Violations of transitive preference: A comparison of compensatory and noncompensatory accounts.

Violations of transitive preference can be accounted for by both the noncompensatory lexicographic semiorder heuristic and the compensatory additive difference model. However, the two have not been directly compared. Here, we fully develop a simplified additive difference (SAD) model, which includes a graphical analysis of precisely which parameter values are consistent with adherence to, or violation of, transitive preference, as specified by weak stochastic transitivity (WST) and triangle inequalities (TI). The model is compatible with compensatory, within-dimension evaluation. We also develop a stochastic difference threshold model that also predicts intransitive preferences and encompasses a stochastic lexicographic semiorder model. We apply frequentist methods to compare the goodness of fit of both of these models to Tversky's (1969) data and four replications and Bayes factor methods to determine the strength of evidence for each model. We find that the two methods of analysis converge and that, for two thirds of the participants for whom predictions can be made, one of these models predicting violations of WST has a good and the best fit and has strong Bayesian support relative to an encompassing model. Furthermore, for about 20% of all participants, the SAD model (consistent with violations of WST or TI) is significantly better-fitting and has stronger Bayesian support than the stochastic difference threshold model. Finally, Bayes factor analysis finds strong evidence against transitive models for most participants for whom the SAD model consistent with violation of WST or TI is strongly supported. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Future of Decisions From Experience: Connecting Real-World Decision Problems to Cognitive Processes.

In many important real-world decision domains, such as finance, the environment, and health, behavior is strongly influenced by experience. Renewed interest in studying this influence led to important advancements in the understanding of these decisions from experience (DfE) in the last 20 years. Building on this literature, we suggest ways the standard experimental design should be extended to better approach important real-world DfE. These extensions include, for example, introducing more complex choice situations, delaying feedback, and including social interactions. When acting upon experiences in these richer and more complicated environments, extensive cognitive processes go into making a decision. Therefore, we argue for integrating cognitive processes more explicitly into experimental research in DfE. These cognitive processes include attention to and perception of numeric and nonnumeric experiences, the influence of episodic and semantic memory, and the mental models involved in learning processes. Understanding these basic cognitive processes can advance the modeling, understanding and prediction of DfE in the laboratory and in the real world. We highlight the potential of experimental research in DfE for theory integration across the behavioral, decision, and cognitive sciences. Furthermore, this research could lead to new methodology that better informs decision-making and policy interventions.

A systematic investigation into the reliability of inter-temporal choice model parameters.

Decades of work have been dedicated to developing and testing models that characterize how people make inter-temporal choices. Although parameter estimates from these models are often interpreted as indices of latent components of the choice process, little work has been done to examine their reliability. This is problematic because estimation error can bias conclusions that are drawn from these parameter estimates. We examine the reliability of parameter estimates from 11 prominent models of inter-temporal choice by (a) fitting each model to data from three previous experiments with designs representative of those typically used to study inter-temporal choice, (b) examining the consistency of parameters estimated for the same person based on different choice sets, and (c) conducting a parameter recovery analysis. We find generally low correlations between parameters estimated for the same person from the different choice sets. Moreover, parameter recovery varies considerably between models and the experimental designs upon which parameter estimates are based. We conclude that many parameter estimates reported in previous research are likely unreliable and provide recommendations on how to enhance the reliability of inter-temporal choice models for measurement purposes.

A query theory account of the attraction effect.

We provide novel support for Query Theory, a reason-based decision framework, extending it to multialternative choices and applying it to the classic phenomenon known as the attraction effect. In Experiment 1 (N = 261), we generalised the two key metrics used in Query Theory from binary to multialternative choices and found that reasons supporting the target option were generated earlier and in greater quantity than those supporting the competitor, as predicted by the theory. In Experiment 2 (N = 703), we investigated the causal relationships between reasoning and choices by exogenously manipulating the order in which participants generated their reasons. As predicted, the size of the attraction effect was a function of this query order manipulation. We also introduced a bidirectional reason coding protocol to measure the valence of reasons, which confirmed support for Query Theory. We suggest the Query Theory framework can be useful for studying the high-level deliberation processes behind multialternative choices.

Risk compensation during COVID-19: The impact of face mask usage on social distancing.

To reduce the spread of COVID-19, governments around the world have recommended or required minimum physical distancing between individuals, as well as either mandating or recommending the use of face coverings (masks) in certain circumstances. When multiple risk reduction activities can be adopted, people may engage in risk compensation by responding to a reduced (perceived) risk exposure due to one activity by increasing risk exposure due to another. We tested for risk compensation in two online experiments that investigated whether either wearing a mask or seeing others wearing masks reduced physical distancing. We presented participants with stylized images of everyday scenarios involving themselves with or without a mask and a stranger with or without a mask. For each scenario, participants indicated the minimum distance they would keep from the stranger. In line with risk compensation, we found that participants indicated they would stand, sit, or walk closer to the stranger if either of them was wearing a mask. This form of risk compensation was stronger for those who believed masks were effective at preventing catching or spreading COVID-19, and for younger (18-40 years) compared to older (over 65 years) participants. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

An evaluation and comparison of models of risky intertemporal choice.

Risky intertemporal choices involve choosing between options that can differ in outcomes, their probability of receipt, and the delay until receipt. To date, there has been no attempt to systematically test, compare, and evaluate theoretical models of such choices. We contribute to theory development by generating predictions from 7 models for 3 common manipulations-magnitude, certainty, and immediacy-across 6 different types of risky intertemporal choices. Qualitative and quantitative comparisons of model predictions to data from an experiment involving almost 4,000 individual choices revealed that an attribute comparison-model, newly modified to incorporate risky intertemporal choices, (the risky intertemporal choice heuristic or RITCH) provided the best account of the data. Results are consistent with growing evidence in support of attribute comparison models in the risky and intertemporal choice literatures, and suggest that the relatively poorer fits of translation-based models reflect their inability to predict the differential impact of certainty and immediacy manipulations. Future theories of risky intertemporal choice may benefit from treating risk and time as independent dimensions, and focusing on attribute-comparison rather than value-comparison processes. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Can a single model account for both risky choices and inter-temporal choices? Testing the assumptions underlying models of risky inter-temporal choice.

There is growing interest in modelling how people make choices that involve both risks and delays, i.e., risky inter-temporal choices. We investigated an untested assumption underlying several proposed risky inter-temporal choice models: that pure risky choices and pure inter-temporal choices are special cases of risky inter-temporal choice. We tested this assumption by presenting a single group of participants with risky choices and inter-temporal choices. We then compared the performance of a model that is fit to both choice types simultaneously, with the performance of separate models fit to the risky choice and inter-temporal choice data. We find, using Bayesian model comparison, that the majority of participants are best fit by a single model that incorporates both risky and inter-temporal choices. This result supports the assumption that risky choices and inter-temporal choices may be special cases of risky inter-temporal choice. Our results also suggest that, under the conditions of our experiment, interpretation of monetary value is very similar in risky choices and inter-temporal choices.