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Maximum Likelihood Difference Scaling versus Ordinal Difference Scaling of emotion intensity: a comparison

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  • Martin Junge

  • Rainer Reisenzein

Abstract

We compare the utility of Maximum Likelihood Difference Scaling (MLDS) and Ordinal Difference Scaling (ODS) for the measurement of emotion intensity. MLDS and ODS are both nonmetric probabilistic scaling methods based on difference measurement; however, MLDS uses quadruple comparisons (comparison of pairs of stimulus pairs) as input data, whereas ODS uses graded pair comparison judgments, where participants indicate the size of the difference between two stimuli on an ordinal response scale. In two studies using different kinds of emotional stimuli (disgust-inducing pictures, and descriptions of situations eliciting relief), quadruple comparisons and graded pair comparisons of the stimuli were collected and submitted to MLDS and ODS respectively. The scaling solutions were compared in terms of the reliability of the estimated scale values and their correlations to direct ratings of emotion intensity. The findings of both studies suggest that ODS performs at least as well as MLDS on these criteria. In addition, in most cases, good to high agreement between the scale values estimated by the two methods was found. Hence, ODS may be used as an economical alternative to MLDS for the difference scaling of emotional stimuli. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Martin Junge & Rainer Reisenzein, 2015. "Maximum Likelihood Difference Scaling versus Ordinal Difference Scaling of emotion intensity: a comparison," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2169-2185, September.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:5:p:2169-2185
    DOI: 10.1007/s11135-014-0100-1
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    1. Ioannis Kosmidis & David Firth, 2009. "Bias reduction in exponential family nonlinear models," Biometrika, Biometrika Trust, vol. 96(4), pages 793-804.
    2. Michael Schulte-Mecklenbeck & Anton Kuhberger & Rob Ranyard, 2011. "The role of process data in the development and testing of process models of judgment and decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(8), pages 733-739, December.
    3. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, August.
    4. Hahsler, Michael & Hornik, Kurt & Buchta, Christian, 2008. "Getting Things in Order: An Introduction to the R Package seriation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i03).
    5. Knoblauch, Kenneth & Maloney, Laurence T., 2008. "MLDS: Maximum Likelihood Difference Scaling in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i02).
    6. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 115-129, June.
    7. Alan Agresti, 1992. "Analysis of Ordinal Paired Comparison Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(2), pages 287-297, June.
    8. Gordon Bechtel, 1967. "The analysis of variance and pairwise scaling," Psychometrika, Springer;The Psychometric Society, vol. 32(1), pages 47-65, March.
    9. Ioannis Kosmidis, 2014. "Improved estimation in cumulative link models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 169-196, January.
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