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.

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.

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.

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.

Relationship of Religiosity to Death Anxiety of Middle-Aged Males

1984 ◽  
Vol 54 (3) ◽  
pp. 811-822 ◽  
Author(s):  
Ann M. Downey
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Death Anxiety ◽  
Control Variable ◽  
Fear Of Death ◽  
Curvilinear Relationship ◽  
Middle Aged ◽  
Probability Sample ◽  
Components Analysis ◽  
Relationship Of

The purpose of this study was to determine how religiosity was related to death anxiety among a group of middle-aged men. A non-probability sample of 237 male volunteers between the ages of 40 and 59 yr. of whom 88.7% were engaged in professional occupations completed a questionnaire composed of various research instruments. A single composite score for religiosity was obtained through a principal-components analysis of 13 items selected, adjusted, and compiled by Downey (1980) from various religiosity scales. Boyar's Fear of Death Scale assessed death anxiety, while “experience of death” was measured by three items and was utilized as a control variable in determining the association between religiosity and death anxiety. Analysis indicated that “experience of death” or the amount of contact the male has had with death was not related to death anxiety. Data did not support the prediction that those males who were less religious would exhibit higher scores on death anxiety than would those men who were more religious. Further analyses demonstrated a curvilinear relationship between religiosity and death anxiety. The middle-aged men who were moderately religious evidenced a significantly higher fear of death than the men who were either low or high in religiosity.

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.

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