Salience effects in information acquisition: No evidence for a top-down coherence influence.

The Integrated Coherence-Based Decision and Search (iCodes) model proposed by Jekel et al. (Psychological Review, 125 (5), 744-768, 2018) formalizes both decision making and pre-decisional information search as coherence-maximization processes in an interactive network. Next to bottom-up attribute influences, the coherence of option information exerts a top-down influence on the search processes in this model, predicting the tendency to continue information search with the currently most attractive option. This hallmark "attraction search effect" (ASE) has been demonstrated in several studies. In three experiments with 250 participants altogether, a more subtle prediction of an extended version of iCodes including exogenous influence factors was tested: The salience of information is assumed to have both a direct (bottom-up) and an indirect (top-down) effect on search, the latter driven by the match between information valence and option attractiveness. The results of the experiments largely agree in (1) showing a strong ASE, (2) demonstrating a bottom-up salience effect on search, but (3) suggesting the absence of the hypothesized indirect top-down salience effect. Hence, only two of three model predictions were confirmed. Implications for various implementations of exogenous factors in the iCodes model are discussed.

Empirical content as a criterion for evaluating models.

Hypotheses derived from models can be tested in an empirical study: If the model reliably fails to predict behavior, it can be dismissed or modified. Models can also be evaluated before data are collected: More useful models have a high level of empirical content (Popper in Logik der Forschung, Mohr Siebeck, Tübingen, 1934), i.e., they make precise predictions (degree of precision) for many events (level of universality). I apply these criteria to reflect on some critical aspects of Kirsch's (Cognit Process, 2019. https://doi.org/10.1007/s10339-019-00904-3 ) unifying computational model of decision making.

Eristic reasoning: Adaptation to extreme uncertainty.

Heuristics (shortcut solution rules) can help adaptation to uncertainty by leading to sufficiently accurate decisions with little information. However, heuristics would fail under extreme uncertainty where information is so scarce that any heuristic would be highly misleading for accuracy-seeking. Thus, under very high levels of uncertainty, decision-makers rely on heuristics to no avail. We posit that eristic reasoning (i.e., self-serving inferences for hedonic pursuits), rather than heuristic reasoning, is adaptive when uncertainty is extreme, as eristic reasoning produces instant hedonic gratifications helpful for coping. Eristic reasoning aims at hedonic gains (e.g., relief from the anxiety of uncertainty) that can be pursued by self-serving inferences. As such, eristic reasoning does not require any information about the environment as it instead gets cues introspectively from bodily signals informing what the organism hedonically needs as shaped by individual differences. We explain how decision-makers can benefit from heuristic vs. eristic reasoning under different levels of uncertainty. As a result, by integrating the outputs of formerly published empirical research and our conceptual discussions pertaining to eristic reasoning, we conceptually criticize the fast-and-frugal heuristics approach, which implies that heuristics are the only means of adapting to uncertainty.

The process of replication target selection in psychology: what to consider?

Increased execution of replication studies contributes to the effort to restore credibility of empirical research. However, a second generation of problems arises: the number of potential replication targets is at a serious mismatch with available resources. Given limited resources, replication target selection should be well-justified, systematic and transparently communicated. At present the discussion on what to consider when selecting a replication target is limited to theoretical discussion, self-reported justifications and a few formalized suggestions. In this Registered Report, we proposed a study involving the scientific community to create a list of considerations for consultation when selecting a replication target in psychology. We employed a modified Delphi approach. First, we constructed a preliminary list of considerations. Second, we surveyed psychologists who previously selected a replication target with regards to their considerations. Third, we incorporated the results into the preliminary list of considerations and sent the updated list to a group of individuals knowledgeable about concerns regarding replication target selection. Over the course of several rounds, we established consensus regarding what to consider when selecting a replication target. The resulting checklist can be used for transparently communicating the rationale for selecting studies for replication.

The mediating role of job satisfaction between leader-member exchange and turnover intentions.

AIM: The aim of the present study was to investigate whether job satisfaction mediates between leader-member exchange and nurse turnover intentions. BACKGROUND: Limited knowledge is available on the mediating role of job satisfaction between leader-member exchange and turnover intentions in the nursing field. METHOD: This is a cross-sectional survey study. Data were collected in a US hospital. RESULTS: Higher leader-member exchange was associated with lower turnover intentions (ß=-0.41, P<0.001). Leader-member exchange was positively related to one's job satisfaction (ß=0.50, P<0.001). Job satisfaction was negatively related to turnover intentions (ß=-0.64, P<0.001). When leader-member exchange and job satisfaction were both controlled for, the link between leader-member exchange and turnover intentions was no longer significant (ß=-0.12, P>0.05). CONCLUSION: Job satisfaction mediates the link between leader-member exchange and turnover intentions. IMPLICATIONS FOR NURSING MANAGEMENT: The present study reinforces the significant role of managers. Nurse managers can try to cultivate a good relationship with the nurses. This can enhance nurses' job satisfaction and in turn lower their turnover intentions.

A new and unique prediction for cue-search in a parallel-constraint satisfaction network model: The attraction search effect.

A common assumption of many established models for decision making is that information is searched according to some prespecified search rule. While the content of the information influences the termination of search, usually specified as a stopping rule, the direction of search is viewed as being independent of the valence of the retrieved information. We propose an extension to the parallel constraint satisfaction network model (iCodes: integrated coherence-based decision and search), which assumes-in contrast to prespecified search rules-that the valence of available information influences search of concealed information. Specifically, the model predicts an attraction search effect in that information search is directed toward the more attractive alternative given the available information. In 3 studies with participants choosing between two options based on partially revealed probabilistic information, the attraction search effect was consistently observed for environments with varying costs for information search although the magnitude of the effect decreased with decreasing monetary search costs. We also find the effect in reanalyses of 5 published studies. With iCodes, we propose a fully specified formal model and discuss implications for theory development within competing modeling frameworks. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Finding the right fit: A comparison of process assumptions underlying popular drift-diffusion models.

Recent research makes increasing use of eye-tracking methodologies to generate and test process models. Overall, such research suggests that attention, generally indexed by fixations (gaze duration), plays a critical role in the construction of preference, although the methods used to support this supposition differ substantially. In 2 studies we empirically test prototypical versions of prominent processing assumptions against 1 another and several base models. We find that general evidence accumulation processes provide a good fit to the data. An accumulation process that assumes leakage and temporal variability in evidence weighting (i.e., a primacy effect) fits the aggregate data, both in terms of choices and decision times, and does so across varying types of choices (e.g., charitable giving and hedonic consumption) and numbers of options well. However, when comparing models on the level of the individual, for a majority of participants simpler models capture choice data better. The theoretical and practical implications of these findings are discussed. (PsycINFO Database Record

What is adaptive about adaptive decision making? A parallel constraint satisfaction account.

There is broad consensus that human cognition is adaptive. However, the vital question of how exactly this adaptivity is achieved has remained largely open. Herein, we contrast two frameworks which account for adaptive decision making, namely broad and general single-mechanism accounts vs. multi-strategy accounts. We propose and fully specify a single-mechanism model for decision making based on parallel constraint satisfaction processes (PCS-DM) and contrast it theoretically and empirically against a multi-strategy account. To achieve sufficiently sensitive tests, we rely on a multiple-measure methodology including choice, reaction time, and confidence data as well as eye-tracking. Results show that manipulating the environmental structure produces clear adaptive shifts in choice patterns - as both frameworks would predict. However, results on the process level (reaction time, confidence), in information acquisition (eye-tracking), and from cross-predicting choice consistently corroborate single-mechanisms accounts in general, and the proposed parallel constraint satisfaction model for decision making in particular.

Victim sensitivity and the accuracy of social judgments.

Recent theorizing on the relation between victim sensitivity and unethical behavior predicts that victim sensitivity is related to an asymmetrical focus on cues associated with untrustworthiness compared to cues associated with trustworthiness. This hypothesis and its consequences for the accuracy of social predictions are investigated in this article. In Study 1, participants rated the trustworthiness of 35 computer-animated faces that differed in their emotional expression. People high in victim sensitivity rated neutral and hostile faces more untrustworthy than people low in victim sensitivity, whereas no such effect was found for friendly faces. In Study 2, participants predicted the cooperativeness of 56 targets on the basis of minimal information. The accuracy of predictions was negatively related to victim sensitivity, and people high in victim sensitivity systematically underestimated targets' cooperativeness. Thus, the asymmetrical focus on untrustworthiness cues among victim-sensitive individuals seems to impair rather than improve their social judgments.