Search results for "Hierarchical"
showing 10 items of 260 documents
The Big Five Personality Dimensions, Work-Family Conflict, and Psychological Distress
2005
Abstract. The Big Five personality dimensions were examined as possible risk, resource, vulnerability, or protective factors in the link between work-family conflict and psychological distress. Data were derived for 75 men and 80 women from the Jyväskylä Longitudinal Study of Personality and Social Development (JYLS), in which the NEO Personality Inventory was completed at age 33, and work-family conflict and psychological distress were assessed at age 36. Neuroticism was positively linked to work-to-family conflict (WFC), family-to-work (FWC) conflict, and psychological distress in both genders. Neuroticism was also a moderator strengthening the link between WFC and psychological distress…
PSYCHOLOGY STUDENTS PERSONALITY TRAITS AND MOTIVATION TO CHOOSE STUDIES
2016
The sample consisted of 83 first course academic and professional psychology program students aged 18-43 years. Research instruments: 1) Demographic survey; 2) BFI (Big Five Inventory, Benet – Martinez & John, 1998), adapted version in Latvian (Austers, 2007); 3) The assessment of psychology studies motivation. Key findings: The most important motivating factors for psychology studies in this sample are interest in psychology and the desire to help. Personality traits are related to the choice of profession motives: Agreeableness and Conscientiousness are positively correlated with the desire to help, Extroversion with a sense of capability for the profession, Neuroticism - with a uncer…
Associations between personality, sports participation and athletic success. A comparison of Big Five in sporting and non-sporting adults
2018
Abstract The present study investigates whether the Big Five personality traits are different among diverse sports populations. A sample of 881 male athletes and non-athletes completed a self-report questionnaire measuring their personality traits. The Exploratory Structure Equation Modeling (ESEM) approach is adopted to test measurement invariance and mean differences among groups. The results indicate that athletes who had experienced the most success in their sport scored higher than non-athletes in each personality dimension of the Big Five, with the exception of openness, while less successful athletes scored higher than non-athletes only in extraversion and agreeableness. The more suc…
Examining Mechanisms of Personality Maturation
2012
Individuals are expected to mature with increasing age, but it is not yet fully understood which factors contribute to this maturation process. Using data of a representative sample of Germans ( N = 14,718) who gave information about their Big Five personality traits twice over a period of 4 years, the authors identified satisfaction with life, which was reported yearly, as an important variable for explaining mechanisms and interindividual differences in personality maturation. Dual latent change models suggest that more satisfied (compared to less satisfied) individuals experience more positive changes in Emotional Stability, Agreeableness, and Conscientiousness and that positive changes…
Personality Traits, Partisan Attitudes, and Voting Behavior. Evidence from Germany
2007
Political psychology has paid rather little attention to personality traits when explaining political attitudes and political behavior in mass publics. The present paper argues that personality traits contribute to our understanding of political attitude formation and decision making of ordinary citizens. Based on the Five Factor Model of Personality, we state hypotheses regarding the effects of personality traits on partisan attitudes and vote choice in Germany. We test the hypotheses using survey data obtained from a random sample of the Germans eligible to vote. The evidence confirms that personality traits indirectly affect partisan attitudes and voting behavior in Germany in predictabl…
Personality and Turnout: Results from the Finnish Longitudinal Studies
2011
Scholars in the field of electoral participation have for long been aware that turnout is strongly connected to sociopsychological variables such as religiosity, party identification, political interest and sense of political efficacy. The impact of personality characteristics has remained largely unexplored until recently. Based on the Jyvaskyla Longitudinal Study of Personality and Social Development (JYLS, original N = 369), this article analyses the links between individuals' personality traits and their propensity to vote at ages 36, 42 and 50. The personality traits are measured by using the five-factor model of personality consisting of extraversion, agreeableness, conscientiousness,…
Dynamics of the general factor of personality: A predictor mathematical tool of alcohol misuse
2020
[EN] There are few studies developed about the general factor of personality (GFP) dynamics. This paper uses a dynamical mathematical model, the response model, to predict the short-term effects of a dose of alcohol on GFP and reports the results of an alcohol intake experiment. The GFP dynamical mechanism of change is based on the unique trait personality theory (UTPT). This theory proposes the existence of GFP, which occupies the apex of the hierarchy of personality. An experiment with 37 volunteers was performed. All the participants completed The five-adjective scale of the general factor of personality (GFP-FAS) in trait-format (GFP-T) and state-format (GFP-S) before alcohol consumptio…
Impact of the COVID-19 pandemic on music: a method for clustering sentiments
2021
The outbreak of coronavirus disease 2019 (COVID-19) was highly stressful for people. In general, fear and anxiety about a disease can be overwhelming and cause strong emotions in adults and children. One way to cope with this stress consists in listening to music. Aim of this work is to understand if the music heard during the lock-down reflects the emotions generated by the pandemic on each of us. So, the primary goal of this work is to build two indices for measuring the anger and joy levels of the top streamed songs by Italian Spotify users (during the SARS-CoV-2 pandemic), and study their evolution over time. A Hierarchical Cluster Analysis has been applied in order to identify groups o…
External labeling and algorithms for hierarchic networks
1988
Algorithms for generating internal data structures for networks are given. Data bases for networks can be partitioned hierarchically. Nodes of lower class networks may also be in the interior of a higher class arc which will be split if it is included into the final network. Naming is based either on nodes or on arcs.
An original way to evaluate daily rainfall variability simulated by a regional climate model: the case of South African austral summer rainfall
2014
We discuss the value of a clustering approach as a tool for evaluating daily rainfall output from climate models. Ascendant hierarchical clustering is used to evaluate how well South African recurrent daily rainfall patterns are simulated during the austral summer (December to February 1970–1971 to 1998–1999). A set of 35-km regional climate simulations, run with the WRF model and driven by the ERA40 reanalysis, is chosen as a case study. Six recurrent patterns are identified and compared to the observed clusters obtained by applying the same methodology to 5352 daily rain gauge records. Two of the WRF clusters describe either a persistent and widespread dryness (65% of the days) or pattern…