Measuring the relative contributions of rule-based and exemplar-based processes in judgment: Validation of a simple model
Journal Title: Judgment and Decision Making - Year 2017, Vol 12, Issue 5
Abstract
Judgments and decisions can rely on rules to integrate cue information or on the retrieval of similar exemplars from memory. Research on exemplar-based processes in judgment has discovered several task variables influencing the dominant mode of processing. This research often aggregates data across participants or classifies them as using either exemplar-based or cue-based processing. It has been argued for theoretical and empirical reasons that both kinds of processes might operate together or in parallel. Hence, a classification of strategies may be a severe oversimplification that also sacrifices statistical power to detect task effects. We present a simple measurement tool combining both processing modes. The simple model contains a mixture parameter quantifying the relative contribution of both kinds of processes in a judgment and decision task. In three experiments, we validate the measurement model by demonstrating that instructions and task variables affect the mixture parameter in predictable ways, both in memory-based and screen-based judgments.
Authors and Affiliations
Arndt Bröder, Michael Gräf and Pascal J. Kieslich
Keywords
Related Articles
- EP ID EP678310
- DOI -
- Views 196
- Downloads 0
Predictions on the go: Prevalence of spontaneous spending predictions
The present research examines the prevalence of predictions in daily life. Specifically we examine whether spending predictions for specific purchases occur spontaneously in life outside of a laboratory setting. Across c...
The glow of grime: Why cleaning an old object can wash away its value
For connoisseurs of antiques and antiquities, cleaning old objects can reduce their value. In five experiments (total N = 1,019), we show that lay people also often judge that old objects are worth less when cleaned, and...
Description-based and experience-based decisions: individual analysis
We analyze behavior in two basic classes of decision tasks: description-based and experience-based. In particular, we compare the prediction power of a number of decision learning models in both kinds of tasks. Unlike mo...
Bayesian and frequentist analysis of True and Error models
Birnbaum and Quispe-Torreblanca (2018) presented a frequentist analysis of a family of six True and Error (TE) models for the analysis of two choice problems presented twice to each participant. Lee (2018) performed a Ba...
Cognitive influences on risk-seeking by rhesus macaques
Humans and other animals are idiosyncratically sensitive to risk, either preferring or avoiding options having the same value but differing in uncertainty. Many explanations for risk sensitivity rely on the non-linear sh...