Assess Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Study

Text Registration

Assess Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Study

Status

Published

on 8 Feb 2021

Year of Creation

2020

Jinjin Huang

Registration Number

TX0008946662

on 8 Feb 2021

The U.S. Copyright record (Registration Number: TX0008946662) dated 8 Feb 2021, pertains to an electronic file (eService) titled "Assess Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Study" created in 2020. The copyright holder is Jinjin Huang, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Jinjin Huang.

Jinjin Huang

Application Details

Registration Number

TX0008946662

Registration Date

2/8/2021

Year of Creation

2020

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Jinjin Huang

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Assess Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Study

Author Statement: Jinjin Huang Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Assess Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Study

Author Statement: Jinjin Huang Citizenship: not known Authorship: text

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