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.

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.

Relationship Aspects of Hypnotic Susceptibility

1980 ◽  
Vol 51 (3_suppl2) ◽  
pp. 1032-1034 ◽  
Author(s):  
David P. Fourie
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Correlation Matrix ◽  
Point Of View ◽  
Rater Agreement ◽  
Hypnotic Susceptibility ◽  
The Subject ◽  
Components Analysis ◽  
The Relationship

If hypnosis is seen from an interpersonal point of view it could be hypothesized that aspects of the relationship existing between the hypnotist and the subject prior to hypnosis would probably be related to the subject's susceptibility to the hypnosis. A study was conducted to test this hypothesis. 19 volunteer subjects were individually tested for hypnotic susceptibility using the Stanford Hypnotic Susceptibility Scales, Form A. In each case this was preceded by a short tape-recorded non-directive interview. Four independent raters rated the interviews on 10 behavioral dimensions plus general “hypnotizability,” using seven-point scales. Although the coefficients of inter-rater agreement were generally low, the signs of the correlations between mean ratings and Stanford scores were as predicted in all 11 cases. Three of the correlations were significant. From a principal components analysis on the inter-correlation matrix, three factors emerged of which one was labelled Hypnotic Susceptibility.

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.

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.

Factor Structure of the College Adjustment Scales

2000 ◽  
Vol 86 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Michael H. Campbell ◽  
Shawn T. Prichard
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
College Adjustment ◽  
Correlation Matrix ◽  
College Counseling ◽  
Demographic Characteristics ◽  
Underlying Structure ◽  
Counseling Centers ◽  
Components Analysis ◽  
College Counseling Centers

The present study examined the underlying structure of the College Adjustment Scales via principal components analysis. A correlation matrix of the nine subscales showed significant multicolinearity. A subsequent principal components analysis demonstrated that one factor accounted for 57% of the total variance and that the majority of subscales were moderately correlated with this single factor. The results suggest that the College Adjustment Scales may measure the same underlying construct and that the clinical distinctions implied by subscale scores should be regarded with caution. Conclusions are constrained by sample size and demographic characteristics, but the results suggest the need for further empirical validation of the College Adjustment Scales, which may be useful in college counseling centers.

Reliability and Validity of the Conceptions of Mathematics Questionnaire

1999 ◽  
Vol 85 (2) ◽  
pp. 579-582 ◽  
Author(s):  
Andile Mji
Keyword(s):  
South Africa ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Reliability And Validity ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Mathematics Majors ◽  
Component Solution ◽  
Two Component ◽  
Components Analysis

The article reports reliability and validity of the Conceptions of Mathematics Questionnaires, based on responses of 154 undergraduate mathematics majors from four universities in South Africa. The reliability estimated as internal consistency had a Cronbach alpha of .84. To establish the validity, Principal components analysis with varimax rotation yielded a two-component solution accounting for 44% of variance. The components were interpreted as Fragmented Conceptions and Cohesive Conceptions of mathematics, as in Australia Since the factor solution was comparable to that reported in Australia, this result is a sufficient basis for the use of the questionnaire in South Africa.

Further Considerations of the Multidimensionality and Factor Structure of the Rotter Locus of Control Scale

1987 ◽  
Vol 60 (3_part_2) ◽  
pp. 1059-1062
Author(s):  
Howard N. Anderson ◽  
Stephen Madonna ◽  
Glenda K. Bailey ◽  
Andrea L. Wesley
Keyword(s):  
Locus Of Control ◽  
Principal Components Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Total Variance ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Control Scale ◽  
Two Factors ◽  
Components Analysis

The present study was designed to determine the number and nature of factors involved in Rotter's I-E Scale and to examine the question of the multidimensionality of the scale. Subjects were 329 college undergraduates. Principal components analysis was performed on the 23 pertinent items of the scale, followed by Varimax rotation. Multiple criteria indicated a 10-factor solution which accounted for 61% of the total variance. The first two factors were strongly similar to those reported previously. Results support Rotter's (1975) contention that subclasses within the scale will vary from sample to sample.

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