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Featured researches published by Qing Yi.


Applied Psychological Measurement | 2008

Invariance of Equating Functions Across Different Subgroups of Examinees Taking a Science Achievement Test

Qing Yi; Harcourt Assessment; Deborah J. Harris; Xiaohong Gao

This study investigated the group invariance of equating results using a science achievement test. Examinees were divided into different subgroups based on the average composite score for test centers, whether they had taken a physics course, and self-reported science grade point average. The reason for dividing examinees into subgroups using such variables is that those variables are more related to performance on a science achievement test than, say, gender. Results indicated that the conversions obtained from different subgroups were similar to the conversions obtained by using the total group, except when the groups were divided based on whether a student had taken a physics course. Where there were differences, the differences were generally 1 equated raw score point.


The Annual Meeting of the Psychometric Society | 2016

Mode Comparability Studies for a High-Stakes Testing Program

Dongmei Li; Qing Yi; Deborah Harris

Mode comparability between paper and online versions of a test cannot be simply assumed. This paper presents the research designs, statistical analyses, and major findings from a series of special studies intended to ensure score comparability for a high-stakes testing program, including an online timing study and two mode comparability studies as well as a general framework that guided the design of these studies. The framework views score comparability as a matter of degree and the evaluation of score comparability as a matter of score validation. The high-stakes uses of the test scores required stringent score comparability which was obtained by applying test-equating methodologies under a randomly equivalent groups design. Meanwhile, score equivalency and construct equivalency were examined through statistical analyses of test results and responses to survey questions. The comparability framework and results from these studies may provide guidance for other testing programs transitioning from paper to online or when evaluating score comparability in general.


Journal of Educational Measurement | 2001

A Comparative Study of On‐line Pretest Item—Calibration/Scaling Methods in Computerized Adaptive Testing

Jae-Chun Ban; Bradley A. Hanson; Tianyou Wang; Qing Yi; Deborah J. Harris


Journal of Educational Measurement | 2002

Data Sparseness and On‐Line Pretest Item Calibration‐Scaling Methods in CAT

Jae-Chun Ban; Bradley A. Hanson; Qing Yi; Deborah J. Harris


Journal of Educational Measurement | 2001

Effects of Scale Transformation and Test‐Termination Rule on the Precision of Ability Estimation in Computerized Adaptive Testing

Qing Yi; Tianyou Wang; Jae-Chun Ban


Archive | 2000

A Comparative Study of Online Pretest Item Calibration/Scaling Methods in CAT 1

Jae-Chun Ban; Bradley A. Hanson; Tianyou Wang; Qing Yi; Deborah J. Harris


ETS Research Report Series | 2006

POPULATION INVARIANCE OF TEST EQUATING AND LINKING: THEORY EXTENSION AND APPLICATIONS ACROSS EXAMS

Alina A. von Davier; Mei Liu; Xiaohong Gao; Deborah Harris; Nancy S. Petersen; Neil J. Dorans; Rui Gao; Shelby Hammond; Paul W. Holland; Jinghua Liu; Christine Wilson; Wen-Ling Yang; Qing Yi; Robert L. Brennan


ACT, Inc. | 2017

Evidence for Paper and Online ACT® Comparability: Spring 2014 and 2015 Mode Comparability Studies. ACT Research Report Series 2017-1.

Dongmei Li; Qing Yi; Deborah Harris


Archive | 2015

Spring 2014 ACT ® Test Mode Comparability

Dongmei Li; Qing Yi; Deborah Harris


Archive | 2002

Data Sparseness and Online Pretest Item Calibration/Scaling Methods in CAT. ACT Research Report Series.

Jae-Chun Ban; Bradley A. Hanson; Qing Yi; Deborah J. Harris

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Bradley A. Hanson

The American College of Financial Services

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Mary Pommerich

Defense Manpower Data Center

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Mei Liu

Princeton University

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Rui Gao

Princeton University

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