An adaptive-learning approach to affect regulation: Strategic influences on evaluative priming

An adaptive cognition approach to evaluative priming is not compatible with the view that the entire process is automatically determined by prime stimulus valence alone. In addition to the evaluative congruity of individual prime–target pairs, an adaptive regulation function should be sensitive to the base rates of positive and negative stimuli as well as to the perceived contingency between prime and target valence. The present study was particularly concerned with pseudocontingent inferences that offer a proxy for the assessment of contingencies from degraded or incomplete stimulus input. As expected, response latencies were shorter for the more prevalent target valence and for evaluatively congruent trials. However, crucially, the congruity effect was eliminated and overridden by pseudocontingencies inferred from the stimulus environment. These strategic inferences were further enhanced when the task called for the evaluation of both prime stimuli and target stimuli.     

Redundancy gain for semantic features

In a go/no-go experiment, semantic redundancy gain was assessed for responses to single written words. Specifically, we asked participants to respond only to words whose meaning matched at least one semantic target feature—that is, the target category (e.g., animal), the target color (e.g., gray), or both. On redundant-target trials, the word (e.g., elephant) matched both semantic target features (i.e., gray and animal). On single-target trials, the word (e.g., beaver) matched one target feature (i.e., animal) and a nontarget feature (i.e., brown). We observed shorter reaction times in the redundant-target condition than in the faster single-target condition. Hence, the present study provides the first evidence that redundancy gain is not limited to responses to redundant proximal stimulus features but can also be observed for responses to semantic feature information.     

Recommendations for Increasing Replicability in Psychology

Replicability of findings is at the heart of any empirical science. The aim of this article is to move the current replicability debate in psychology towards concrete recommendations for improvement. We focus on research practices but also offer guidelines for reviewers, editors, journal management, teachers, granting institutions, and university promotion committees, highlighting some of the emerging and existing practical solutions that can facilitate implementation of these recommendations. The challenges for improving replicability in psychological science are systemic. Improvement can occur only if changes are made at many levels of practice, evaluation, and reward. Copyright © 2013 John Wiley & Sons, Ltd.     

Mediation analysis with structural equation models: Combining theory,design, and statistics

Statistical tests of indirect effects can hardly distinguish between genuine and spurious mediation effects. The present research demonstrates, however, that mediation analysis can be improved by combining a significance test of the indirect effect with assessing the fit of causal models. Testing only the indirect effect can be misleading, because significant results may also be obtained when the underlying causal model is different from the mediation model. We use simulated data to demonstrate that additionally assessing the fit of causal models with structural equation models can be used to exclude subsets of models that are incompatible with the observed data. The results suggest that combining structural equation modeling with appropriate research design and theoretically stringent mediation analysis can improve scientific insights. Finally, we discuss limitations of the structural equation modeling approach, and we emphasize the importance of non‐statistical methods for scientific discovery.     

Influence of judges' behaviors on perceived procedural justice

The influence of judges' behaviors on procedural justice was analyzed in a field study, observing the judges' behaviors during n = 129 trials and assessing the defendants and the audiences' justice perceptions. The observed judicial behavior was unrelated to the defendants' justice perceptions. However, the more respectful the judge treated the defendants, the fairer the audience perceived the trial. In general, the effect size of the relationship between observational measures and subjective justice ratings was small in comparison to the relationship within defendants' or audiences' ratings. There were striking differences in the justice perception between the two data sources, namely defendants and audience. Thus, the source matters, and to avoid a same‐source bias, should be taken into account when analyzing justice perceptions.     

From intrapsychic to ecological theories in social psychology: Outlines of a functional theory approach

Social psychology is facing a major developmental task, which is not primarily one of achieving larger data samples and stricter significance testing. What is needed, rather, is an improvement in logic of science and powerful theorizing. The starting point of this article is a critical appraisal that the intrapsychic concepts (motives, attitudes, and explicit and implicit goals) that are the major focus of social–psychological theories lack in explanatory power because they are too close to the effects (actions, judgments, and decisions) they are intended to explain. To overcome this apparent weakness (compared with neuroscience or genetics), it is proposed that more powerful theories should relate social cognition and behavior to more distant variables in the environment. A functional analysis reveals that intrapsychic processes are multiply predetermined by extrapsychic, environmental constraints. The theoretical value and fertility of the proposed ecological functionalism are illustrated with reference to three areas of empirical research: sampling approaches to understanding biases in judgment and decision making; strategic influences on priming effects within a functional analysis of adaptive behavior; and the impact of verbal and symbolic communication constraints on the construction of attributions, stereotypes, and culture. Copyright © 2014 John Wiley & Sons, Ltd.     

An adaptive-learning approach to affect regulation: strategic influences on evaluative priming

An adaptive cognition approach to evaluative priming is not compatible with the view that the entire process is automatically determined by prime stimulus valence alone. In addition to the evaluative congruity of individual prime-target pairs, an adaptive regulation function should be sensitive to the base rates of positive and negative stimuli as well as to the perceived contingency between prime and target valence. The present study was particularly concerned with pseudocontingent inferences that offer a proxy for the assessment of contingencies from degraded or incomplete stimulus input. As expected, response latencies were shorter for the more prevalent target valence and for evaluatively congruent trials. However, crucially, the congruity effect was eliminated and overridden by pseudocontingencies inferred from the stimulus environment. These strategic inferences were further enhanced when the task called for the evaluation of both prime stimuli and target stimuli.     

The influence of dichotical fusion on the redundant signals effect,localization performance,and the mismatch negativity

In two experiments, each including a simple reaction time (RT) task, a localization task, and a passive oddball paradigm, the physical similarity between two dichotically presented auditory stimuli was manipulated. In both experiments, a redundant signals effect (RSE), high localization performance, and a reliable mismatch negativity (MMN) was observed for largely differing stimuli, suggesting that these are coded separately in auditory memory. In contrast, no RSE and a localization rate close to chance level (experiment 1) or at chance (experiment 2) were observed for stimuli differing to a lesser degree. Crucially, for such stimuli a small (experiment 1) or no (experiment 2) MMN were observed. These MMN results indicate that such stimuli tend to fuse into a single percept and that this fusion occurs rather early within information processing.     

A robust classic

In the present research, we argue for the robustness of illusory correlations (ICs, Hamilton & Gifford, 1976) regarding two boundary conditions suggested in previous research. First, we argue that ICs are maintained under extended experience. Using simulations, we derive conflicting predictions. Whereas noise-based accounts predict ICs to be maintained (Fielder, 2000; Smith, 1991), a prominent account based on discrepancy-reducing feedback learning predicts ICs to disappear (Van Rooy et al., 2003). An experiment involving 320 observations with majority and minority members supports the claim that ICs are maintained. Second, we show that actively using the stereotype to make predictions that are met with reward and punishment does not eliminate the bias. In addition, participants' operant reactions afford a novel online measure of ICs. In sum, our findings highlight the robustness of ICs that can be explained as a result of unbiased but noisy learning.     

Illusory correlations revisited: the role of pseudocontingencies and working-memory capacity

Three experiments investigate illusory correlations in a feedback learning paradigm. Diverging from a standard paradigm, in which stimuli consist of joint observations of group-behaviour pairs, participants were asked to guess the group reference of positive and negative stimulus behaviours. They only knew that one group was larger than the other, and the stimulus series soon revealed that positive (negative) behaviours appeared more frequently in the stimulus series than negative (positive) behaviours. Regardless of whether feedback of the actual group reference was provided or not, the predominant valence was more strongly associated with the large than the small group. This illusory-correlation effect was evident in memory-based measures at the end of the stimulus series as well as in the online predictions during stimulus presentation. The strength of illusory correlations increased with decreasing working-memory capacity, operationalized either by an interpersonal differences measure or a cognitive-load manipulation. The occurrence of illusory correlations in the absence of joint observations about group-valence pairs (in the no-feedback condition and in the early phase of the online prediction task) can be explained as a reflection of pseudocontingency inferences.