An Analysis of Multidimensional Construct with Multidimensional Pairwise Preference Format

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Nurseeta Phoesalae
Nuttaporn Lawthong
Siwachoat Srisuttiyakorn


The Multidimensional Pairwise Preference (MDPP) format is a sub-format of the forced choice format. Its important property is to present respondents with two statements similar in social desirability (SD) but different in dimension. There are now research-based recommendations for constructing MDPP measures in order to score with MUPP IRT Model efficiently. Construction of MDPP measures is divided into 3 phases. Phase 1 deals with developing many statements representing different personality dimensions, administering the statements to a group of judges instructed to evaluate each statement, administering the statements to a group of participants instructed to rate themselves, estimating item parameters for the individual statement, collecting and storing the statements into an item bank. Phase 2 deals with developing measures by pairing statements similar in desirability but representing different dimensions. Phase 3 deals with analyzing the scores of the respondents.


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Brown, A. & Olivares, A. M. (2011). Item Response Modeling of forced-choice questionnaires. Educational and Psychological Measurement, 71(3), 460-502.

Brown, A. (2015). Personality Assessment, Forced-choice. International Encyclopedia of the Social and Behavioral Sciences (2nd Ed.). Netherlands: Elsevier.

Cao, M. (2016). Examining the fakability of forced-choice individual differences measures. Doctoral dissertation in Psychology University of Illinois at Urbana-Champaign.

Huber, C. (2017). Faking and the Validity of Personality Tests: Using New Faking-Resistant Measures to Study Some Old Questions. Ph.D. Dissertation in Philosophy University of Minnesota.

Lee, P., Joo, S. H. & Lee, S. (2019). Examining stability of personality profile solutions between Likert-type and multidimensional forced choice measure. Personality and Individual Differences, 142(7), 13-20.

McCloy, R., Heggestad, E. & Reeve, C. (2005). A Silk Purse from the Sow's Ear: Retrieving Normative Information from Multidimensional Forced-Choice Items. Organizational Research Methods, 8(2), 222-248.

Oswald, F. L., Shaw, A. & Farmer, W. L. (2015). Comparing Simple Scoring with IRT Scoring of Personality Measures: The Navy Computer Adaptive Personality Scales. Applied psychological measurement, 39(2), 144–154.

Stark, S., Chernyshenko, O. & Drasgow, F. (2005). An IRT approach to constructing and scoring pairwise preference items involving stimuli on different dimensions: An application to the problem of faking in personality assessment. Applied Psychological Measurement, 29(3), 184- 201.

Stark, S., Chernyshenko, O. S., Drasgow, F. & Williams, B. A. (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(1), 25–39.

Stark, S., Chernyshenko, O., Drasgow, F. & White, L. (2012). Adaptive Testing with Multidimensional Pairwise Preference Items: Improving the efficiency of personality and other noncognitive assessment. Organizational Research Methods, 15(3), 463-487.

Stark, S., Chernyshenko, O., Drasgow, F., Nye, C., White, L., Heffner, T. & Farmer, W. (2014). From ABLE to TAPAS: A New Generation of Personality Tests to Support Military Selection and Classification Decisions. Military Psychology, 26(3), 153-164.

Tay, L., Drasgow, F., Rounds, J. & Williams, B. A. (2009). Fitting measurement models to vocational interest data: Are dominance models ideal?. Journal of Applied Psychology, 94(5), 1287–1304.

Tay, L., Ali, U. S., Drasgow, F. & Williams, B. (2011). Fitting IRT models to dichotomous and polytomous data: Assessing the relative model–data fit of ideal point and dominance models. Applied Psychological Measurement, 35(4), 280-295.

Usami, S., Sakamoto, A., Naito, J. & Abe, Y. (2016). Developing Pairwise Preference-Based Personality Test and Experimental Investigation of Its Resistance to Faking Effect by item response model. International Journal of testing, 16(4), 288-309.

Wang, W., Qiu, X., Chen, C., Ro, S. & Jin, K. (2017). Item Response Theory Models for Ipsative Tests With Multidimensional Pairwise Comparison Items. Applied Psychological Measurement. 41(8). 600-613.