Weather conditions and daily television use in the Netherlands, 1996–2005

This study examines the impact of daily atmospheric weather conditions on daily television use in the Netherlands for the period 1996–2005. The effects of the weather parameters are considered in the context of mood and mood management theory. It is proposed that inclement and uncomfortable weather conditions are associated with lower human mood, and that watching entertainment and avoiding informational programs may serve to repair such mood. We consequently hypothesize that people spend more time watching television if inclement and uncomfortable weather conditions (low temperatures, little sunshine, much precipitation, high wind velocity, less daylight) coincide with more airtime for entertainment programs, but that they view less if the same weather conditions coincide with more airtime devoted to information fare. We put this interaction thesis to a test using a time series analysis of daily television viewing data of the Dutch audience obtained from telemeters (T = 3,653), merged with meteorological weather station statistics and program broadcast figures, whilst controlling for a wide array of recurrent and one-time societal events. The results provide substantial support for the proposed interaction of program airtime and the weather parameters temperature and sunshine on aggregate television viewing time. Implications of the findings are discussed

Future directions in personality, occupational and medical selection: myths, misunderstandings, measurement, and suggestions

This paper has two objectives: (1) presenting recent advances in the personality field concerning the conceptualization of personality arising from the dynamic interactions of behaviour, biology, context, and states, and (2) discussing the implications of these developments for medical selection. We start by presenting evidence that traits are not longer regarded as deterministic and stable. Instead, they are found to change across generations, the life span, and in response to environmental contingencies. Next, drawing on recent research (behavioural reaction norms and the density distribution model) we posit how the expression of trait relevant behaviour changes depending on the situation, such that personality reflects both stability and plasticity across situations. Thus there is an urgent need to explore how traits change as function of medical education. Third, we demystify that some traits are better than others showing that so-called “good” traits have a dark-side. Fourth, we show how these developments impact on how personality might be assessed, thereby presenting recent evidence on the use of contextualized personality measures, Situational Judgment Tests, other reports, and implicit measures. Throughout the paper, we outline the key implications of these developments for medical selection practices

Mood and the Market: Can Press Reports of Investors’ Mood Predict Stock Prices?

We examined whether press reports on the collective mood of investors can predict changes in stock prices. We collected data on the use of emotion words in newspaper reports on traders’ affect, coded these emotion words according to their location on an affective circumplex in terms of pleasantness and activation level, and created indices of collective mood for each trading day. Then, by using time series analyses, we examined whether these mood indices, depicting investors’ emotion on a given trading day, could predict the next day’s opening price of the stock market. The strongest findings showed that activated pleasant mood predicted increases in NASDAQ prices, while activated unpleasant mood predicted decreases in NASDAQ prices. We conclude that both valence and activation levels of collective mood are important in predicting trend continuation in stock prices

Combining Factors from Different Factor Analyses Based on Factor Congruence

While factor analysis is one of the most often used techniques in psychometrics, comparing or combining solutions from different factor analyses can be cumbersome even though it is necessary in several situations. For example, when applying multiple imputation (to account for incompleteness) or multiple outputation (which can be used to deal with clustering in multilevel data) often tens or hundreds of results have to be combined into one final solution. While different solutions have been in use, we propose a simple and easy to implement solution to match factors from different analyses based on factor congruence. To demonstrate this method, the Big Five Inventory data collected under the auspices of the Divorce in Flanders study was analysed combining multiple outputation and factor analysis. This multilevel sample consists of 7533 individuals coming from 4460 families with about 10% of missing values.status: publishe

Longitudinal Experience-Wide Association Studies—A Framework for Studying Personality Change

The importance of personality for predicting life outcomes in the domains of love, work, and health is well established, as is evidence that personality traits, while relatively stable, can change. However, little is known about the sources and processes that drive changes in personality traits and how such changes might impact important life outcomes. In this paper, we make the case that the research paradigms and methodological approaches commonly used in personality psychology need to be revised to advance our understanding of the sources and processes of personality change. We propose Longitudinal Experience-Wide Association Studies as a framework for studying personality change that can address the limitations of current methods, and we discuss strategies for overcoming some of the challenges associated with Longitudinal Experience-Wide Association Studies. © 2020 European Association of Personality Psychology

Cognitive distortions and self-regulatory personality traits associated with proactive and reactive aggression in early adolescence

Contains fulltext : 102379.pdf (publisher's version ) (Open Access)This study investigated mechanisms behind proactive and reactive aggression, by examining whether four types of self-serving cognitive distortions and the personality traits agreeableness and conscientiousness differently predicted proactive and reactive aggression. Self-report questionnaires and a peer nominations method were administered to 173 sixth grade children (age 10-13) of regular elementary schools in the Netherlands. Negative binomial regression analyses showed that proactive aggression was predicted by self-centered and disagreeable tendencies, whereas reactive aggression was predicted by the misattribution of blame to others and the self-regulatory aspects of agreeableness and conscientiousness. Findings emphasize the need to differentiate proactive and reactive aggression in order to accurately predict, prevent and treat aggressive behaviors in childhood.12 p