Resumen

REYES-CONTRERAS, Raúl  y  SANTOYO-VELASCO, Carlos. Integration of Positive and Negative Inputs in Equity Psychophysical Judgements. Acta de investigación psicol [online]. 2022, vol.12, n.1, pp.49-61.  Epub 24-Abr-2023. ISSN 2007-4719.  https://doi.org/10.22201/fpsi.20074719e.2022.1.401.

Equity models properly predict monetary outcomes between two hypothetical employees who differ in inputs; however, they have been unable to predict monetary losses and conditions of n> 2; General Equation of Equity Resource Allocation (Equity Function) is proposed to overcome these limitations, so the aim of this work was to evaluate the generality of the Equity Function in gains and losses contexts. A non-probabilistic factorial design with convenience sampling was used. Sample size was calculated from the desired effect size, the final sample was made up of 30 university students of which 65% were women who were 19.87 years old (SD = 1.23). A hypothetical task of resource allocation was proposed to employees who differ in their levels of merits, in which throughout 18 scenarios according to a repeated measures design (3 levels of merits of A) X 3 (levels of merits of B) x 2 (Gains and Losses) the participants assigned amounts in monetary gains and losses. Data was analyzed using Repeated Measures ANOVA, the effect size calculation using the Partial Square Eta parameter and the simple linear regression analysis of each curve were performed to obtain the slope of each line. In the context of gains, main effects of employee A and B were found, no interaction effects were found. In the context of losses, main effects of employee A and B were contrasted, as well as interaction effects. Robust effect sizes were found for all factors. Analysis of regression equations slopes shows that the loss amounts were larger than the gains amounts. Additive integration rules were found in the field of gains and indications of multiplicative integration rules in the field of losses. The General Equation of Equity Resource Allocation adequately predicts the amounts of gains and losses, being more precise in the field of gains compared to losses. According from these results, it is proposed that cognitive process of assigning a gain is different from those of assigning a loss. Limitations and alternative courses of action were raised.

Palabras llave : Integration information theory; Equity theory; Functional measurement; Equity function; Psychophysical judgement.

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