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. 2018 Jul;125(4):512–544. doi: 10.1037/rev0000102

Table 4. A Model-by-Phenomenon Matrix Where Check Marks (✓) Indicate That the Model Offers an Account of the Phenomenon.

Phenomenon Model
CCM MDFT MLBA MDbS
Note. Abbreviations of the model names are: CCM for the componential context model, MDFT for decision field theory, MLBA for the multiattribute linear ballistic accumulator model, and MDbS the multialternative decision by sampling.
a The CCM needs a different function for one of the attribute dimensions to produce the polarization effect. There is no a priori rule to select this dimension. b MDFT can be extended to explain these context effects (Tsetsos et al., 2010). c The MLBA model can produce the phantom decoy effect with additional parameterization (Trueblood et al., 2014). d The similarity parameter in MDbS needs to be larger to produce the phantom decoy effect.
Incidental value
Attribute distribution
Loss aversion
Attraction
 Location of decoy
 Distance to decoy
 Time pressure
 Familiarity
 Correlation with the compromise effect
 Anti-correlation with the similarity effect
Compromise
 Time pressure
 Familiarity
 Anti-correlation with the similarity effect
Similarity
 Time pressure
Alignability
Attribute balance
Attribute range
Attribute spacing
Background contrast
Centrality b
Endowment
Less is more b
Perceptual focus
Phantom decoy b c d
Polarization a
Intransitive preference cycles