TYPE A BEHAVIOR AND THE FIVE-FACTOR MODEL OF PERSONALITY

1997 ◽  
Vol 81 (6) ◽  
pp. 368 ◽  
Author(s):  
NERELLA V. RAMANAIAH
1997 ◽  
Vol 80 (1) ◽  
pp. 255-272 ◽  
Author(s):  
Kimberley A. Morrison

Bivariate relationships were examined between scores on the Five-Factor Model of personality and four personality dimensions including Self-monitoring, Locus of Control, Type A Behavior, and Subjective Well-being Data were collected from 307 franchise business owner/managers from four different industries. Scores for Self-monitoring were positively related to those on Extraversion; Self-monitoring was the only personality measure significantly correlated with scores on Openness to Experience. Scores for Type A Behavior, measured by the Jenkins Activity Survey, were negatively correlated with Agreeableness and positively correlated with those for Extraversion. Somewhat surprisingly, the score for Type A Behavior had a relatively low correlation with the score for Conscientiousness. Scores for Subjective Well-being and Locus of Control were most strongly correlated with the positive pole of Neuroticism (Emotional Stability), Conscientiousness, and Extraversion. Possible explanations for the observed relationships are discussed.


2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.


1996 ◽  
Vol 12 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Marco Perugini ◽  
Luigi Leone

The aim of this contribution is to present a new short adjective-based measure of the Five Factor Model (FFM) of personality, the Short Adjectives Checklist of BIg Five (SACBIF). We present the various steps of the construction and the validation of this instrument. First, 50 adjectives were selected with a selection procedure, the “Lining Up Technique” (LUT), specifically used to identify the best factorial markers of the FFM. Then, the factorial structure and the psychometric properties of the SACBIF were investigated. Finally, the SACBIF factorial structure was correlated with some main measures of the FFM to establish its construct validity and with some other personality dimensions to investigate how well these dimensions could be represented in the SACBIF factorial space.


2010 ◽  
Vol 26 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Daniel A. Newman ◽  
Christine A. Limbers ◽  
James W. Varni

The measurement of health-related quality of life (HRQOL) in children has witnessed significant international growth over the past decade in an effort to improve pediatric health and well-being, and to determine the value of health-care services. In order to compare international HRQOL research findings across language groups, it is important to demonstrate factorial invariance, i.e., that the items have an equivalent meaning across the language groups studied. This study examined the factorial invariance of child self-reported HRQOL across English- and Spanish-language groups in a Hispanic population of 2,899 children ages 8–18 utilizing the 23-item PedsQL™ 4.0 Generic Core Scales. Multigroup confirmatory factor analysis (CFA) was performed specifying a five-factor model across language groups. The findings support an equivalent 5-factor structure across English- and Spanish-language groups. Based on these data, it can be concluded that children across the two languages studied interpreted the instrument in a similar manner. The multigroup CFA statistical methods utilized in the present study have important implications for cross-cultural assessment research in children in which different language groups are compared.


2003 ◽  
Vol 15 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Jos I. M. Egger ◽  
Hubert R. A. De Mey ◽  
Jan J. L. Derksen ◽  
Cees P. F. van der Staak

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