Understanding Workaholics' Motivations: A Self‐Determination Perspective

In order to explain the diverging well‐being outcomes of workaholism, this study aimed to examine the motivational orientations that may fuel the two main components of workaholism (i.e. working excessively and working compulsively). Drawings on Self‐Determination Theory, both autonomous and controlled motivation were suggested to drive excessive work, which therefore was expected to relate positively to both well‐being (i.e. vigor) and ill‐health (i.e. exhaustion). Compulsive work, in contrast, was hypothesised to originate exclusively out of controlled motivation and therefore to only associate positively with ill‐being. Structural equation modeling in a heterogeneous sample of Belgian white‐collar workers (N= 370) confirmed that autonomous motivation associated positively with excessive work, which then related positively to vigor. Controlled motivation correlated positively with compulsive work, which therefore related positively with exhaustion. The hypothesised path from controlled motivation to exhaustion through excessive work was not corroborated. In general, the findings suggest that primarily compulsive work yields associations with ill‐being, since it may stem from a qualitatively inferior type of motivation.     

Cultivating the Opinionated: The Need to Evaluate Moderates the Relationship Between Crime Drama Viewing and Scary World Evaluations

The literature on cultivation processes assumes that second‐order judgments (e.g., attitudes) are repeatedly updated during viewing (i.e., on‐line) and can be reported when asked. In this article, we propose this reasoning only holds for people high in their need to evaluate (NTE). Low‐NTE individuals do not update their opinions on‐line and have to construct their attitudes memory‐based, limiting the likelihood of finding second‐order relationships. Results from a cross‐sectional survey among 226 adolescents indicate that crime drama viewing and scary world beliefs are only correlated among high‐NTE individuals. NTE does not moderate cultivation through nonfiction. The theoretical implications of memory‐based attitudes for second‐order cultivation are discussed, and suggestions are made for future research on attitudinal media effects.     

Bayesian inference for psychology. Part II: Example applications with JASP

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.     

Countering illegibility: Religion,ethnicity and sexuality in public debates and lived experience in Belgium

In this article, I set out to explore various intersectional social constructions of ethnicity, religion and sexuality. First, I conduct an analysis of recent public controversies in Flanders (Belgium) about women’s and (homo)sexual equality as set against religious authorities and religious-ethnic minorities. It reveals how dominant understandings of ethnicity, sexuality and religion are constructed, reinforced and, if needed, defended. Second, I foreground a critical counter-voice negotiating these what I call ‘ethno-sexular’ boundary constructions. I analyse the lived experiences of Hajar, a volunteer of an antiracist LGBTQI organisation located in Brussels, and argue that because of a dominant ethno-sexular discourse, Hajar’s hybrid identifications and critical voice is made illegible in much of her social environment.     

Retrieving relevant factors with exploratory SEM and principal-covariate regression: A comparison

Behavioral researchers often linearly regress a criterion on multiple predictors, aiming to gain insight into the relations between the criterion and predictors. Obtaining this insight from the ordinary least squares (OLS) regression solution may be troublesome, because OLS regression weights show only the effect of a predictor on top of the effects of other predictors. Moreover, when the number of predictors grows larger, it becomes likely that the predictors will be highly collinear, which makes the regression weights’ estimates unstable (i.e., the “bouncing beta” problem). Among other procedures, dimension-reduction-based methods have been proposed for dealing with these problems. These methods yield insight into the data by reducing the predictors to a smaller number of summarizing variables and regressing the criterion on these summarizing variables. Two promising methods are principal-covariate regression (PCovR) and exploratory structural equation modeling (ESEM). Both simultaneously optimize reduction and prediction, but they are based on different frameworks. The resulting solutions have not yet been compared; it is thus unclear what the strengths and weaknesses are of both methods. In this article, we focus on the extents to which PCovR and ESEM are able to extract the factors that truly underlie the predictor scores and can predict a single criterion. The results of two simulation studies showed that for a typical behavioral dataset, ESEM (using the BIC for model selection) in this regard is successful more often than PCovR. Yet, in 93% of the datasets PCovR performed equally well, and in the case of 48 predictors, 100 observations, and large differences in the strengths of the factors, PCovR even outperformed ESEM.     

Stress, glucocorticoids and liquorice in human pregnancy: programmers of the offspring brain

A suboptimal prenatal environment may induce permanent changes in cells, organs and physiology that alter social, emotional and cognitive functioning, and increase the risk of cardiometabolic and mental disorders in subsequent life ("developmental programming"). Although animal studies have provided a wealth of data on programming and its mechanisms, including on the role of stress and its glucocorticoid mediators, empirical evidence of these mechanisms in humans is still scanty. We review the existing human evidence on the effects of prenatal maternal stress, anxiety and depression, glucocorticoids and intake of liquorice (which inhibits the placental barrier to maternal glucocorticoids) on offspring developmental outcomes including, for instance, alterations in psychophysiological and neurocognitive functioning and mental health. This work lays the foundations for biomarker discovery and affords opportunities for prevention and interventions to ameliorate adverse outcomes in humans.     

Toward understanding why fairness matters: the influence of mortality salience on reactions to procedural fairness

This article focuses on the question of why fairness matters to people. On the basis of fairness heuristic theory, the authors argue that people especially need fairness when they are uncertain about things that are important to them. Following terror management theory, the authors focus on a basic kind of human uncertainty: fear of death. Integrating these two theoretical frameworks, it is proposed that thinking about their mortality should make fairness a more important issue to people. The findings of three experiments support the authors' line of reasoning: Asking participants to think about their mortality led to stronger fair process effects (positive effects of perceived procedural fairness on subsequent reactions) than not asking them to think about mortality. It is argued that these findings suggest that fairness especially matters to people when they are uncertain about fundamental aspects of human life such as human mortality.     

The role of causal discourse structure in narrative writing

All writers produce text content and ideally connect it together according to discourse conventions. We investigate whether a particularly strong discourse convention, the need for causal coherence in narratives, can predict the kind of text writers will produce. Causality has been found to be a significant discourse factor in reading comprehension and hence can be expected to determine also what writers produce during composition. In Experiment 1, writers composed short continuations at various points throughout a simple narrative, whereas in Experiment 2, writers composed continuations to complete several narratives. The results indicate that causality indeed plays a major role in composition. Writers tend to produce new text in such a way that it is causally connected to the prior text. Furthermore, writers favored causal relations of necessity or of necessity and sufficiency while largely avoiding relations of sufficiency alone, which suggests a general discourse constraint to be maximally informative (e.g., Grice, 1975).     

The cascaded nature of lexical selection and integration in auditory sentence processing

An event-related brain potential experiment was carried out to investigate the temporal relationship between lexical selection and the semantic integration in auditory sentence processing. Participants were presented with spoken sentences that ended with a word that was either semantically congruent or anomalous. Information about the moment in which a sentence-final word could uniquely be identified, its isolation point (IP), was compared with the onset of the elicited N400 congruity effect, reflecting semantic integration processing. The results revealed that the onset of the N400 effect occurred prior to the IP of the sentence-final words. Moreover, the factor early or late IP did not affect the onset of the N400. These findings indicate that lexical selection and semantic integration are cascading processes, in that semantic integration processing can start before the acoustic information allows the selection of a unique candidate and seems to be attempted in parallel for multiple candidates that are still compatible with the bottom-up acoustic input.     

On the likelihood ratio test in structural equation modeling when parameters are subject to boundary constraints

The authors show how the use of inequality constraints on parameters in structural equation models may affect the distribution of the likelihood ratio test. Inequality constraints are implicitly used in the testing of commonly applied structural equation models, such as the common factor model, the autoregressive model, and the latent growth curve model, although this is not commonly acknowledged. Such constraints are the result of the null hypothesis in which the parameter value or values are placed on the boundary of the parameter space. For instance, this occurs in testing whether the variance of a growth parameter is significantly different from 0. It is shown that in these cases, the asymptotic distribution of the chi-square difference cannot be treated as that of a central chi-square-distributed random variable with degrees of freedom equal to the number of constraints. The correct distribution for testing 1 or a few parameters at a time is inferred for the 3 structural equation models mentioned above. Subsequently, the authors describe and illustrate the steps that one should take to obtain this distribution. An important message is that using the correct distribution may lead to appreciably greater statistical power.