Evaluation of measurement invariance in IRT using limited information fit statistics/indices: A Monte Carlo study

Text Registration

Evaluation of measurement invariance in IRT using limited information fit statistics/indices: A Monte Carlo study

Status

Published

on 6 Feb 2017

Year of Creation

2016

Mengyao Cui

Registration Number

TX0008434882

on 6 Feb 2017

The U.S. Copyright record (Registration Number: TX0008434882) dated 6 Feb 2017, pertains to an electronic file (eService) titled "Evaluation of measurement invariance in IRT using limited information fit statistics/indices: A Monte Carlo study" created in 2016. The copyright holder is Mengyao Cui, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Mengyao Cui.

Mengyao Cui

Application Details

Registration Number

TX0008434882

Registration Date

2/6/2017

Year of Creation

2016

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Mengyao Cui

Notes

Rights Note: Diana G Zajic, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600 xext77020, disspub@proquest.com

Statements

Application Title Statement: Evaluation of measurement invariance in IRT using limited information fit statistics/indices: A Monte Carlo study

Author Statement: Mengyao Cui Citizenship: China Authorship: text

Notes

Rights Note: Diana G Zajic, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600 xext77020, disspub@proquest.com

Statements

Application Title Statement: Evaluation of measurement invariance in IRT using limited information fit statistics/indices: A Monte Carlo study

Author Statement: Mengyao Cui Citizenship: China Authorship: text

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