Synthesis of Articles in the Journal of Applied Measurement: 2000–2019

• In Event: Rasch Modeling: Methodology and Application

Abstract

This study reviews 547 articles from the Journal of Applied Measurement from 2000 to 2019. The meta-evaluation process to the journal could be divided into two phases. We firstly investigated demographic information such as the place of authorship, domain research focus, Rasch model applied. Then, we established a 10-item binary assessment rubric to determine whether an article contains essential elements such as evidence for validity, reliability, and fairness. Results from preliminary data analysis indicate that (a) the Journal is based on Rasch measurement and its related modeling, which fits the destination of the journal; (b) the Rasch mode most applied on cognitive assessments; (c) Rating scale and dichotomous Rasch model are the primary Rasch models.

Author

• Cheng Hua, University of Alabama