Item Response Theory Models for Carry-Over Effect Across Different Scales.

作者: Kuan-Yu Jin , Wen-Chung Wang

DOI: 10.1177/0146621615572250

关键词:

摘要: It is common in educational and psychological tests or social surveys that the same statement judged on multiple scales. These responses are linked by statement, which may cause local dependence. Considering way a scales, new class of item response theory (IRT) models developed to account for nonrecursive carry-over effect, can be affected only its preceding rather than subsequent response. The parameters estimated with freeware WinBUGS. Two simulation studies were conducted evaluate parameter recovery consequences model misspecification. Results showed recovered fairly well; fitting unnecessarily complicated data did not have effect little harm estimation; ignoring standard IRT yielded biased estimates parameters, correlation between latent traits, test reliability. empirical examples parallel design sequential provided demonstrate implications applications models.

参考文章(22)
Ida Marais, David Andrich, Formalizing dimension and response violations of local independence in the unidimensional Rasch model. Journal of applied measurement. ,vol. 9, pp. 200- 215 ,(2008)
Geoff N. Masters, A Rasch Model for Partial Credit Scoring. Psychometrika. ,vol. 47, pp. 149- 174 ,(1982) , 10.1007/BF02296272
Machteld Hoskens, Paul De Boeck, Componential IRT Models for Polytomous Items Journal of Educational Measurement. ,vol. 32, pp. 364- 384 ,(1995) , 10.1111/J.1745-3984.1995.TB00472.X
Magdalena Mo Ching Mok, Wen-Chung Wang, Ying-Yao Cheng, Shing-On Leung, Li-Ming Chen, Prevalence and Behavioral Ranking of Bullying and Victimization Among Secondary Students in Hong Kong, Taiwan, and Macao Asia-pacific Education Researcher. ,vol. 23, pp. 757- 767 ,(2014) , 10.1007/S40299-013-0151-4
Jürgen Rost, Rasch models in latent classes: An integration of two approaches to item analysis Applied Psychological Measurement. ,vol. 14, pp. 271- 282 ,(1990) , 10.1177/014662169001400305
Wen-Chung Wang, Ying-Yao Cheng, Mark Wilson, Local Item Dependence for Items Across Tests Connected by Common Stimuli. Educational and Psychological Measurement. ,vol. 65, pp. 5- 27 ,(2005) , 10.1177/0013164404268676
Yanmei Li, Daniel M. Bolt, Jianbin Fu, A Comparison of Alternative Models for Testlets Applied Psychological Measurement. ,vol. 30, pp. 3- 21 ,(2006) , 10.1177/0146621605275414
Mark Wilson, Raymond J. Adams, Rasch models for item bundles Psychometrika. ,vol. 60, pp. 181- 198 ,(1995) , 10.1007/BF02301412
David Andrich, Svend Kreiner, Quantifying Response Dependence between Two Dichotomous Items Using the Rasch Model. Applied Psychological Measurement. ,vol. 34, pp. 181- 192 ,(2010) , 10.1177/0146621609360202