Treatment effects on count outcomes with non-normal covariates

The effects of a treatment or an intervention on a count outcome are often of interest in applied research. When controlling for additional covariates, a negative binomial regression model is usually applied to estimate conditional expectations of the count outcome. The difference in conditional expectations under treatment and under control is then defined as the (conditional) treatment effect. While traditionally aggregates of these conditional treatment effects (e.g., average treatment effects) are computed by averaging over the empirical distribution, a recently proposed moment-based approach allows for computing aggregate effects as a function of distribution parameters. The moment-based approach makes it possible to control for (latent) multivariate normally distributed covariates and provides more reliable inferences under certain conditions. In this paper we propose three different ways to account for non-normally distributed continuous covariates in this approach: an alternative, known non-normal distribution; a plausible factorization of the joint distribution; and an approximation using finite Gaussian mixtures. A saturated model is used for categorical covariates, making a distributional assumption obsolete. We further extend the moment-based approach to allow for multiple treatment conditions and the computation of conditional effects for categorical covariates. An illustrative example highlighting the key features of our extension is provided.     

The effect of navigation method and visual display on distance perception in a large-scale virtual building

Cognitive Processing - Immersive virtual reality (VR) technology has become a popular method for fundamental and applied spatial cognition research. One challenge researchers face is emulating...     

The need for self-control in achievement tests: Changes in students’ state self-control capacity and effort investment

In the present research, we investigated the relation between changes in students’ state self-control capacity and their motivational test-taking effort over the course of an achievement test. Thereby, we considered trait self-control as a major predictor of achievement-related behavior as a covariate. N?=?1840 apprentices repeatedly rated their state self-control capacity and the test-taking effort they invested while working on a 140-min achievement test in mathematics and science. Using growth curve analyses, our results revealed correlated decreases in state self-control capacity and the test-taking effort invested over the course of the test. Furthermore, we found that trait self-control helped to keep state self-control capacity and test-taking effort at a higher level over the course of the test. Our results support the assumption of the process model of self-control that waning self-control capacity is reflected in reduced motivational effort. Furthermore, our findings provide evidence that self-control might play a crucial role in students’ test-taking behavior in large-scale assessment studies. By modeling changes in state self-control capacity and effort investment while considering trait self-control, we provide an alternative approach for investigating self-control-dependent processes and the underlying mechanisms of self-control in achievement situations.     

Acting Under the Guise of the Bad – Editorial Introduction

I introduce the topic of the Special Issue and highlight the central themes that the six contributors address in their essays. The moral-philosophical problem of the possibility of bad action is situated within the broader context of its action-theoretical significance, that is, as the most important challenge to the influential idea that an intentional action is necessarily performed under the guise of the good. J. David Velleman’s discussion of the character of Milton’s Satan is mentioned to illustrate the Special Issue’s main question of whether instantiations of individual and collective agency are conceivable that deliberately act for the sake of the bad.     

Controlling the “uncontrollable”: Faking effects on the affect misattribution procedure

In two experiments, the impact of faking on the affect misattribution procedure (AMP) was examined. Results revealed that faking influences both the overall means and the convergent validity of AMP effects in terms of correlations with self-report measures. Faking effects were very selective in that they affected fake-prime trials only, for which AMP effects were significant, but reversed in direction, while AMP effects for non-fake trials remained intact. Importantly, neither strategic advice nor prior task experience was a necessary prerequisite for successful faking. The discussion focuses on possible processes underlying successful faking in the AMP.     

Norms of Belief

When in the business of offering an account of the epistemic normativity of belief, one is faced with the following dilemma: strongly externalist norms fail to account for the intuition of justification in radical deception scenarios, while milder norms are incapable to explain what is epistemically wrong with false beliefs. This paper has two main aims; we first look at one way out of the dilemma, defended by Timothy Williamson and Clayton Littlejohn, and argue that it fails. Second, we identify what we take to be the problematic assumption that underlies their account and offer an alternative way out. We put forth a knowledge‐first friendly normative framework for belief which grants justification to radically deceived subjects while at the same time acknowledging that their false beliefs are not epistemically good beliefs.     

Crossing grammar and biology for gender categorisations: investigating the gender congruency effect in generic nouns for animates

In formal gender languages, all nouns have grammatical gender, regardless of whether their referents have a biological sex. The question of whether the grammatical gender affects how the denoted entities are conceptualised is subject to ongoing debate. Here, we investigate the extent to which a gender congruency effect emerges for three categories of nouns, with a particular focus on generic nouns (or epicenes). In two experiments and two replications with native speakers of German, we used an implicit measure to test possible associations of nouns with biological sex. These experiments revealed a stable gender congruency effect for congruent animates, and a weaker effect for generic animates and non-animates. In a fifth experiment, we combined the implicit measure with an explicit measure and contrasted items that have strong versus weak associations with biological sex. The results indicate that the congruency effect is driven by item-specific associations rather than by grammatical gender.     

Assertion: A Function First Account

This paper aims to develop a novel account of the normativity of assertion. Its core thesis is that assertion has an etiological epistemic function, viz. to generate knowledge in hearers. In conjunction with a general account of etiological functions and their normative import, it is argued that an assertion is epistemically good if and only if it has the disposition to generate knowledge in hearers. In addition, reason is provided to believe that it makes sense to regulate the practice of assertion by a speaker rule—and, more specifically, by a knowledge rule—as so regulating assertion contributes to ensuring that assertion fulfils its etiological function reliably.