Measuring Response Styles Across the Big Five: A Multiscale Extension of an Approach Using Multinomial Processing Trees

REFERENCES

• Akaike , H. 1974 . A new look at the statistical model identification . IEEE Transactions on Automatic Control , 19 : 716 – 723 .
   Web of Science ®Google Scholar
• Austin , E. J. , Deary , I. J. and Egan , V. 2006 . Individual differences in response scale use: Mixed Rasch modelling of responses to NEO-FFI items . Personality and Individual Differences , 40 : 1235 – 1245 .
   Web of Science ®Google Scholar
• Bachman , J. G. and O’Malley , P. M. 1984 . Yea-saying, nay-saying, and going to extremes: Black–white differences in response styles . Public Opinion Quarterly , 48 : 491 – 509 .
   Web of Science ®Google Scholar
• Baumgartner , H. and Steenkamp , J. -B. E. M. 2001 . Response styles in marketing research: A cross-national investigation . Journal of Marketing Research , 38 : 143 – 156 .
   Web of Science ®Google Scholar
• Birnbaum , A. 1968 . “ Some latent trait models and their use in inferring an examinee's ability ” . In Statistical theories of mental test scores , Edited by: Lord , F. M. and Novick , M. R. 397–424 Reading , MA : Addison-Wesley .
   Google Scholar
• Böckenholt , U. 2012 . Modeling multiple response processes in judgment and choice . Psychological Methods , 17 : 665 – 678 .
   PubMed Web of Science ®Google Scholar
• Bolt , D. M. and Johnson , T. R. 2009 . Addressing score bias and differential item functioning due to individual differences in response style . Applied Psychological Measurement , 33 : 335 – 352 .
   Web of Science ®Google Scholar
• Bolt , D. M. and Newton , J. R. 2011 . Multiscale measurement of extreme response style . Educational and Psychological Measurement , 71 : 814 – 833 .
   Web of Science ®Google Scholar
• Buckley , J. 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, Washington, DC , June, Retrieved from http://edsurveys.rti.org/PISA/
   Google Scholar
• Chen , C. , Lee , S. Y. and Stevenson , H. W. 1995 . Response style and cross-cultural comparisons of rating scales among East Asian and North American students . Psychological Science , 6 : 170 – 175 .
   Web of Science ®Google Scholar
• De Jong , M. G. , Steenkamp , J. -B. E. M. , Fox , J.-P. and Baumgartner , H. 2008 . Using item response theory to measure extreme response style in marketing research: A global investigation . Journal of Marketing Research , 45 : 104 – 115 .
   Web of Science ®Google Scholar
• Dolnicar , S. and Grun , B. 2009 . Response style contamination of student evaluation data . Journal of Marketing Education , 31 : 160 – 172 .
   Google Scholar
• Efron , B. 1982 . The jackknife, the bootstrap, and other resampling plans. CBMS-NSF Monographs, 38 , Philadelphia , PA : SIAM .
   Google Scholar
• Embretson , S. E. and Reise , S. P. 2000 . Item response theory for psychologists , Mahwah , NJ : Erlbaum .
   Google Scholar
• Fienberg , S. E. 1970 . Quasi-independence and maximum likelihood estimation in incomplete contingency tables . Journal of the American Statistical Association , 65 : 1610 – 1616 .
   Web of Science ®Google Scholar
• Gail , M. H. 1972 . Mixed quasi-independent models for categorical data . Biometrics , 28 : 703 – 712 .
   Web of Science ®Google Scholar
• Goldberg , L. R. , Johnson , J. A. , Eber , H. W. , Hogan , R. , Ashton , M. C. , Cloninger , C. R. and Gough , H. C. 2006 . The International Personality Item Pool and the future of public-domain personality measures . Journal of Research in Personality , 40 : 84 – 96 .
   Web of Science ®Google Scholar
• Goodman , L. A. 1994 . On quasi-independence and quasi-dependence in contingency tables, with special reference to ordinal triangular contingency tables . Journal of the American Statistical Association , 89 : 1059 – 1063 .
   Web of Science ®Google Scholar
• Hamamura , T. , Heine , S. J. and Paulhus , D. L. 2008 . Cultural differences in response styles: The role of dialectical thinking . Personality and Individual differences , 44 : 932 – 942 .
   Web of Science ®Google Scholar
• Hofstede , G. 2001 . Culture's consequences (2nd ed.) , Thousand Oaks , CA : Sage .
   Google Scholar
• Hui , C. H. and Triandis , H. C. 1989 . Effects of culture and response format on extreme response style . Journal of Cross-Cultural Psychology , 20 : 296 – 309 .
   Web of Science ®Google Scholar
• Javaras , K. N. and 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 : 454 – 463 .
   Web of Science ®Google Scholar
• Johnson , T. R. and Bolt , D. M. 2010 . On the use of factor-analytic multinomial logit item response models to account for individual differences in response style . Journal of Educational and Behavioral Statistics , 35 : 92 – 114 .
   Web of Science ®Google Scholar
• Karner , T. 2002 . The volunteer effect of answering personality questionnaires . Psychologische Beiträge [now known as Psychological Test and Assessment Modeling] , 44 : 42 – 49 .
   Google Scholar
• Khorramdel , L. and Kubinger , K. D. 2006 . The effect of speediness on personality questionnaires: An experiment on applicants within a job recruiting procedure . Psychology Science [now known as Psychological Test and Assessment Modeling] , 48 : 378 – 397 .
   Google Scholar
• MacCann , C. , Fogarty , G. and Roberts , R. D. 2012 . Strategies for success in vocational education: Time management is more important for part-time than full-time students . Learning and Individual Differences , 22 : 618 – 623 .
   Web of Science ®Google Scholar
• McCrae , R. R. and Costa , P. T. 1987 . Validation of the five-factor model of personality across instruments and observers . Journal of Personality and Social Psychology , 52 : 81 – 90 .
   PubMed Web of Science ®Google Scholar
• Nunnally , J. 1967 . Psychometric theory , New York , NY : McGraw-Hill .
   Google Scholar
• Paulhus , D. L. 1991 . “ Measurement and control of response bias ” . In Measures of personality and social psychological attitudes , Edited by: Robinson , J. P. , Shaver , P. R. and Wrightsman , L. S. 17 – 59 . San Diego , CA : Academic Press .
   Google Scholar
• Plieninger , H. and Meiser , T. 2013 . Validity of multi-process IRT models for separating content and response styles , Manuscript submitted for publication .
   Google Scholar
• Rasch , G. 1960 . Probabilistic models for some intelligence and attainment tests , Chicago , IL : University of Chicago Press . Copenhagen, Denmark: Nielsen & Lydiche. (Expanded edition, 1980
   Google Scholar
• Rost , J. 2004 . Lehrbuch Testtheorie: Testkonstruktion [Textbook test theory: Test construction] (2nd ed.) , Bern , , Switzerland : Huber .
   Google Scholar
• Rost , J. , Carstensen , C. and von Davier , M. 1999 . Sind die Big five Rasch-skalierbar? Eine Reanalyse der NEO-FFI-Normierungsdaten [Are the Big Five Rasch scalable? A reanalysis of the NEO-FFI norm data] . Diagnostica , 45 : 119 – 127 .
   Web of Science ®Google Scholar
• Samejima , F. 1969 . “ Estimation of ability using a response pattern of graded scores ” . In Psychometric Monograph No , Vol. 17 , Richmond , VA : Psychometric Society . Retrieved from http://www.psychometrika.org/journal/online/MN17.pdf
   Google Scholar
• Schimmack , U. , Böckenholt , U. and Reisenzein , R. 2002 . Response styles in affect ratings: Making a mountain out of a molehill . Journal of Personality Assessment , 78 : 461 – 483 .
   PubMed Web of Science ®Google Scholar
• Schwarz , G. 1978 . Estimating the dimension of a model . Annals of Statistics , 6 : 461 – 464 .
   Web of Science ®Google Scholar
• Shao , J. and Tu , D. 1995 . The jackknife and bootstrap , New York , NY : Springer-Verlag .
   Google Scholar
• Sireci , S. G. , Thissen , D. and Wainer , H. 1991 . On the reliability of testlet-based tests . Journal of Educational Measurement , 28 : 237 – 247 .
   Web of Science ®Google Scholar
• van Herk , H. , Poortinga , Y. H. and Verhallen , T. M. M. 2004 . Response styles in rating scales: Evidence of method bias in data from six EU countries . Journal of Cross-Cultural Psychology , 35 : 346 – 360 .
   Web of Science ®Google Scholar
• von Davier , M. 2005 . A general diagnostic model applied to language testing data (Research Report No. RR-05-16) , Princeton , NJ : Educational Testing Service .
   Google Scholar
• von Davier , M. 2008 . “ The mixture general diagnostic model ” . In Advances in latent variable mixture models , Edited by: Hancock , G. R. and Samuelson , K. M. 255–274 Charlotte, NC: Information Age Publishing .
   Google Scholar
• von Davier , M. 2010a . “ Why sum scores may not tell us all about test takers ” . In Special Issue on Quantitative Research Methodology Edited by: Wang , L. Vol. 10 , 27 – 36 . Newborn and Infant Nursing Reviews
   Google Scholar
• von Davier , M. 2010b . Hierarchical mixtures of diagnostic models . Psychological Test and Assessment Modeling , 52 : 8 – 28 .
   Google Scholar
• von Davier , M. , Rost , R. and Carstensen , C. H. 2007 . “ Introduction: Extending the Rasch model ” . In Multivariate and mixture distribution Rasch models: Extensions and applications , Edited by: von Davier , M. and Carstensen , C. H. 1 – 12 . New York , NY : Springer .
   Google Scholar
• Wainer , H. , Bradlow , E. T. and Wang , X. 2007 . Testlet response theory and its applications , New York , NY : Cambridge University Press .
   Google Scholar
• Weijters , B. , Geuens , M. and Schillewaert , N. 2010 . The stability of individual response styles . Psychological Methods , 15 : 96 – 110 .
   PubMed Web of Science ®Google Scholar
• Weijters , B. , Schillewaert , N. and Geuens , M. 2008 . Assessing response styles across modes of data collection . Journal of the Academy of Marketing Science , 36 : 409 – 422 .
   Web of Science ®Google Scholar