Journal of Mathematical Psychology

Dataset used in the paper "Four-decision tests for stochastic dominance, with an application to environmental psychophysics" by Angel G. Angelov, Magnus Ekström, Bengt Kriström, & Mats E. Nilsson. The data are from an experiment where participants were asked about their willingness to pay for an improved residential sound environment (traffic noise reduction). Each participant was requested to answer by means of: (i) a self-selected point (SSP), i.e., the amount in Swedish kronor he/she would be willing to pay per month for the improvement, and (ii) a self-selected interval (SSI), i.e., the lowest and highest amounts he/she would be willing to pay. Description of the variables and some remarks are given in a separate file.

Data obtained using a retro- and post-cue visual short-term memory task.

Definitions for data file accompanying “Confidence and Varieties of Bias” Andrew Heathcote, Eleanor Holloway and James Sauer email: andrew.heathcote@utas.edu.au RData file (bring into R with "load" command) with the following columns s # Subject column, 32 subjects Levels: "0" "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" "31" BLK # Type of block (bias manipulation type or none in control) Levels: "payoff" "proportion" "control" S # stimulus Levels: "blue" "orange" D # stimulus difficulty Levels: "easy" "hard" B # bias favors Levels: "none" "blue" "orange" BF # bias for, i.e., bias favors stimulus, NA for control condition Levels: "no" "yes" R # Response Levels: "blue" "orange" C # accuracy of responce Levels: "FALSE" "TRUE" RT # response time in seconds (RT < .2 not censored as done for paper analysis)

Cancellation conditions play a central role in the representation theory of measurement for a weak order on a finite two-dimensional Cartesian product set X. A weak order has an additive representation if and only if it violates no cancellation conditions. Given X, a longstanding open problem is to determine the simplest set of cancellation conditions that is violated by every non-additive linear order. Here, we report that a simplest set of cancellation conditions on a 5 by 5 product X is obtained and reported in a PDF file. The critical-to-inspect linear orders generated for analysis, the Maple worksheets to produce them, and the worksheets to do proofs are provided in ASCII format and in PDF.

Contains: 1. Observations from each trial of the gamble-matching experiment described in Barch & Chechile (2016) in long format. 2. Estimated model parameters for each of the candidate risky-weighting functions assessed in Barch & Chechile (2016) for each participant for both positive and negative gambles.