Putting the pieces together: Self-control as a complex interaction of psychological processes.

Ainslie's account of willpower addresses many important mechanisms (e.g., habit, visceral activation, and implementation intention). We argue that a model of willpower should be grounded in general psychological principles and with a primary focus on their interplay. We discuss the reflective-impulsive model that covers willpower and impulsiveness as special constellations of processes that govern various forms of cognition and behavior.

A Robust Approach to Risk Assessment Based on Species Sensitivity Distributions.

The guidelines for setting environmental quality standards are increasingly based on probabilistic risk assessment due to a growing general awareness of the need for probabilistic procedures. One of the commonly used tools in probabilistic risk assessment is the species sensitivity distribution (SSD), which represents the proportion of species affected belonging to a biological assemblage as a function of exposure to a specific toxicant. Our focus is on the inverse use of the SSD curve with the aim of estimating the concentration, HCp, of a toxic compound that is hazardous to p% of the biological community under study. Toward this end, we propose the use of robust statistical methods in order to take into account the presence of outliers or apparent skew in the data, which may occur without any ecological basis. A robust approach exploits the full neighborhood of a parametric model, enabling the analyst to account for the typical real-world deviations from ideal models. We examine two classic HCp estimation approaches and consider robust versions of these estimators. In addition, we also use data transformations in conjunction with robust estimation methods in case of heteroscedasticity. Different scenarios using real data sets as well as simulated data are presented in order to illustrate and compare the proposed approaches. These scenarios illustrate that the use of robust estimation methods enhances HCp estimation.

Exaggerating differences back and forth: Two levels of intergroup accentuation.

Social perceivers tend to exaggerate existing differences between groups, a phenomenon known as intergroup accentuation. In two preregistered experiments, we tested the hypothesis that accentuation originates in the initial learning of information about a novel group. In both experiments, perceivers exaggerated differences between two fictitious social groups that differed probabilistically in two dimensional traits. As hypothesized, accentuation was stronger for the group encountered second, confirming that accentuation originates partly in processes operating during the acquisition of group information. However, accentuation was also robust for the group encountered first, suggesting that it also occurs 'backward' even when group learning was unbiased. We discuss implications for stereotype formation generally and the perception of social minorities and out-groups specifically. As these groups are often encountered second in social reality, stereotypes of them might be particularly polarized.

When the Ends Justify the Mean: The Endpoint Leverage Effect in Distribution Perception.

Previous research described different cognitive processes on how individuals process distributional information. Based on these processes, the current research uncovered a novel phenomenon in distribution perception: the Endpoint Leverage Effect. Subjective endpoints influence distribution estimations not only locally around the endpoint but also influence estimations across the whole value range of the distribution. The influence is largest close to the respective endpoint and decreases in size toward the opposite end of the value range. Three experiments investigate this phenomenon: Experiment 1 provides correlational evidence for the Endpoint Leverage Effect after presenting participants with a numerical distribution. Experiment 2 demonstrates the Endpoint Leverage Effect by manipulating the subjective endpoints of a numerical distribution directly. Experiment 3 generalizes the phenomenon by investigating a general population sample and estimations regarding a real-world income distribution. In addition, quantitative model analysis examines the cognitive processes underlying the effect. Overall, the novel Endpoint Leverage Effect is found in all three experiments, inspiring further research in a wide area of contexts.

Beyond the incident: Influences on the perception of multiple instances of discrimination.

This article seeks to enhance the theoretical understanding of discrimination perception, especially in contexts with relevant statistical information. Previous research has provided important insights into the perception of single, ambiguous instances of discrimination. However, the generalizability of these insights to scenarios involving multiple, repeated instances of discrimination remains unclear. The current research aims to reduce this uncertainty by investigating whether three key determinants of discrimination perception in single instances - perpetrators' prototypicality, victims' control, and system-justifying beliefs (SJB) - also influence observers' perceptions of repeated discrimination. In Experiments 1 and 2, participants perceived stronger discrimination when perpetrators were prejudiced members of the advantaged group. In Experiments 3 and 4, perceived discrimination intensified when victims had low control, a trend significantly noted in tabular presentations but not in sequential ones. In Experiments 5 and 6, a negative correlation between SJB and discrimination perception was observed. The theoretical and practical implications of these results, as well as open questions, are discussed. Overall, these studies advance our knowledge of discrimination perception in multiple instances. They highlight the intricate interplay between statistical data, moral judgements, and individual belief systems, paving the way for a more nuanced exploration of the underlying psychological processes of discrimination perception.

Benchmark dose profiles for joint-action continuous data in quantitative risk assessment.

Benchmark analysis is a widely used tool in biomedical and environmental risk assessment. Therein, estimation of minimum exposure levels, called benchmark doses (BMDs), that induce a prespecified benchmark response (BMR) is well understood for the case of an adverse response to a single stimulus. For cases where two agents are studied in tandem, however, the benchmark approach is far less developed. This paper demonstrates how the benchmark modeling paradigm can be expanded from the single-agent setting to joint-action, two-agent studies. Focus is on continuous response outcomes. Extending the single-exposure setting, representations of risk are based on a joint-action dose-response model involving both agents. Based on such a model, the concept of a benchmark profile-a two-dimensional analog of the single-dose BMD at which both agents achieve the specified BMR-is defined for use in quantitative risk characterization and assessment.

Deontology and Utilitarianism in Real Life: A Set of Moral Dilemmas Based on Historic Events.

Moral dilemmas are frequently used to examine psychological processes that drive decisions between adhering to deontological norms and optimizing the outcome. However, commonly used dilemmas are generally unrealistic and confound moral principle and (in)action so that results obtained with these dilemmas might not generalize to other situations. In the present research, we introduce new dilemmas that are based on real-life events. In two studies (a European student sample and a North American MTurk sample, total N = 789), we show that the new factual dilemmas were perceived to be more realistic and less absurd than commonly used dilemmas. In addition, factual dilemmas induced higher participant engagement. From this, we draw the preliminary conclusion that factual dilemmas are more suitable for investigating moral cognition. Moreover, factual dilemmas can be used to examine the generalizability of previous results concerning action (vs. inaction) and concerning a wider range of deontological norms.

The psychology of income wealth threshold estimations: A registered report.

How do people estimate the income that is needed to be rich? Two correlative survey studies (Study 1 and 2, N = 568) and one registered experimental study (Study 3, N = 500) examined the cognitive mechanisms that are used to derive an answer to this question. We tested whether individuals use their personal income (PI) as a self-generated anchor to derive an estimate of the income needed to be rich (= income wealth threshold estimation, IWTE). On a bivariate level, we found the expected positive relationship between one's PI and IWTE and, in line with previous findings, we found that people do not consider themselves rich. Furthermore, we predicted that individuals additionally use information about their social status within their social circles to make an IWTE. The findings from study 2 support this notion and show that only self-reported high-income individuals show different IWTEs depending on relative social status: Individuals in this group who self-reported a high status produced higher IWTEs than individuals who self-reported low status. The registered experimental study could not replicate this pattern robustly, although the results trended non-significantly in the same direction. Together, the findings revealed that the income of individuals as well as the social environment are used as sources of information to make IWTE judgements, although they are likely not the only important predictors.

Biased perception of distributions: Anchoring, interpolation and smoothing as potential causes.

Perceiving the degree of variation in the social and non-social environment is a cognitive task that is important for many judgments and decisions. In the present research, we investigated cognitive underpinnings of how people estimate the average value of segments of a statistical distribution (e.g., what is the average income of the richest 25% of a population?). In three experiments (total N = 222), participants learned about the values of experimentally created distributions of income values and city sizes and later estimated the mean value of the four quarters of values. We expected participants to draw on heuristic shortcuts to generate such judgments. More specifically, we hypothesized that participants use the endpoints of the distributions as anchors and determine the mean values by linear interpolation. In addition, we tested the contribution of three further processes (Range-Frequency adjustments, Normal Smoothing, Linear Smoothing). Quantitative model tests suggest that anchoring and Linear Smoothing both affected mean interquartile judgments. This conclusion is corroborated by tests of qualitative predictions of the models under consideration.

Benchmark dose profiles for joint-action quantal data in quantitative risk assessment.

Benchmark analysis is a widely used tool in public health risk analysis. Therein, estimation of minimum exposure levels, called Benchmark Doses (BMDs), that induce a prespecified Benchmark Response (BMR) is well understood for the case of an adverse response to a single stimulus. For cases where two agents are studied in tandem, however, the benchmark approach is far less developed. This article demonstrates how the benchmark modeling paradigm can be expanded from the single-dose setting to joint-action, two-agent studies. Focus is on response outcomes expressed as proportions. Extending the single-exposure setting, representations of risk are based on a joint-action dose-response model involving both agents. Based on such a model, the concept of a benchmark profile (BMP) - a two-dimensional analog of the single-dose BMD at which both agents achieve the specified BMR - is defined for use in quantitative risk characterization and assessment. The resulting, joint, low-dose guidelines can improve public health planning and risk regulation when dealing with low-level exposures to combinations of hazardous agents.

Negation as a means for emotion regulation? Startle reflex modulation during processing of negated emotional words.

This study investigated startle reflex modulation in 33 healthy student participants during the processing of negated emotional items. To build upon previous research, our particular interest was to find out whether processing of negated emotional items modulates emotional responding in line with the logical meaning of the negated expression, or instead leads to paradox emotional effects that point in the direction opposite the one logically implied by the negation. Startle reflex modulation was assessed during silent reading of pleasant and unpleasant nouns. The nouns were either paired with the possessive pronoun my or with the negation word no. The startle eyeblink amplitude was enhanced during processing of the unpleasant pronoun-noun phrases and attenuated during processing of the pleasant phrases. Negation attenuated the startle eyeblink for negated unpleasant nouns and enhanced it for negated pleasant nouns. In line with this finding, negation decreased arousal ratings for unpleasant nouns and reversed the valence ratings for pleasant nouns. Our results are the first to show an effect of negation on both peripheral physiological and subjective indices of affective responding. Our results suggest that negation may be an effective strategy for spontaneous down-regulation of emotional responses to unpleasant, but not to pleasant, stimuli.

Being moved: valence activates approach-avoidance behavior independently of evaluation and approach-avoidance intentions.

Theories from diverse areas of psychology assume that affective stimuli facilitate approach and avoidance behavior because they elicit motivational orientations that prepare the organism for appropriate responses. Recent evidence casts serious doubt on this assumption. Instead of motivational orientations, evaluative-coding mechanisms may be responsible for the effect of stimulus valence on approach-avoidance responses. Three studies tested contrasting predictions derived from these two accounts. Results supported motivational theories, as stimulus valence facilitated compatible approach-avoidance responses even though participants had no intention to approach or to avoid the stimuli, and the valence of the response labels was dissociated from the approach and avoidance movements (Study 1). Stimulus valence also facilitated compatible approach-avoidance responses when participants were not required to process the valence of the stimuli (Studies 2a and 2b). These findings are at odds with the evaluative-coding account and support the notion of a unique, automatic link between the perception of valence and approach-avoidance behavior.

Using the CNI Model to Investigate Individual Differences in Moral Dilemma Judgments.

Typical moral dilemmas pitting the consequences of a given action against the action's consistency with moral norms confound several determinants of moral judgments. Dissociating these determinants, the CNI model allows researchers to quantify sensitivity to consequences, sensitivity to norms, and general preference for inaction over action regardless of consequences and norms. However, with the currently available set of dilemmas for research using the CNI model, the model is not suitable for studies with individual-difference designs. To overcome this limitation, the current research investigated the suitability of an extended dilemma battery to make the CNI model amenable for individual-difference research, examining relations of its parameters with psychopathy, empathic concern, need for cognition, self-reported utilitarianism, behavioral activation/inhibition, moral identity, and religiosity. The results support the suitability of the CNI model for individual-difference research with the extended dilemma battery, providing more nuanced insights into the underpinnings of individual differences in moral dilemma judgments.

When hunger finds no fault with moldy corn: food deprivation reduces food-related disgust.

The main purpose of this study was to examine if disgust toward unpalatable foods would be reduced among food-deprived subjects and if this attenuation would occur automatically even under moderate levels of food deprivation. Subjects were either satiated or food deprived for 15 hours and electromyographic activity was recorded at the levator muscle region while they were watching pictures of palatable versus unpalatable foods, and pictures of positive versus disgust-related control pictures. For control purposes, subjects' activity of the zygomaticus and corrugator muscles was also recorded. As compared with satiated subjects, food-deprived subjects exhibited stronger activity in the zygomaticus muscle region when watching pictures of palatable foods (but not when watching positive control pictures). More important, hungry subjects exhibited weaker activity in the levator muscle region when watching pictures of unpalatable foods (but not when watching disgusting control pictures). Thus, this is the first study ever to show that specific emotions (disgust) are moderated by homeostatic dysregulation automatically. Results indicate that the modulation of facial expressions might play an important role in lowering the threshold for food intake.

Post-conflict speeding: Evidence of sequential effects in motivational conflicts.

Sequential effects in conflict processing (postconflict slowing and conflict adaptation) have primarily been studied in stimulus-response compatibility (SRC) tasks. Moreover, results obtained in SRC paradigms are often proposed as a model of higher-level motivational conflicts. The authors present 3 experiments suggesting that motivational conflicts, such as approach-approach (AA) and avoidance-avoidance (VV) conflicts partially engage different processes than SRC conflicts and thus result in different sequential effects. Instead of postconflict slowing, they predicted speeding after AA conflicts because they expect the approach motivation component of AA conflicts to briefly increase action readiness. Second, the authors expected larger conflict adaptation in VV than AA conflicts because conflict adaptation is known to be enhanced by inducing negative affect. They conducted 3 experiments with varying intertrial intervals (intertrial interval [ITI]) in which participants repeatedly solved hypothetical motivational conflicts (AA, VV) and nonconflicts (NC). In all three experiments, the authors observed postconflict speeding after AA conflicts compared to NC when the ITI was short. Conflict adaptation proved to be less reliable. These results extend previous research on sequential effects in conflict resolution by showing that sequential effects emerge also in higher-level motivational AA and VV conflicts but partially follow different rules than in SRC paradigms. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A sensitivity analysis of the social vulnerability index.

The Social Vulnerability Index (SoVI), created by Cutter et al. (2003), examined the spatial patterns of social vulnerability to natural hazards at the county level in the United States in order to describe and understand the social burdens of risk. The purpose of this article is to examine the sensitivity of quantitative features underlying the SoVI approach to changes in its construction, the scale at which it is applied, the set of variables used, and to various geographic contexts. First, the SoVI was calculated for multiple aggregation levels in the State of South Carolina and with a subset of the original variables to determine the impact of scalar and variable changes on index construction. Second, to test the sensitivity of the algorithm to changes in construction, and to determine if that sensitivity was constant in various geographic contexts, census data were collected at a submetropolitan level for three study sites: Charleston, SC; Los Angeles, CA; and New Orleans, LA. Fifty-four unique variations of the SoVI were calculated for each study area and evaluated using factorial analysis. These results were then compared across study areas to evaluate the impact of changing geographic context. While decreases in the scale of aggregation were found to result in decreases in the variance explained by principal components analysis (PCA), and in increases in the variance of the resulting index values, the subjective interpretations yielded from the SoVI remained fairly stable. The algorithm's sensitivity to certain changes in index construction differed somewhat among the study areas. Understanding the impacts of changes in index construction and scale are crucial in increasing user confidence in metrics designed to represent the extremely complex phenomenon of social vulnerability.

At the boundaries of automaticity: negation as reflective operation.

The present research investigated whether automatic social-cognitive skills are based on the same representations and processes as their controlled counterparts. Using the cognitive task of negating valence, the authors demonstrate that enhanced practice in negating the valence of a stimulus can lead to changes in the underlying associative representation. However, procedural, rule-based components of negations were generally unaffected by practice (Experiments 1-3). Moreover, negations of evaluative stimuli did not influence automatic evaluative responses to these stimuli, unless the negation was included in the associative representation of a stimulus (Experiments 4-6). These results suggest that some practice-related skill improvements are limited to conditions in which a general procedure can be substituted by the retrieval of results of previous applications from associative memory. Implications for research on automaticity and social cognition are discussed.

Contextual influences on implicit evaluation: a test of additive versus contrastive effects of evaluative context stimuli in affective priming.

Drawing on two alternative accounts of the affective priming effect (spreading activation vs. response interference), the present research investigated the underlying processes of how evaluative context stimuli influence implicit evaluations in the affective priming task. Employing two sequentially presented prime stimuli (rather than a single prime), two experiments showed that affective priming effects elicited by a given prime stimulus were more pronounced when this stimulus was preceded by a context prime of the opposite valence than when it was preceded by a context prime of the same valence. This effect consistently emerged for pictures (Experiment 1) and words (Experiment 2) as prime stimuli. These results suggest that the impact of evaluative context stimuli on implicit evaluations is mediated by contrast effects in the attention to evaluative information rather than by additive effects in the activation of evaluative information in associative memory.

Watch the target! Effects in the affective misattribution procedure become weaker (but not eliminated) when participants are motivated to provide accurate responses to the target.

Previous research showed that priming effects in the affective misattribution procedure (AMP) are unaffected by direct warnings to avoid an influence of the primes. The present research examined whether a priming influence is diminished by task procedures that encourage accurate judgments of the targets. Participants were motivated to categorize the affective meaning of nonsense targets accurately by being made to believe that a true word was presented in each trial and by providing feedback on (allegedly) incorrect responses. This condition produced robust priming effects. Priming was however reduced and less reliable relative to more typical AMP conditions in which participants guessed the meaning of openly presented nonsense targets. Affective judgments of nonsense targets were not affected by advance knowledge of the response mapping during the priming phase, which argues against a response-priming explanation of AMP effects. These findings show that affective primes influence evaluative judgments even in conditions in which the motivation to provide accurate responses is high and a priming of motor responses is not possible. Priming effects were however weaker with high accuracy motivation, suggesting that a focus on accurate judgments is an effective strategy to control for an unwanted priming influence in the AMP.

How absent negativity relates to affect and motivation: an integrative relief model.

The present paper concerns the motivational underpinnings and behavioral correlates of the prevention or stopping of negative stimulation - a situation referred to as relief. Relief is of great theoretical and applied interest. Theoretically, it is tied to theories linking affect, emotion, and motivational systems. Importantly, these theories make different predictions regarding the association between relief and motivational systems. Moreover, relief is a prototypical antecedent of counterfactual emotions, which involve specific cognitive processes compared to factual or mere anticipatory emotions. Practically, relief may be an important motivator of addictive and phobic behaviors, self destructive behaviors, and social influence. In the present paper, we will first provide a review of conflicting conceptualizations of relief. We will then present an integrative relief model (IRMO) that aims at resolving existing theoretical conflicts. We then review evidence relevant to distinctive predictions regarding the moderating role of various procedural features of relief situations. We conclude that our integrated model results in a better understanding of existing evidence on the affective and motivational underpinnings of relief, but that further evidence is needed to come to a more comprehensive evaluation of the viability of IRMO.