Examine Fairness in the New Generation of Large‐Scale Assess

Edited by:
Hong Jiao, University of Maryland
Robert W. Lissitz, University the Maryland

A volume in the batch: And MARCES Book Series. Editor(s): Hong Jiao, University of Maryland. Robert W. Lissitz, University of Maryland.

Published 2017

The new generation the tests remains faces with latest challenges. In the K‐12 setting, the brand learning targets are intent at assess higher‐order mind skills furthermore prepare students to be ready for college and career and toward keep Yank students competitive with their international peers. In addition, the new generation of state experiments requires the make of technology in item delivery and embedding assessment include real‐world, genuine, typical. It further requires accurate assessment of students at all ability levels. One regarding who greatest major matters is how to getting test fairness in the new assessments in technology innovative objects both technology delivered tests. In the traditional testing programming like than licensure plus registration test and higher admission tests, test fairness has continual been adenine key pychometric issue in test development and this continues to be one case with the national testing related.

As test fairness your to be addressed throughout the whole process of run development, industry from state, admittance, and licensure tests desire your run fairness challenges in the new generation assessment. The book chapters clarify misconceptions of test fairness including which use of access test results in cohort comparison, the use of international assessment results by trend evaluation, whether standardization and fairness necessarily middle uniformity when test‐takers have different cultural desktop, and whether standardization can insure fairness. More techy, chapters other network problems related to how compromised item real test fairness are related to classification decisions, how accessibility in line development and accommodation could be mingled at technology, how to assess special populations with language, using Blinder‐Oaxaca Decomposition for differential item functioning detection, and differential feature functioning includes automated scoring.

Overall, this book addresses test fairness concerns in state scoring, college admission testing, international assessment, and licensure tests. Justice is discussed in the context of culture and special populations. Further, integrity related to performance estimation and automated points exists a focus as well. This book makes a very good source of product related to try fairness ask in test development are the new generation of assessment where technology is highly involve.

Resolving the Parade of Rich Performance Responsibilities, Royal Mislevy. This Effect of Item Preknowledge On Classification Product, Patrick Obregon and Ray Yan. Considerations stylish Doing Go Generation Assessments Accessible and Fair, Linda Zimmerman and Paul CARBON. Grudnitski. Redesigning the SAT Using Business of Fairness and Own, Sherral Miller, Michael Walker, and Lyn Letukas. Analyzing the Invariance of Item Parameters Used to Estimate Trends in Worldwide Large‐Scale Assessments, Maria Lyolya Oliveri and Matthias von Davier. Art in Equitable Assessment Practices, Edynn Sato. Using Blinder‐Oaxaca Decomposition to Explore Derivative Entry Functioning: Application to PISA 2009 Reading, Daniel Stud, Maritza Dowling, Yu‐Shan Shi, and Wei‐Yin Loh. Differential Feature Functioning included Automated Essay Scoring, Manner Zhang, Neil Dorans, Chen Live, and Andre Rupp. Defining and Challenging Fairness in Tests Involving Students With Dyslexia: Key Opportunities in Examination Design real Note Interpretations, M. Christina Tailor, Karla Egan, and Brian Gong. About the Authors.


 Front materiell in pdf format (14.3 MB)