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MLDS: Maximum Likelihood Difference Scaling in R

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  • Knoblauch, Kenneth
  • Maloney, Laurence T.

Abstract

The MLDS package in the R programming language can be used to estimate perceptual scales based on the results of psychophysical experiments using the method of difference scaling. In a difference scaling experiment, observers compare two supra-threshold differences (a,b) and (c,d) on each trial. The approach is based on a stochastic model of how the observer decides which perceptual difference (or interval) (a,b) or (c,d) is greater, and the parameters of the model are estimated using a maximum likelihood criterion. We also propose a method to test the model by evaluating the self-consistency of the estimated scale. The package includes an example in which an observer judges the differences in correlation between scatterplots. The example may be readily adapted to estimate perceptual scales for arbitrary physical continua.

Suggested Citation

  • 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).
    • Handle: RePEc:jss:jstsof:v:025:i02
    DOI: http://hdl.handle.net/10.18637/jss.v025.i02
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    References listed on IDEAS

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    1. Bruce Schneider, 1980. "A technique for the nonmetric analysis of paired comparisons of psychological intervals," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 357-372, September.
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    Cited by:

    1. 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.
    2. repec:jss:jstsof:25:i02 is not listed on IDEAS

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    1. Randall Bissett & Bruce Schneider, 1983. "A note on the nonmetric analysis of psychological intervals for an unknown ordering of stimuli," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 627-629, December.

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