Iven Van Mechelen

The Appraisal Basis of Anger: Specificity, Necessity, and Sufficiency of Components

The nature of the association between anger and 5 appraisal-action tendency components--goal obstacle, other accountability, unfairness, control, and antagonism--was examined in terms of specificity, necessity, and sufficiency. In 2 studies, participants described recently experienced unpleasant situations in which 1 of the appraisal-action tendency components was present or absent and indicated which emotions they had experienced. The results showed that (a) other accountability and arrogant entitlement, as an instance of unfairness, are specific appraisals ability for anger; and most important, (b) none of the components is necessary or sufficient for anger. The findings suggest that the relation between emotions and appraisal-action tendency components should be conceptualized instead as a contingent association, meaning that they usually co-occur.

Two-mode clustering methods: a structured overview.

In this paper we present a structured overview of methods for two-mode clustering, that is, methods that provide a simultaneous clustering of the rows and columns of a rectangular data matrix. Key structuring principles include the nature of row, column and data clusters and the type of model structure or associated loss function. We illustrate with analyses of symptom data on archetypal psychiatric patients.

Using Ribosomal Protein Genes as Reference: A Tale of Caution

Background Housekeeping genes are needed in every tissue as their expression is required for survival, integrity or duplication of every cell. Housekeeping genes commonly have been used as reference genes to normalize gene expression data, the underlying assumption being that they are expressed in every cell type at approximately the same level. Often, the terms “reference genes” and “housekeeping genes” are used interchangeably. In this paper, we would like to distinguish between these terms. Consensus is growing that housekeeping genes which have traditionally been used to normalize gene expression data are not good reference genes. Recently, ribosomal protein genes have been suggested as reference genes based on a meta-analysis of publicly available microarray data. Methodology/Principal Findings We have applied several statistical tools on a dataset of 70 microarrays representing 22 different tissues, to assess and visualize expression stability of ribosomal protein genes. We confirmed the housekeeping status of these genes, but further estimated expression stability across tissues in order to assess their potential as reference genes. One- and two-way ANOVA revealed that all ribosomal protein genes have significant expression variation across tissues and exhibit tissue-dependent expression behavior as a group. Via multidimensional unfolding analysis, we visualized this tissue-dependency. In addition, we explored mechanisms that may cause tissue dependent effects of individual ribosomal protein genes. Conclusions/Significance Here we provide statistical and biological evidence that ribosomal protein genes exhibit important tissue-dependent variation in mRNA expression. Though these genes are most stably expressed of all investigated genes in a meta-analysis they cannot be considered true reference genes.

Predicting the duration of emotional experience: Two experience sampling studies.

The authors present 2 studies to explain the variability in the duration of emotional experience. Participants were asked to report the duration of their fear, anger, joy, gratitude, and sadness episodes on a daily basis. Information was further collected with regard to potential predictor variables at 3 levels: trait predictors, episode predictors, and moment predictors. Discrete-time survival analyses revealed that, for all 5 emotions under study, the higher the importance of the emotion-eliciting situation and the higher the intensity of the emotion at onset, the longer the emotional experience lasts. Moreover, a reappearance, either physically or merely mentally, of the eliciting stimulus during the emotional episode extended the duration of the emotional experience as well. These findings display interesting links with predictions within N. H. Frijdas theory of emotion, with the phenomenon of reinstatement (as studied within the domain of learning psychology), and with the literature on rumination.

Individual differences in patterns of appraisal and anger experience

The aim of the present study was to identify and account for individual differences in the contextual experience of anger and its appraisals and in the associations between both. Participants (N=832) engaged in a directed imagery task of descriptions of unpleasant situations and reported on their appraisal and anger experience. Additionally, they filled out several dispositional questionnaires. The results demonstrated that at the basis of the experience of anger lies an externally induced disadvantage, which for many people elicits frustration. For some individuals, the latter is sufficient for becoming angered. Yet, for others, the thwarting has to be characterised by norm violation and has to be appraised as unfair and deliberate in order for them to experience anger. Individuals also differed as to whether threat to self-esteem was experienced along with frustration in situations that involved negative evaluative self-relevant information. Combined, the findings demonstrated that anger can occur in combination with different patterns of appraisals, varying as a function of situation and person characteristics.

Every Cloud Has a Silver Lining: Interpersonal and Individual Differences Determinants of Anger-Related Behaviors:

Two studies examined the effect of status and liking of the anger target on anger behavior and individual differences in angerrelated behavior. Participants recalled anger instances in which the anger target was of higher/equal/lower status and/or liked/ unfamiliar/disliked; subsequently, they indicated which behaviors they had displayed. In both studies, anger behaviors could be grouped into behaviors that imply approaching the target (anger-out, assertion, reconciliation) and behaviors that reflect avoidance/anger-in or social sharing. The results demonstrated that approach behaviors more likely occur toward lower status or liked targets; avoidance behaviors and social sharing more likely occur when the target is of higher status or disliked. On an individual differences level, an approach and an avoid/social sharing person class were identified. The findings suggest that anger may motivate prosocial behavior or social sharing, depending on the individual and type of relation with the target. Only few gender differences were found.

The relation between event processing and the duration of emotional experience.

An emotional experience can last for only a couple of seconds up to several hours or even longer. In the present study, we examine to which extent covert intrapersonal actions (cognitions both related and unrelated to the emotion-eliciting stimulus) as well as overt interpersonal actions (social sharing) account for this variability in emotion duration. Participants were asked to report the duration of their anger, sadness, joy, and gratitude episodes on a daily basis during five days. Furthermore, information was collected with regard to their cognitions during the episodes and their social sharing behavior. Discrete-time survival analyses revealed that for three of the four emotions under study, stimulus-related cognitions with the same valence as the emotion lead to a prolongation of the episode; in contrast, both stimulus-related and stimulus-unrelated cognitions with a valence opposite to the emotion lead to a shortening. Finally, for the four emotions under study, social sharing was associated with a prolongation. The findings are discussed in terms of a possible process basis underlying the time dynamics of negative as well as positive emotions.

A structured overview of simultaneous component based data integration

BackgroundData integration is currently one of the main challenges in the biomedical sciences. Often different pieces of information are gathered on the same set of entities (e.g., tissues, culture samples, biomolecules) with the different pieces stemming, for example, from different measurement techniques. This implies that more and more data appear that consist of two or more data arrays that have a shared mode. An integrative analysis of such coupled data should be based on a simultaneous analysis of all data arrays. In this respect, the family of simultaneous component methods (e.g., SUM-PCA, unrestricted PCovR, MFA, STATIS, and SCA-P) is a natural choice. Yet, different simultaneous component methods may lead to quite different results.ResultsWe offer a structured overview of simultaneous component methods that frames them in a principal components setting such that both the common core of the methods and the specific elements with regard to which they differ are highlighted. An overview of principles is given that may guide the data analyst in choosing an appropriate simultaneous component method. Several theoretical and practical issues are illustrated with an empirical example on metabolomics data for Escherichia coli as obtained with different analytical chemical measurement methods.ConclusionOf the aspects in which the simultaneous component methods differ, pre-processing and weighting are consequential. Especially, the type of weighting of the different matrices is essential for simultaneous component analysis. These types are shown to be linked to different specifications of the idea of a fair integration of the different coupled arrays.

The Conjunctive Model of Hierarchical Classes.

This paper describes the conjunctive counterpart of De Boeck and Rosenbergs hierarchical classes model. Both the original model and its conjunctive counterpart represent the set-theoretical structure of a two-way two-mode binary matrix. However, unlike the original model, the new model represents the row-column association as a conjunctive function of a set of hypothetical binary variables. The conjunctive nature of the new model further implies that it may represent some conjunctive higher order dependencies among rows and columns. The substantive significance of the conjunctive model is illustrated with empirical applications. Finally, it is shown how conjunctive and disjunctive hierarchical classes models relate to Galois lattices, and how hierarchical classes analysis can be useful to construct lattice models of empirical data.

Interactional appraisal models for the anger appraisals of threatened self-esteem, other-blame, and frustration

Starting from the interactional assumption of appraisal theories, the present study aimed to identify situation-specific individual differences and their personality correlates for the anger-relevant appraisals of threat to self-esteem, other-blame, and frustration. Participants engaged in a directed imagery task of descriptions of unpleasant situations after which they reported on the appraisals, and were administered measures of potentially relevant dispositional characteristics. The results demonstrated situation-specific individual differences in threatened self-esteem and other-blame, which showed differential relationships with dispositional variables. Threat to self-esteem was related to an unstable self-esteem, neuroticism, and BIS sensitivity in unpleasant evaluative situations, whereas it was related to feeling lowlily valued by others in non-evaluative situations. Other-blame was found to be related to an unstable self-esteem, BIS sensitivity, and neuroticism when someone else is responsible, whereas it was related to interpersonal distrust and low perceived social esteem when oneself or the circumstances are responsible. Individual differences in frustration were found to generalise across contexts, and were primarily related to BIS sensitivity.