407
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

The Graded Response Differential Discrimination Model Accounting for Extreme Response Style

&

References

  • Arce-Ferrer, A. J. (2006). An investigation into the factors influencing extreme-response style: Improving meaning of translated and culturally adapted rating scales. Educational and Psychological Measurement, 66, 372–392. doi:10.1177/0013164405278575
  • Austin, E. J., Deary, I. J., & Egan, V. (2006). Individual differences in response scale use: Mixed Rasch modelling of responses to NEO-FFI items. Personality and Individual Differences, 40(6), 1235–1245. doi:10.1016/j.paid.2005.10.018
  • Baumgartner, H., & Steenkamp, J.-B. E. M. (2001). Response style in marketing research: A cross-national investigation. Journal of Marketing Research, 38, 143–156. doi:10.1509/jmkr.38.2.143.18840
  • Böckenholt, U. (2012). Modeling multiple response processes in judgment and choice. Psychological Methods, 17(4), 665–678. doi:10.1037/a0028111
  • Berg, I. A., & Collier, J. S. (1953). Personality and group differences in extreme response sets. Educational and Psychological Measurement, 13, 164–169. doi:10.1177/001316445301300202
  • Bolt, D. M., & Johnson, T. R. (2011). Addressing score bias and differential item functioning due to individual differences in response style. Applied Psychological Measurement, 33, 335–352. doi:10.1177/0146621608329891
  • Browne, M. W., & Arminger, G. (1995). Specification and estimation of mean- and covariance-structure models. In G. Arminger, C. C. Clogg, & E. Sobel, (Eds.), Handbook of Statistical Modeling for the Social and Behavioral Sciences (pp. 185–249. New York: Plenum Press.
  • Buckley, J. (2009). Cross-national response styles in international educational assessments: Evidence from PISA 2006. NCES Conference on the Program for International Student Assessment: What we can learn from PISA. Retrieved from http://edsurveys.rti.org/PISA/
  • Byrne, B. M., & Watkins, D. (2003). The issue of measurement invariance revisited. Journal of Cross-Cultural Psychology, 34(2), 155–175. doi:10.1177/0022022102250225
  • Clarke, I. (2000). Extreme response style in cross-cultural research: An empirical investigation. Journal of Social Behavior and Personality, 15, 137–152. doi:10.1108/02651330110396488
  • Cleveland, W., Denby, L., & Liu, C. (2002). Random scale effects (Tech. Rep.). Bell Labs. Retrieved from http://cm.bell-labs.com/cm/ms/departments/sia/wsc/webpapers.html
  • Couch, A., & Keniston, K. (1960). Yeasayers and naysayers: Agreeing response set as a personality variable. Journal of Abnormal and Social Psychology, 60, 151–174. doi:10.1037/h0040372
  • De Jong, M. G., Steenkamp, J.-B. E. M., Fox, J.-P., & Baumgartner, H. (2008). Using item response theory to measure extreme response style in marketing research: A global investigation. Journal of Marketing Research, 45(1), 104–115. doi:10.1509/jmkr.45.1.104
  • Ferrando, P. J. (2009). A graded response model for measuring person reliability. British Journal of Mathematical and Statistical Psychology, 62(3), 641–662. doi:10.1348/000711008X377745
  • Ferrando, P. J. (2014). A factor-analytic model for assessing individual differences in response scale usage. Multivariate Behavioral Research, 49, 390–405. doi:10.1080/00273171.2014.911074
  • Ferrando, P. J., & Lorenzo-Seva, U. (2010). Acquiescence as a source of bias and model and person misfit: A theoretical and empirical analysis. British Journal of Mathematical and Statistical Psychology, 63, 427–448. doi:10.1348/000711009X470740
  • Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. doi:10.1037/1082-989X.9.4.466
  • Greenleaf, E. A. (1992). Measuring extreme response style. Public Opinion Quarterly, 56(3), 328–351. doi:10.1086/269326
  • Harzing, A.-W. (2006). Response styles in cross-national survey research: A 26-country study. International Journal of Cross Cultural Management, 6(2), 243–266. doi:10.1177/1470595806066332
  • Hedeker, D., Mermelstein, R. J., & Demirtas, H. (2008). An application of a mixed-effects location scale model for analysis of ecological momentary assessment (EMA) data. Biometrics, 64(2), 627–634. doi:10.1111/j.1541-0420.2007.00924.x
  • Hu, L.-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:10.1080/10705519909540118
  • Hui, C. H., & Triandis, H. C. (1989). Effects of culture and response format on extreme response style. Journal of Cross-Cultural Psychology, 20, 296–309.
  • Javaras, K. N. (2004). Analysis of Likert Data on Attitudes. Ph.D. thesis, University of Oxford, Oxford, UK.
  • Javaras, K. N., & Ripley, B. D. (2007). An “unfolding” latent variable model for Likert attitude data: Drawing inferences adjusted for response style. Journal of the American Statistical Association, 102(478), 454–463. doi:10.1198/016214506000000960
  • Jin, K.-Y., & Wang, W.-C. (2014). Generalized IRT models for extreme response style. Educational and Psychological Measurement, 74(1), 116–138. doi:10.1177/0013164413498876
  • Jin, S., & Yang-Wallentin, F. (2017). Asymptotic robustness study of the polychoric correlation estimation. Psychometrika, 82(1), 67–85. doi:10.1007/s11336-016-9512-2
  • Johnson, T. R. (2003). On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style. Psychometrika, 68(4), 563–583. doi:10.1007/BF02295612
  • Johnson, T. R., Kulesa, P., Llc, I., Cho, Y. I., & Shavitt, S. (2005). The relation between culture and response styles: Evidence from 19 countries. Journal of Cross-Cultural Psychology, 26, 264–277. doi:10.1177/0022022104272905
  • Khorramdel, L., & von Davier, M. (2014). Measuring response styles across the Big Five: A multiscale extension of an approach using multinomial processing trees. Multivariate Behavioral Research, 49, 161–177. doi:10.1080/00273171.2013.866536
  • Lubbe, D., & Schuster, C. (2016). Consistent dierential discrimination model estimation. Multivariate Behavior Research, 51, 581–587. doi:10.1080/00273171.2016.1182004
  • Masters, G. N. (1982). A rasch model for partial credit scoring. Psychometrika, 47, 149–174. doi:10.1007/BF02296272
  • McGee, R. K. (1962). The relationship between response style and personality variables. I: The measurement of response acquiescence. Journal of Abnormal and Social Psychology, 64, 229–233. doi:10.1037/h0043076
  • Moors, G. (2003). Quality and quantity: Diagnosing response style behavior by means of a latent-class factor approach. socio-demographic correlates of gender role attitudes and perceptions of ethnic discrimination reexamined. International Journal of Methodology, 37(3), 277–302. doi:10.1023/A:1024472110002
  • Morf, M. E., & Jackson, D. N. (1972). An analysis of two response styles: True responding and item endorsement. Educational and Psychological Measurement, 32, 329–353. doi:10.1177/001316447203200210
  • Muthén, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49(1), 115–132. doi:10.1007/BF02294210
  • Muthén, B., du Toit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Unpublished manuscript.
  • Muthén, B., & Asparouhov, T. (2002). Latent variable analysis with categorical outcomes: Multiple-group and growth modeling in Mplus. Retrieved from https://www.statmodel.com/download/webnotes/CatMGLong.pdf
  • Naemi, B. D., Beal, D. J., & Payne, S. C. (2009). Personality predictors of extreme response style. Journal of Personality, 77(1), 261–286. doi:10.1111/j.1467-6494.2008.00545.x
  • Olsson, U. (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika, 44, 443–460. doi:https://doi.org/10.1007/BF02296207
  • Ostendorf, F., & Angleitner, A. (2004). NEO-personality inventory (revised, NEO-PI-R) according to Paul T. Costa and Robert R. McCrae. Hogrefe.
  • Plieninger, H., & Meiser, T. (2014). Validity of multiprocess irt models for separating content and response styles. Educational and Psychological Measurement, 74(5), 875–899. doi:10.1177/0013164413514998
  • Quiroga, A. M. (1992). Studies of the polychoric correlation and other correlation measures for ordinal variables. Unpublished doctoral dissertation, Acta Universitatis Upsaliensis, Uppsala, Sweden.
  • Reif, K., & Melich, A. (2015). Euro-barometer 38.1: Consumer protection and perceptions of science and technology, november 1992. Inter-University Consortium for Political and Social Research (ICPSR). doi:10.3886/ICPSR06045.v2
  • Rossi, P. E., Gilula, Z., and M., A. G. (2001). Overcoming scale usage heterogeneity: A bayesian hierarchical approach. Journal of the American Statistical Association, 96(453), 149–150. doi:10.1198/016214501750332668
  • Rost, J., Carstensen, C., & von Davier, M. (1997). Applying the mixed rasch model to personality questionnaires. In J. Rost & R. Langeheine, (Eds.), Applications of latent trait and latent class models in the social sciences (pp. 324–332. New York, NY: Waxmann. doi:10.1.1.596.2788
  • Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplements, (17). Richmond, VA: Psychometric Society. (Retrieved from http://www.psychometrika.org/journal/online/MN17.pdf)
  • Samejima, F. (1973). Homogeneous case of the continous response model. Psychometrika, 38(2), 203–219. doi:10.1007/BF02291114
  • Savalei, V. (2014). Understanding robust corrections in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 21(1), 149–160. doi:10.1080/10705511.2013.824793
  • Watkins, D., & Cheung, S. (1995). Culture, gender, and response bias: An analysis of responses to the self-description questionnaire. Journal of Cross-Cultural Psychology, 26(5), 490–504. doi:10.1177/0022022195265003
  • Weijters, B., Geuens, M., & Schillewaert, N. (2010). The stability of individual response styles. Psychological Methods, 15, 96–110. doi:10.1037/a0018721
  • Weijters, B., Schillewaert, N., & Geuens, M. (2008). Assessing response styles across modes of data collection. Journal of the Academy of Marketing Science, 36, 409–422. doi:10.1007/s11747-007-0077-6
  • Yang, M. (2008). Normal log-normal mixture, leptokurtosis and skewness. Applied Economics Letters, 15(9), 737–742. doi:10.1080/13504850600749073

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.