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Research on processes of multiple-cue judgments usually uses artificial stimuli with predefined cue structures, such as artificial bugs with four binary features like back color, belly color, gland size, and spot shape. One reason for using artifical stimuli is that the cognitive models used in this area need known cues and cue values. This limitation makes it difficult to apply the models to research questions with complex naturalistic stimuli with unknown cue structure. In two studies, building on early categorization research, we demonstrate how cues and cue values of complex naturalistic stimuli can be extracted from pairwise similarity ratings with a multidimensional scaling analysis. These extracted cues can then be used in a state-of-the-art hierarchical Bayesian model of numerical judgments. In the first study, we show that predefined cue structures of artificial stimuli are well recovered by an MDS analysis of similarity judgments and that using these MDS-based attributes as cues in a cognitive model of judgment data from an existing experiment leads to the same inferences as when the original cue values were used. In the second study, we use the same procedure to replicate previous findings from multiple-cue judgment literature using complex naturalistic stimuli. [ABSTRACT FROM AUTHOR]

Exemplar models are often used in research on multiple-cue judgments to describe the underlying process of participants' responses. In these experiments, participants are repeatedly presented with the same exemplars (e.g., poisonous bugs) and instructed to memorize these exemplars and their corresponding criterion values (e.g., the toxicity of a bug). We propose that there are two possible outcomes when participants judge one of the already learned exemplars in some later block of the experiment. They either have memorized the exemplar and their respective criterion value and are thus able to recall the exact value, or they have not learned the exemplar and thus have to judge its criterion value, as if it was a new stimulus. We argue that psychologically, the judgments of participants in a multiple-cue judgment experiment are a mixture of these two qualitatively distinct cognitive processes: judgment and recall. However, the cognitive modeling procedure usually applied does not make any distinction between these processes and the data generated by them. We investigated potential effects of disregarding the distinction between these two processes on the parameter recovery and the model fit of one exemplar model. We present results of a simulation as well as the reanalysis of five experimental data sets showing that the current combination of experimental design and modeling procedure can bias parameter estimates, impair their validity, and negatively affect the fit and predictive performance of the model. We also present a latent-mixture extension of the original model as a possible solution to these issues. [ABSTRACT FROM AUTHOR]

Identity leadership (IL) describes that the effectiveness of a leader will depend upon his capacity to represent a given group, to make the group go forward, to create a group identity, and to make the group matter. An identity leader may increase commitment among his followers by increasing the perception of shared identity and giving more weight in the decision process to his followers. We aim to explore the mechanisms through which a leader who creates a shared group identity can increase organizational commitment. In the first study, we plan to conduct a cross-cultural correlational study where we aim to test if the relationship between IL and organizational commitment is mediated by team identification and mediated-moderated by participation in decision making (PDM) and collective efficacy. In the second study, we aim to explore the direction of the causality between IL and PDM. To test this hypothesis, we will conduct an experimental study in which (1) we will manipulate IL to test its influence on the perception of PDM and (2) we will manipulate PDM to test its influence on the perception of IL. Thus, we will be able to identify the role of IL and the perception of PDM on organizational commitment. [ABSTRACT FROM AUTHOR]