Environmental attitude as a mediator of the relationship between psychological restoration in nature and self-reported ecological behavior

Environmental attitude and ecological behavior were investigated in relation to the use of nature for psychological restoration. Specifically, with survey data from 468 German university students, the role of environmental attitude was investigated as a mediator of the restoration-behavior relationship. Assuming that positive experiences in nature can have a broad influence on environmental attitudes, the New Ecological Paradigm (NEP) scale, an attitudinal measure with broad scope, was adopted. Hierarchical regression analyses indicated partial mediation by environmental concern. The study helps to consolidate the restoration theme in the growing literature on positive motivations for ecological behavior.     

Challenges for interactivist-constructivist robotics

The interactivist-constructivist (IC) approach offers an attractive framework for the development of intelligent robots. However, we still lack genuinely intelligent robots, capable of representing the world, in the IC sense. Here we argue that the reason for this situation is the lack of learning mechanisms that would allow the components of the robotic controller to learn constructively while they direct the robot's action in accordance to its value system. We also suggest that spike-timing-dependent plasticity (STDP) may be such a learning mechanism that operates in the brain.     

A new look at sensory attenuation. Action-effect anticipation affects sensitivity, not response bias

The systematic association of an action that a person performs with its sensory effects is thought to attenuate that person's perception of the effect of the action. However, whether learned sensorimotor contingencies truly affect perception, rather than just inducing a response bias, has yet to be determined. The experiment presented in this article comprised two parts: an action-effect association phase and a test phase, during which the actions' perceptual effects were tested. During the association phase, specific actions (left-key and right-key presses) were associated with specific visual effects (tilted Gabor patches). In the test phase, participants' left-key presses and right-key presses triggered the onset of a low-contrast tilted Gabor patch in 50% of trials (no stimulus was presented on the remaining 50% of trials). Participants were required to report the presence or absence of this tilted Gabor patch. Our results showed that participants' sensitivity (d') to the Gabor patches was reduced by 10% when the patches were triggered by the action they had previously been associated with. This finding indicates that a person's action does not induce a response bias (c), but changes the perception (d') of the learned action effect.     

Understanding the foot‐in‐the‐door effect as a pseudo‐effect from the perspective of the Campbell paradigm

Compliance with a small request (a metaphorical foot‐in‐the‐door) promotes compliance with a subsequent big request. Whereas some explanations expect a drop in the behavioural costs of the big request, others suspect that the effect comes from boosting the underlying attitude. However, evidence for both explanations is equivocal and circumstantial, at best. Drawing on what Kaiser et al. (2010) call the Campbell paradigm, we present an integrative account: Compliance with any request demands a corresponding attitude to counterbalance the costs of the request. In our research, 229 participants were randomly assigned to either a foot‐in‐the‐door (i.e., initially asked to sign a pro‐environmental petition) or a control condition. Small‐request‐compliant participants were more likely than control participants to also comply with the big request and to continue filling out environmental‐issues‐related questionnaires. However, this foot‐in‐the‐door effect occurred without diminishing behavioural costs or increasing attitude levels. Accordingly, the greater likelihood of small‐request‐compliant participants to also comply with the big request can be parsimoniously explained by baseline variability in people's attitude levels that manifests in their compliance with the initial request. We conclude that several of the foot‐in‐the‐door effects reported in the literature carry the risk of representing mere pseudo‐effects.     

Automatic Bayes Factors for Testing Equality- and Inequality-Constrained Hypotheses on Variances

In comparing characteristics of independent populations, researchers frequently expect a certain structure of the population variances. These expectations can be formulated as hypotheses with equality and/or inequality constraints on the variances. In this article, we consider the Bayes factor for testing such (in)equality-constrained hypotheses on variances. Application of Bayes factors requires specification of a prior under every hypothesis to be tested. However, specifying subjective priors for variances based on prior information is a difficult task. We therefore consider so-called automatic or default Bayes factors. These methods avoid the need for the user to specify priors by using information from the sample data. We present three automatic Bayes factors for testing variances. The first is a Bayes factor with equal priors on all variances, where the priors are specified automatically using a small share of the information in the sample data. The second is the fractional Bayes factor, where a fraction of the likelihood is used for automatic prior specification. The third is an adjustment of the fractional Bayes factor such that the parsimony of inequality-constrained hypotheses is properly taken into account. The Bayes factors are evaluated by investigating different properties such as information consistency and large sample consistency. Based on this evaluation, it is concluded that the adjusted fractional Bayes factor is generally recommendable for testing equality- and inequality-constrained hypotheses on variances.     

The contextual role of subjective age in the chronological age/absenteeism relationship in blue and white collar teams

Organizations in the twenty-first century face the challenges of an increasingly ageing workforce, which have an effect on organizational health and productivity. As chronological age has shown to be an insufficient indicator of employees’ health and, in particular, absenteeism, we apply the subjective age concept (i.e., how old an employee feels) at the team-level to explain the average chronological age/average short-term absenteeism relationship. We develop a theoretical framework for underlying processes, combining the subjective age research with the socioemotional selectivity theory and team contagion processes. We test our predictions in a time-lagged team-level sample of 1,015 teams with 12,926 employees to find a significant interactive effect of average chronological age and average subjective age on average short-term absenteeism in teams. The relationship is negative and significant when average subjective age is low. Under high-average subjective age, the relationship is non-significant. Furthermore, this interactive effect (average chronological age/average subjective age) is moderated by job type (white versus blue collar) in the form of a three-way interaction, indicating that the effect is only significant among white collar teams. We hope to enrich the theoretical debate on age and absenteeism and provide organizations with a new perspective on ageing work teams.     

Anomalies in the detection of change: When changes in sample size are mistaken for changes in proportions

Detecting changes, in performance, sales, markets, risks, social relations, or public opinions, constitutes an important adaptive function. In a sequential paradigm devised to investigate detection of change, every trial provides a sample of binary outcomes (e.g., correct vs. incorrect student responses). Participants have to decide whether the proportion of a focal feature (e.g., correct responses) in the population from which the sample is drawn has decreased, remained constant, or increased. Strong and persistent anomalies in change detection arise when changes in proportional quantities vary orthogonally to changes in absolute sample size. Proportional increases are readily detected and nonchanges are erroneously perceived as increases when absolute sample size increases. Conversely, decreasing sample size facilitates the correct detection of proportional decreases and the erroneous perception of nonchanges as decreases. These anomalies are however confined to experienced samples of elementary raw events from which proportions have to be inferred inductively. They disappear when sample proportions are described as percentages in a normalized probability format. To explain these challenging findings, it is essential to understand the inductive-learning constraints imposed on decisions from experience.     

Scalar Implicatures Versus Presuppositions: The View from Acquisition

This paper reports an experimental investigation of presuppositions and scalar implicatures in language acquisition. Recent proposals (Chemla 2009; Romoli 2012, Romoli in J Semant 1–47, 2014) posit the same mechanisms for generating both types of inferences, in contrast to the traditional view. We used a Covered Box picture selection task to compare the interpretations assigned by two groups of children (4/5 and 7 year olds) and by adults, in response to sentences with presuppositions and ones with either ‘direct’ or ‘indirect’ scalar implicatures. The main finding was that the behavior of children and adults differed across inference types. This asymmetry is consistent with the traditional perspective, but poses a challenge for the more recent uniform accounts. We discuss how the latter could be amended to account for these findings, and also relate the findings to previous results on presupposition processing. Finally, we discuss an unexpected difference found between direct and indirect scalar implicatures.     

P300 amplitude variations,prior probabilities,and likelihoods: A Bayesian ERP study

The capability of the human brain for Bayesian inference was assessed by manipulating probabilistic contingencies in an urn-ball task. Event-related potentials (ERPs) were recorded in response to stimuli that differed in their relative frequency of occurrence (.18 to .82). A veraged ERPs with sufficient signal-to-noise ratio (relative frequency of occurrence > .5) were used for further analysis. Research hypotheses about relationships between probabilistic contingencies and ERP amplitude variations were formalized as (in-)equality constrained hypotheses. Conducting Bayesian model comparisons, we found that manipulations of prior probabilities and likelihoods were associated with separately modifiable and distinct ERP responses. P3a amplitudes were sensitive to the degree of prior certainty such that higher prior probabilities were related to larger frontally distributed P3a waves. P3b amplitudes were sensitive to the degree of likelihood certainty such that lower likelihoods were associated with larger parietally distributed P3b waves. These ERP data suggest that these antecedents of Bayesian inference (prior probabilities and likelihoods) are coded by the human brain.     

An argument against global no miracles arguments

Synthese - Howson famously argues that the no-miracles argument, stating that the success of science indicates the approximate truth of scientific theories, is a base rate fallacy: it neglects the...