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Issues That Should Not Be Overlooked in the Dominance Versus Ideal Point Controversy

Published online by Cambridge University Press:  07 January 2015

Anna Brown*
Affiliation:
SHL Group Ltd
Alberto Maydeu-Olivares
Affiliation:
University of Barcelona
*
E-mail: anna.brown@shlgroup.com, Address: SHL Group Ltd, The Pavilion, 1 Atwell Place, Thames Ditton, Surrey KT7 0NE, UK

Abstract

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Type
Commentaries
Copyright
Copyright © Society for Industrial and Organizational Psychology 2010 

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References

Brown, A., & Maydeu-Olivares, A. (in press). Item response modeling of forced-choice questionnaires. Educational and Psychological Measurement.Google Scholar
Chernyshenko, O., Stark, S., Drasgow, F., & Roberts, B. (2007). Constructing personality scales under the assumption of an ideal point response process: Toward increasing the flexibility of personality measures. Psychological Assessment, 19, 88106. Google Scholar
Drasgow, F., Chernyshenko, O. S., & Stark, S. (2010). 75 years after Likert: Thurstone was right! Industrial and Organizational Psychology: Perspectives on Science and Practice, 3, 465476.Google Scholar
Forero, C. G., & Maydeu-Olivares, A. (2009). Estimation of IRT graded models for rating data: Limited vs. full information methods. Psychological Methods, 14, 275299. Google Scholar
Levine, M. V. (1994). Every data set that is well fit by a two-dimensional IRT model can be equally well fit by a lower dimensional model. Paper presented at the 59th Annual Meeting of the Psychometric Society, Champaign, IL.Google Scholar
Maydeu-Olivares, A. (2005). Further empirical results on parametric vs. non-parametric IRT modeling of Likert-type personality data. Multivariate Behavioral Research, 40, 275293. Google Scholar
Maydeu-Olivares, A., Hernández, A., & McDonald, R. P. (2006). A multidimensional ideal point IRT model for binary data. Multivariate Behavioral Research, 44, 445472. Google Scholar
Peress, M., & Spirling, A. (2009). Scaling the critics: Uncovering the latent dimensions of movie criticism with an item response approach. Journal of the American Statistical Association, 105, 7183. Google Scholar
Stark, S., Chernyshenko, O., & Drasgow, F. (2005). An IRT approach to constructing and scoring pairwise preference items involving stimuli on different dimensions: The multi-unidimensional pairwise-preference model. Applied Psychological Measurement, 29, 184203. Google Scholar
Stark, S., Chernyshenko, O., Drasgow, F., & Williams, B. (2006). Examining assumptions about item responding in personality assessment: Should ideal point methods be considered for scale development and scoring? Journal of Applied Psychology, 91, 2539. Google Scholar
Thurstone, L. L. (1927). A law of comparative judgment. Psychological Review, 34, 273286. Google Scholar
Tsai, R. C., & Böckenholt, U. (2001). Maximum likelihood estimation of factor and ideal point models for paired comparison data. Journal of Mathematical Psychology, 45, 795811. Google Scholar