Interpersonal Lexicon: Structural Evidence from Two Independently Constructed Verb-Based Taxonomies

1999 ◽  
Vol 15 (3) ◽  
pp. 181-195 ◽  
Author(s):  
Boele De Raad
Keyword(s):  
Big Five ◽  
Principal Components ◽  
Interpersonal Behavior ◽  
Interpersonal Circumplex ◽  
Factor Solution ◽  
Peer Ratings ◽  
Interpersonal Factors ◽  
Components Analysis ◽  
Relationship Of ◽  
The Relationship

Summary: In this study the structure of interpersonal behavior is investigated according to the principles of the so-called psycholexical approach. As bases for this study, we used the data from a taxonomy of interpersonal behavior verbs and a subset of data from a taxonomy of interpersonal trait verbs. The interpersonal trait verbs were selected from a set of 543 personality descriptive verbs constructed by De Raad, Mulder, Kloosterman, and Hofstee (1988) . Self- and peer-ratings from 200 subjects on a subset of 303 interpersonal trait verbs were subjected to principal components analysis. The interpersonal behavior verbs taxonomy started with a pool of 986 interpersonal behavior verbs. Two methods were used to arrive at a description of interpersonal structure, the semantic interaction method and the synonymity groups method. Judgmental data were subjected to principal components analyses. In all studies, the main results centered around a two-factor solution, approximately reflecting the axis of the traditional interpersonal circumplex, Dominance and Nurturance. In addition, other factor solutions were used to identify clusters of interpersonal meaning, not present in the traditional circumplex. The relationship of the two interpersonal factors with the Big Five is discussed.

The psycholexical approach to the structure of interpersonal traits

1995 ◽  
Vol 9 (2) ◽  
pp. 89-102 ◽  
Author(s):  
Boele de Raad
Keyword(s):  
Principal Components Analysis ◽  
Big Five ◽  
Principal Components ◽  
Interpersonal Circumplex ◽  
Factor Solution ◽  
Peer Ratings ◽  
Interpersonal Factors ◽  
Components Analysis ◽  
Relationship Of ◽  
The Relationship

In this study the structure of interpersonal behaviour is investigated following the principles of the so‐called psycholexical approach. The interpersonal trait descriptors are selected from a comprehensive set of 1203 trait descriptive adjectives, constructed by Brokken (1978). Self‐ratings and peer ratings (N = 400) on the subset of 454 interpersonal trait adjectives were subjected to Principal Components analysis. The main results centre around a two‐factor solution, approximately reflecting the axis of the traditional interpersonal circumplex, Dominance and Nurturance. The relationship of the two interpersonal factors with the Big Five is discussed, as well as the relationship with the set of traits judged non‐interpersonal.

Personality Trait Absorption: An Exploratory Study of Opportunity and Capacity in Relation to Cannabis Use

1995 ◽  
Vol 15 (1) ◽  
pp. 75-101
Author(s):  
Peter L. Nelson
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Personality Trait ◽  
Exploratory Study ◽  
Cannabis Use ◽  
Components Analysis ◽  
Relationship Of ◽  
The Relationship ◽  
Tellegen Absorption Scale ◽  
Motivation Loss

Although the Tellegen Absorption Scale has been widely employed in recent years as a measure of personality Trait Absorption, it is argued that this simple score does not sufficiently discriminate true capacity for Absorption nor does it reveal the level of opportunity made for absorptive experiencing. This study operationalizes Capacity and Opportunity as two additional subscales appended to the Tellegen scale and, by employing the technique of Principal Components Analysis, five useful sub-dimensions are generated. Following on from this Author's earlier suggestion that personality Trait Absorption may be linked to cannabis use and depression, an exploratory study was conducted into the relationship of cannabis use, gender, self-perceived motivation loss and depression to observed levels of overall Absorption as well as to levels of Capacity and Opportunity for absorptive experiencing.

Anhedonia and Alexithymia: Distinct or Overlapping Constructs

1997 ◽  
Vol 84 (2) ◽  
pp. 415-425 ◽  
Author(s):  
Gwenolé Loas ◽  
Didier Fremaux ◽  
Patrice Boyer
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Correlation Matrix ◽  
Healthy Subjects ◽  
Factor Solution ◽  
Toronto Alexithymia Scale ◽  
Factor Loadings ◽  
Components Analysis ◽  
Physical Anhedonia ◽  
The Relationship

The aim was to examine the relationship between alexithymia, anhedonia, and capacity for displeasure in a group of 133 healthy subjects using principal components analysis. A correlation matrix comprised of items from both the Communication and Identification scale of the 20-item Toronto Alexithymia Scale and the Physical Pleasure-Displeasure Scale yielded a four-factor solution (one Communication-Identification, two Pleasure, and one Displeasure factor) with no overlap of the significant factor loadings for the items from each scale. Moreover, there were no positive significant correlations between the Communication and Identification Scales and the Physical Anhedonia Scale. Our findings support the view that physical anhedonia is a construct distinct and separate from alexithymia.

scholarly journals Las características de los Dinki´s: factores de hedonismo y utilitarismo influyentes en el comportamiento de consumo

2019 ◽  
pp. 7-14
Author(s):  
Cruz Osbaldo Sánchez-Figueroa
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Semantic Differential ◽  
Semantic Differential Scale ◽  
Purchasing Behavior ◽  
Consumption Behavior ◽  
Statistical Program ◽  
Components Analysis ◽  
Relationship Of ◽  
The Relationship

Objective The purpose of the following investigation is to determine the hedonistic and utilitarian characteristics of the Dinki and the relationship with the consumption behavior. Methodology The methodological design was quantitative, exploratory and descriptive studying the Dinki´s lifestyle, from the instrument the degree of hedonism and utilitarianism was studied, performed on 224 individuals with the characteristics of Dinkis (Double income, no children), in the municipalities of Colima and Villa de Álvarez. The instrument consisted of a survey with a semantic differential scale, which evaluates two opposite adjectives to identify hedonism and utilitarianism (Batra and Ahtola, 1991) composed of five statements with four items for hedonism and four items for utilitarianism. The validity was analyzed to determine its consistency using the SPSS statistical program, the quality was considered adequate, the scale had a Cronbach's alpha of α = 0.932. Contribution. A model is proposed to show the relationship of the variables, as well as the data obtained that determine the hedonistic or utilitarian characteristics and their relationship with their purchasing behavior, using a Principal Components Analysis and a regression.

The Relationship of Forest Fires to Agro-Forestry and Socio-Economic Parameters in Portugal

1992 ◽  
Vol 2 (1) ◽  
pp. 37 ◽  
Author(s):  
AMS Ferreira de Almeida ◽  
PVS Vilaça e Moura
Keyword(s):  
Multivariate Analysis ◽  
Principal Components ◽  
Forest Fires ◽  
Fire Prevention ◽  
Starting Point ◽  
Economic Parameters ◽  
Components Analysis ◽  
Relationship Of ◽  
Agro Forestry ◽  
The Relationship

Forest fires are increasing every year in Portugal. Trying to understand more about their causes, we collected available forest fires data, as well as agroforestry and socio-economic parameters considered to be closely related to them, in all the 274 administrative regions (councils). Using multivariate analysis (principal components analysis and classification) we established 8 groups of councils defined by the identity of response of the analysed variables. We were, therefore, able to determine which parameters mainly influenced each group, and that knowledge could be a starting point to fire prevention.

scholarly journals The Relationship of Personality, Emotional Intelligence, and Aggressiveness in Students: A Study Using the Big Five Personality Questionnaire for Children and Adults (BFQ-NA)

2020 ◽  
Vol 11 (1) ◽  
pp. 1-11
Author(s):  
Jose Luis Antoñanzas
Keyword(s):  
Emotional Intelligence ◽  
Secondary Students ◽  
Big Five ◽  
Anger Expression ◽  
Big Five Personality ◽  
Personality Questionnaire ◽  
Bivariate Correlation ◽  
Mood Scale ◽  
Relationship Of ◽  
The Relationship

An analysis of secondary students’ personality traits, along with a description of their emotional intelligence levels and their anger control, could be decisive when educating students to prevent anti-social behavior in academia. Very few studies on personality, emotional intelligence, and aggressive conduct exist in Spain. Some of the studies that do exist, however, only explore the relationship between emotional intelligence, personality, and prosocial behavior in secondary education students. Likewise, there are few studies focusing on personality and aggression control. In this study, using the Big Five personality models as predictors of aggressiveness in subjects and of emotional intelligence, we sought to contribute to the improvement of the education of students on aggressive behavior in education centers. To do this, we conducted a study using the Big Five Personality Questionnaire (BFQ) for Children and Adults (BFQ-NA), the Trait Meta-Mood Scale (TMMS-24) emotional intelligence test, and the State–Trait Anger Expression Inventory (STAXI) anger management test. Our main objective was to analyze the relationship of the BFQ with the variables of emotional intelligence and aggressiveness. This was achieved using a range of bivariate correlation and multiple regression tests. The results showed the correlation and predictive value of emotional intelligence and aggression in the Big Five model of personality. This study coincides with other research linking Big Five questionnaires with emotional intelligence and aggression.

Face Recognition Algorithm Based on Kernel Collaborative Representation

2013 ◽  
Vol 756-759 ◽  
pp. 3590-3595
Author(s):  
Liang Zhang ◽  
Ji Wen Dong
Keyword(s):  
Face Recognition ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Recognition Algorithm ◽  
Experimental Results ◽  
Collaborative Representation ◽  
Nonlinear Structures ◽  
Components Analysis ◽  
Kernel Principal Components Analysis ◽  
The Relationship

Aiming at solving the problems of occlusion and illumination in face recognition, a new method of face recognition based on Kernel Principal Components Analysis (KPCA) and Collaborative Representation Classifier (CRC) is developed. The KPCA can obtain effective discriminative information and reduce the feature dimensions by extracting faces nonlinear structures features, the decisive factor. Considering the collaboration among the samples, the CRC which synthetically consider the relationship among samples is used. Experimental results demonstrate that the algorithm obtains good recognition rates and also improves the efficiency. The KCRC algorithm can effectively solve the problem of illumination and occlusion in face recognition.

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