algorithm.
By: Patrick Meyer, Ann Hu, Xueming (Sylvia) Li
Products: MAP Growth
Topics: Computer adaptive testing, Innovations in reporting & assessment, Test design
MAP Growth item parameter drift study
This report documents the results of an item parameter drift study designed to check the parameter stability of MAP Growth items.
By: Wei He
Products: MAP Growth
Topics: Computer adaptive testing
An investigation of item parameter invariance using focused calibration samples for MAP Growth
Two studies were conducted to evaluate whether the existing MAP Growth item parameter estimates are invariant across different calibration samples.
By: Wei He
Products: MAP Growth
Topics: Computer adaptive testing