scholarly journals Simple behavioral criteria for the diagnosis of disorders of arousal

2020 ◽  
Vol 16 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Ariana Barros ◽  
Ginevra Uguccioni ◽  
Victoire Salkin-Goux ◽  
Smaranda Leu-Semenescu ◽  
Pauline Dodet ◽  
...  
Keyword(s):  
Disorders Of Arousal ◽  
Behavioral Criteria

Validation of the Short Dark Triad in a German Sample

2020 ◽  
pp. 1-12
Author(s):  
Caroline Wehner ◽  
Ulrike Maaß ◽  
Marius Leckelt ◽  
Mitja D. Back ◽  
Matthias Ziegler
Keyword(s):  
Sensation Seeking ◽  
Factor Model ◽  
Structural Models ◽  
Self Esteem ◽  
Dark Triad ◽  
Fit Indices ◽  
Nomological Network ◽  
Competitive Test ◽  
Three Factor ◽  
Behavioral Criteria

Abstract. The structure, correlates, and assessment of the Dark Triad are widely discussed in several fields of psychology. Based on the German version of the Short Dark Triad (SDT), we add to this by (a) providing a competitive test of existing structural models, (b) testing the nomological network, and (c) proposing an ultrashort 9-item version of the SDT (uSDT). A sample of N = 969 participants provided data on the SDT and a range of further measures. Our competitive test of five structural models revealed that fit indices and nomological network assumptions were best met in a three-factor model, with separate factors for psychopathy, Machiavellianism, and narcissism. The results provided an extensive overview of the raw, unique, and shared associations of Dark Triad dimensions with narcissism facets, sadism, impulsivity, self-esteem, sensation seeking, the Big Five, maladaptive personality traits, sociosexual orientation, and behavioral criteria. Finally, the uSDT exhibited satisfactory psychometric properties. The highest overlap in expected relations between SDT and uSDT, and convergent and discriminant measures was also found for the three-factor model. Our study underlines the utility of a three-factor model of the Dark Triad, extends findings on its nomological network, and provides an ultrashort instrument.

Polysomnographic features differentiating disorder of arousals from sleep-related hypermotor epilepsy

SLEEP ◽  
2019 ◽  
Author(s):  
Paola Proserpio ◽  
Giuseppe Loddo ◽  
Frederic Zubler ◽  
Luigi Ferini-Strambi ◽  
Laura Licchetta ◽  
...  
Keyword(s):  
Group Analysis ◽  
Definite Diagnosis ◽  
Major Event ◽  
Relative Time ◽  
Discriminative Performance ◽  
Sleep Period ◽  
Distribution Index ◽  
Event Distribution ◽  
Disorders Of Arousal ◽  
Total P

Abstract Objective The differential diagnosis between sleep-related hypermotor epilepsy (SHE) and disorders of arousal (DOA) may be challenging. We analyzed the stage and the relative time of occurrence of parasomnic and epileptic events to test their potential diagnostic accuracy as criteria to discriminate SHE from DOA. Methods Video-polysomnography recordings of 89 patients with a definite diagnosis of DOA (59) or SHE (30) were reviewed to define major or minor events and to analyze their stage and relative time of occurrence. The “event distribution index” was defined on the basis of the occurrence of events during the first versus the second part of sleep period time. A group analysis was performed between DOA and SHE patients to identify candidate predictors and to quantify their discriminative performance. Results The total number of motor events (i.e. major and minor) was significantly lower in DOA (3.2 ± 2.4) than in SHE patients (6.9 ± 8.3; p = 0.03). Episodes occurred mostly during N3 and N2 in DOA and SHE patients, respectively. The occurrence of at least one major event outside N3 was highly suggestive for SHE (p = 2*e-13; accuracy = 0.898, sensitivity = 0.793, specificity = 0.949). The occurrence of at least one minor event during N3 was highly suggestive for DOA (p = 4*e-5; accuracy = 0.73, sensitivity = 0.733, specificity = 0.723). The “event distribution index” was statistically higher in DOA for total (p = 0.012) and major events (p = 0.0026). Conclusion The stage and the relative time of occurrence of minor and major motor manifestations represent useful criteria to discriminate DOA from SHE episodes.

scholarly journals ANÁLISE INTER-RELACIONAL DE INDICADORES DE ABSENTEÍSMO E TURNOVER: O CASO DE UMA INDÚSTRIA TÊXTIL DO LITORAL NORTE DE SANTA CATARINA

2018 ◽  
Vol 7 (1) ◽  
pp. 95-110
Author(s):  
Ana Célia Bohn ◽  
Sidnei Gripa ◽  
Nelson Hein ◽  
Adriana Kroenke
Keyword(s):  
Organizational Behavior ◽  
Single Case ◽  
Santa Catarina ◽  
Organizational Research ◽  
Exploratory Approach ◽  
Proposal A ◽  
Highly Correlated ◽  
Behavioral Criteria ◽  
Do So

Os pesquisadores têm analisado separadamente, os indicadores de absenteísmo e turnover como critérios comportamentais em investigação organizacional. Nesse sentido, observa-se pouca atenção dada à sua possível inter-relação. Este estudo tem como objetivo analisar a inter-relacão dos indicadores de absenteísmo e turnover a fim de entender se há relações envolvidas nesses indicadores. O estudo foi baseado no construto de Migliolli e Kroenke (2016), e recebeu enquanto delineamento metodológico uma pesquisa do tipo quantitativa, longitudinal, em caráter de testagem empírica, de abordagem exploratória, com objeto de estudo um caso único, pautados na conveniência de pesquisa. Para tanto, partiu-se do pressuposto de que a integração desses indicadores pode fornecer orientações sobre alguns comportamentos organizacionais. Para consubstanciar a proposta foi construída uma função sinusóide. Os resultados apontam com algumas exceções que o turnover está altamente correlacionado com o absenteísmo, ou seja, o start para o turnover é o alto índice de absenteísmo. Conclui-se que para a empresa diminuir o seu índice de turnover é preciso primeiro implantar ações para a diminuição do índice de absenteísmo.Palavras-Chave: Absenteísmo. Turnover. Inter-relação. Abstract: Researchers have been analyzing separately the absenteeism indicators and turnover as behavioral criteria in organizational research. In this regard, it is observed the lack of attention given to its possible interrelation. This study aims to analyze the absenteeism indicators interrelation and turnover to understand if there are any associations involved in these indicators. The study was based on Migliolli and Kroenke’s (2016) construct, and while it was a methodological design, received a research of quantitative and longitudinal nature, with empirical and testing aspects, exploratory approach, using a single case as the studying subject, based on the research’s convenience. To do so, it was assumed that the integration of these indicators can provide guidance on some organizational behavior. To substantiate the proposal, a sinusoid function was made. The results point with a few exceptions that the turnover is highly correlated with absenteeism, that is, the start for turnover is the high absenteeism index. So, it is concluded that for the company to decrease its turnover index it is necessary to first implement actions to reduce the absenteeism index.Keywords: Absenteeism. Turnover. Interrelation.

Disorders of arousal in 4 older adult males: evidence from clinical practice

2021 ◽  
Author(s):  
Giuseppe Loddo ◽  
Federica Fragiacomo ◽  
Greta Mainieri ◽  
Susanna Mondini ◽  
Giorgio Buzzi ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Older Adult ◽  
Adult Males ◽  
Disorders Of Arousal

Disorders of Arousal in Children

2008 ◽  
Vol 37 (7) ◽  
pp. 481-487 ◽  
Author(s):  
Bobbi Hopkins ◽  
Daniel Glaze
Keyword(s):  
Disorders Of Arousal

Cognitive Dissonance and the Classification of Consumer Goods

1967 ◽  
Vol 31 (4) ◽  
pp. 28-31 ◽  
Author(s):  
Stanley Kaish
Keyword(s):  
Consumer Behavior ◽  
Cognitive Dissonance ◽  
Consumer Goods ◽  
The Other ◽  
Behavioral Sciences ◽  
Marketing Literature ◽  
Other Hand ◽  
Behavioral Criteria

The theory of cognitive dissonance is one of the recently developed tools that marketing has borrowed from the behavioral sciences to investigate consumer behavior. The classification of goods into convenience, shopping, and specialty categories, on the other hand, is among the most venerable ideas in marketing literature. This article merges the two by using the theory of cognitive dissonance to give a new dimension to the classification of consumer goods. The result is a fresh set of behavioral criteria for classifying goods.

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