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Session Type: Paper Session
In this session, the authors tackle issues in human scoring, including rater training and potential solutions to help arrive at a more consistent scoring in practice. Authors report results based on meta-analysis as well as empirical studies to further describe the scoring procedures (and role of novice versus experiences raters) on various assessments.
Assessing Teacher Pedagogical Knowledge: The Video Assessment of Teacher Knowledge - Peter Wiens, University of Nevada - Las Vegas; Jori S. Beck, Old Dominion University; Christina Lunsmann, Young Harris College
Computer-Programmed Decision Trees for Assessing Teacher Noticing - Edna O. Schack, Morehead State University; David Dueber, University of Kentucky; Jonathan Norris Thomas, University of Kentucky; Molly H. Fisher, University of Kentucky; Cindy Jong, University of Kentucky
Development and Evaluation of a Partial Double Scoring Procedure for Preservice Teacher Portfolio Assessment - Jing Miao, Educational Testing Service; Yi Cao, Educational Testing Service
Investigating Human Essay Rating Quality in a Large-Scale Assessment Using Many-Facet Rasch Measurement - Xiuyuan Zhang, The College Board
The Relationship Between Rater Experience and Performance Ratings: A Systematic Review - Jing Huang, The University of Hong Kong; Gaowei Chen, The University of Hong Kong
The Analysis of Frequency Terms Used in Rating Scales - Seock-Ho Kim, University of Georgia