Measurement invariance assessment under cognitive diagnostic models

Xiaomin Nicky LI; Wen Chung WANG

Measurement invariance assessment under cognitive diagnostic models

Xiaomin Nicky LI
, Wen Chung WANG

Department of Psychology (PS)

Research output: Contribution to conference › Papers

Abstract

In CDMs, all existing methods for DIF detection treated the latent binary attributes as qualitatively identical even when items exhibit DIF, which contradicts the common knowledge of DIF and thus misleading. In this study, we acknowledge such fallacy and propose a new method for DIF assessment in CDMs.

Original language	English
Publication status	Published - Apr 2015
Event	National Council on Measurement in Education 2015 Annual Meeting - InterContinental Hotel, Chicago, United States Duration: 15 Apr 2015 → 19 Apr 2015

Conference

Conference	National Council on Measurement in Education 2015 Annual Meeting
Abbreviated title	NCME 2015
Country/Territory	United States
City	Chicago
Period	15/04/15 → 19/04/15

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title = "Measurement invariance assessment under cognitive diagnostic models",

abstract = "In CDMs, all existing methods for DIF detection treated the latent binary attributes as qualitatively identical even when items exhibit DIF, which contradicts the common knowledge of DIF and thus misleading. In this study, we acknowledge such fallacy and propose a new method for DIF assessment in CDMs.",

author = "LI, \{Xiaomin Nicky\} and WANG, \{Wen Chung\}",

year = "2015",

month = apr,

language = "English",

note = "National Council on Measurement in Education 2015 Annual Meeting, NCME 2015 ; Conference date: 15-04-2015 Through 19-04-2015",

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TY - CONF

T1 - Measurement invariance assessment under cognitive diagnostic models

AU - LI, Xiaomin Nicky

AU - WANG, Wen Chung

PY - 2015/4

Y1 - 2015/4

N2 - In CDMs, all existing methods for DIF detection treated the latent binary attributes as qualitatively identical even when items exhibit DIF, which contradicts the common knowledge of DIF and thus misleading. In this study, we acknowledge such fallacy and propose a new method for DIF assessment in CDMs.

AB - In CDMs, all existing methods for DIF detection treated the latent binary attributes as qualitatively identical even when items exhibit DIF, which contradicts the common knowledge of DIF and thus misleading. In this study, we acknowledge such fallacy and propose a new method for DIF assessment in CDMs.

M3 - Papers

T2 - National Council on Measurement in Education 2015 Annual Meeting

Y2 - 15 April 2015 through 19 April 2015

ER -

Measurement invariance assessment under cognitive diagnostic models

Abstract

Conference

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