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

Hui Fang CHEN, Kuan Yu JIN, Wen Chung WANG

Research output: Contribution to conferencePapers

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 languageEnglish
Publication statusPublished - Apr 2016

Citation

Chen, H.-F., Jin, K.-Y., & Wang, W.-C. (2016, April). Modeling acquiescence and extreme response styles and wording effects in mixed-format items. Paper presented at the National Council on Measurement in Education (NCME) 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, DC Downtown Hotel, Washington, DC.

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