The structure of situations from a personality perspective

2002 ◽  
Vol 16 (2) ◽  
pp. 81-102 ◽  
Author(s):  
Maaike A. ten Berge ◽  
Boele De Raad
Keyword(s):  
Principal Components Analysis ◽  
Big Five ◽  
Principal Components ◽  
Interpersonal Conflict ◽  
Present Situation ◽  
Personality Questionnaire ◽  
Social Demand ◽  
Self And Other ◽  
Five Factors ◽  
Components Analysis

A taxonomy of situations was constructed that categorizes situations by means of ratings of one's ability to deal with those situations. A principal components analysis of self‐ and other‐ratings yielded four components of situations: I, situations of pleasure; II, situations of individual adversity; III, situations of interpersonal conflict; and IV, situations of social demand. Ratings of being able to deal with a situation were related to ratings on a personality questionnaire. This resulted in a very clear set of situations for each of the Big Five factors of personality. The Big Five differed in kind and in number of situations for which they were able to distinguish the well handling from the less well handling persons. Especially, it turned out that the so‐called temperament‐factors, Extraversion, Emotional Stability, and also Autonomy, give rise to more situational differentiation than the so‐called character‐factors, Agreeableness and Conscientiousness. Comparing the present situation structure to that obtained in an earlier study, we found that using the same set of situations does not guarantee obtaining the same set of situation components. Different methods of classification yield differences in the resulting classifications. Copyright © 2002 John Wiley & Sons, Ltd.

Big-Five Adjective Marker Scales for Use with College Students

1995 ◽  
Vol 77 (1) ◽  
pp. 160-162 ◽  
Author(s):  
Ralph L. Piedmont
Keyword(s):  
College Students ◽  
Principal Components Analysis ◽  
Big Five ◽  
Principal Components ◽  
Factor Model ◽  
Five Factor Model ◽  
Procrustes Rotation ◽  
College Sample ◽  
Five Factors ◽  
Components Analysis

This report evaluated the psychometric integrity of an 80-item bipolar adjective scale which assesses the dimensions of the five-factor model of personality. Using a college sample of 149 women and 30 men, a principal components analysis employing an orthogonal Procrustes rotation identified the five factors which were comparable to factor structures found with adults. Researchers can therefore have some confidence in using these marker scales with college students.

Relationships among Originality, Intelligence, Scholastic Achievement, and Scholastic Ability Measures

1965 ◽  
Vol 17 (3) ◽  
pp. 943-954 ◽  
Author(s):  
Rio Sciortino
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Male Students ◽  
Scholastic Achievement ◽  
Vocabulary Test ◽  
Verbal Intelligence ◽  
Five Factors ◽  
Components Analysis

A principal components analysis was performed on the scores obtained from a vocabulary test, the GPA, the OSPE and the four subscores of a Solutions Test, adaptiveness, inventiveness, relevance, and quantity ( N = 92 undergraduate male students). Kaiser's normal varimax procedure yielded the following five factors: adaptiveness, verbal intelligence, inventiveness, general scholastic achievement, and verbal scholastic ability. Another principal components analysis was performed on the scores obtained from a vocabulary test, the GPA, the OSPE and the four subscores of an Interpretations Test, denotativeness, connotativeness, appropriateness, and quantity ( N = 95 undergraduate males). Kaiser's normal varimax procedure yielded the following five factors: denotativeness, verbal intelligence, connotativeness, general scholastic achievement, and verbal scholastic ability.

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.

Development of a Short-Form Conservatism Scale Suitable for Mail Surveys

1993 ◽  
Vol 72 (2) ◽  
pp. 419-422 ◽  
Author(s):  
David M. Collins ◽  
Peter F. Hayes
Keyword(s):  
Principal Components Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Short Form ◽  
Coefficient Alpha ◽  
Varimax Rotation ◽  
Mail Surveys ◽  
Five Factors ◽  
Components Analysis

Analysis of data from 255 U.S. pharmacists provides support for the consistency and validity of this short-form conservatism scale. The scale returned a coefficient alpha of 0.82, and principal components analysis yielded a strong general conservatism factor. Varimax rotation produced five factors consistent with the factor structure of the original Conservatism Scale.

Factor Structure of the Short Form Measure of Self-Actualization in a Black Sample

1991 ◽  
Vol 69 (3) ◽  
pp. 871-877 ◽  
Author(s):  
Raymond K. Tucker ◽  
Ronnie Dyson
Keyword(s):  
Principal Components Analysis ◽  
Ethnic Groups ◽  
Factor Structure ◽  
Principal Components ◽  
Short Form ◽  
Varimax Rotation ◽  
Five Factors ◽  
Self Actualization ◽  
Components Analysis ◽  
Black Sample

The present study sought to assess the factor invariance of Jones and Crandall's short form measure of self-actualization on a sample of 213 black undergraduates. A principal components analysis followed by a varimax rotation yielded five factors, four of which were interpretable. The obtained structure essentially replicated that of Jones and Crandall; however, there were differences that indicate the test cannot be assumed to be invariant across ethnic groups.

Psycholexical Value Factors in Spain and Their Relation with Personality Traits

2012 ◽  
Vol 26 (6) ◽  
pp. 551-565 ◽  
Author(s):  
Fabia Morales–Vives ◽  
Boele De Raad ◽  
Andreu Vigil–Colet
Keyword(s):  
Personality Traits ◽  
Principal Components Analysis ◽  
Big Five ◽  
Principal Components ◽  
Big Five Personality Traits ◽  
Social Recognition ◽  
Spanish Population ◽  
Big Five Personality ◽  
Components Analysis

The aim of the present study is to determine the structure of values in the Spanish population and its relation to the Big Five personality traits. Using a psycholexical approach, 566 words were identified as values and administered to a sample of participants who were instructed to rate the extent to which they were guided by each value. Principal components analysis revealed seven factors: Social Recognition, Competence, Love and Happiness, Benevolence, Idealism, Equilibrium and Family. The results show that there is no complete equivalence between these factors and those obtained in previous studies. However, the results are congruent with those obtained in other studies as far as the relation between values and personality traits is concerned. Copyright © 2011 John Wiley & Sons, Ltd.

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

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