Modeling acquiescence and extreme response styles and wording effects in mixed-format items

Hui Fang CHEN; Kuan Yu JIN; Wen Chung WANG

Modeling acquiescence and extreme response styles and wording effects in mixed-format items

Hui Fang CHEN
, Kuan Yu JIN
, Wen Chung WANG

Department of Psychology (PS)

Research output: Contribution to conference › Papers

Abstract

Acquiescence and extreme response styles and wording effects are commonly observed in rating scale or Likert items. In this study, a multidimensional IRT model was proposed to account for these two responses styles and wording effects simultaneously. The effectiveness and feasibility of the new model were examined in simulation studies.

Original language	English
Publication status	Published - Apr 2016
Event	National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice - Washington, United States Duration: 01 Apr 2016 → 11 Apr 2016

Conference

Conference	National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice
Abbreviated title	NCME2016
Country/Territory	United States
City	Washington
Period	01/04/16 → 11/04/16

CHEN, H. F., JIN, K. Y., & WANG, W. C. (2016). Modeling acquiescence and extreme response styles and wording effects in mixed-format items. Paper presented at National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, Washington, District of Columbia, United States.

Modeling acquiescence and extreme response styles and wording effects in mixed-format items. / CHEN, Hui Fang; JIN, Kuan Yu; WANG, Wen Chung.
2016. Paper presented at National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, Washington, District of Columbia, United States.

Research output: Contribution to conference › Papers

CHEN, Hui Fang ; JIN, Kuan Yu ; WANG, Wen Chung. / Modeling acquiescence and extreme response styles and wording effects in mixed-format items. Paper presented at National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, Washington, District of Columbia, United States.

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title = "Modeling acquiescence and extreme response styles and wording effects in mixed-format items",

abstract = "Acquiescence and extreme response styles and wording effects are commonly observed in rating scale or Likert items. In this study, a multidimensional IRT model was proposed to account for these two responses styles and wording effects simultaneously. The effectiveness and feasibility of the new model were examined in simulation studies.",

author = "CHEN, \{Hui Fang\} and JIN, \{Kuan Yu\} and WANG, \{Wen Chung\}",

year = "2016",

month = apr,

language = "English",

note = "National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, NCME2016 ; Conference date: 01-04-2016 Through 11-04-2016",

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AU - CHEN, Hui Fang

AU - JIN, Kuan Yu

AU - WANG, Wen Chung

PY - 2016/4

Y1 - 2016/4

N2 - Acquiescence and extreme response styles and wording effects are commonly observed in rating scale or Likert items. In this study, a multidimensional IRT model was proposed to account for these two responses styles and wording effects simultaneously. The effectiveness and feasibility of the new model were examined in simulation studies.

AB - Acquiescence and extreme response styles and wording effects are commonly observed in rating scale or Likert items. In this study, a multidimensional IRT model was proposed to account for these two responses styles and wording effects simultaneously. The effectiveness and feasibility of the new model were examined in simulation studies.

M3 - Papers

T2 - National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice

Y2 - 1 April 2016 through 11 April 2016

ER -

Modeling acquiescence and extreme response styles and wording effects in mixed-format items

Abstract

Conference

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