Relationship between Personality Traits and Vocational Choice

2009 ◽  
Vol 105 (2) ◽  
pp. 633-642 ◽  
Author(s):  
Manuel Garcia-Sedeñto ◽  
Jose I. Navarro ◽  
Inmaculada Menacho
Keyword(s):  
Personality Traits ◽  
Hierarchical Cluster ◽  
Personality Factor ◽  
Personality Profiles ◽  
First Order ◽  
Sixteen Personality Factor ◽  
Professional Interest ◽  
Study Participants ◽  
Age Range ◽  
The Relationship

The relationship between occupational preferences and personality traits was examined. A randomly chosen sample of 735 students (age range = 17 to 23 years; 50.5% male) in their last year of high school participated in this study. Participants completed Cattell's Sixteen Personality Factor–5 Questionnaire (16PF–5 Questionnaire) and the Kuder–C Professional Tendencies Questionnaire. Initial hierarchical cluster analysis categorized the participants into two groups by Kuder–C vocational factors: one showed a predilection for scientific or technological careers and the other a bias toward the humanities and social sciences. Based on these groupings, differences in 16PF–5 personality traits were analyzed and differences associated with three first-order personality traits (warmth, dominance, and sensitivity), three second-order factors (extraversion, control, and independence), and some areas of professional interest (mechanical, arithmetical, artistic, persuasive, and welfare) were identified. The data indicated that there was congruency between personality profiles and vocational interests.

Personality Correlates of a Test of Honesty

1986 ◽  
Vol 59 (2) ◽  
pp. 1015-1018 ◽  
Author(s):  
Thomas G. Logan ◽  
Robert C. Koettel ◽  
Robert W. Moore
Keyword(s):  
Construct Validity ◽  
Personality Traits ◽  
Phase Ii ◽  
Emotional Stability ◽  
Personality Factor ◽  
Sixteen Personality Factor Questionnaire ◽  
Sixteen Personality Factor ◽  
Personality Correlates ◽  
Personality Factor Questionnaire ◽  
The Relationship

The goal of this study is to assess the construct validity of a preemployment test of honesty, the Phase II Profile, in relation to the personality traits measured by the Sixteen Personality Factor Questionnaire. Of the four predetermined criteria, only the relationship to emotional stability was significant. Two of the 12 relationships expected to be nonsignificant were significant. The correlations obtained in this study and in two others were so low that the construct validity for the tests of honesty in relation to the chosen personality traits could not be confirmed.

scholarly journals Investigating University Characteristics on Personality Traits

2021 ◽  
Vol 9 (1) ◽  
pp. 58-64
Author(s):  
Kullanun Sripongpun ◽  
Nattanan Saksamrit ◽  
Watcharapong Intarawong ◽  
Pattama Suriyakul Na Ayudhya
Keyword(s):  
Factor Analysis ◽  
Personality Traits ◽  
Exploratory Factor Analysis ◽  
Undergraduate Students ◽  
Brand Personality ◽  
Jel Classification ◽  
Student Perspective ◽  
Personality Factor ◽  
The University ◽  
Study Participants

Objective - This study aims to extend the brand personality concept by applying this concept to the organization, i.e., the university. Methodology/Technique – A questionnaire was designed based on Aaker (1997)’s 5 dimensions of brand personality scale to collect the data. 400 Thai undergraduate students of Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus participated in this study. Participants were first informed of the study description and instructed to think of a university as if it were a person and to rate on a five-point scale (1 = not at all descriptive, 5 = extremely descriptive). In the data analysis, descriptive statistics (mean and standard deviation) and exploratory factor analysis (EFA) were used. Finding – The results from the exploratory factor analysis (EFA) with a varimax rotation showed 5 factors of university personality. Factor 1 represents competence dimension having 10 items (successful, leader, technical, corporate, cool, hardworking, secure, spirited, confident and reliable). Factor 2 represents sophistication dimension which had 4 items (glamorous, good looking, smooth and upper class). Factor 3 represents ruggedness dimension which had 5 items (western, tough, masculine, rugged and outdoorsy). Factor 4 represents sincerity dimension which had 2 items (honest and sincere). The last factor was excitement dimension which had only 1 item, imaginative. Furthermore, according to student perspective, the majority of university personality dimensions of Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus was ruggedness dimension. Novelty – Research examining the dimensions of organization personality is still scant. To fill the gap, the current study was conducted to demonstrate how the brand personality concept was applicable when the organization was viewed as a brand. Therefore, it is a preliminary step toward such direction to extend and apply the brand personality concept to a new different area. Type of Paper: Empirical. JEL Classification: M10, M19. Keywords: University Personality; University Characteristics; Personality Traits; Brand Personality Concept. Reference to this paper should be made as follows: Sripongpun, K; Saksamrit, N; Intarawong, W; Ayudhya, P.S.N. (2021). Investigating University Characteristics on Personality Traits, GATR Global J. Bus. Soc. Sci. Review, 9(1): 58 – 64. https://doi.org/10.35609/gjbssr.2021.9.1(7)

scholarly journals The relationship between personality traits and vocational interests

2002 ◽  
Vol 28 (1) ◽  
Author(s):  
Gideon P. De Bruin
Keyword(s):  
Personality Traits ◽  
Creative Thinking ◽  
Social Contact ◽  
Vocational Interests ◽  
Career Counselling ◽  
Personality Factor ◽  
The Arts ◽  
Personality Factor Questionnaire ◽  
The Relationship ◽  
Extension Analysis

This This study examined the relationship between vocational interests and basic personality traits. The interest fields of the 19-Field-Interest Inventory were related to the second order factors of the 16 Personality Factor Questionnaire by means of a factor extension analysis. The results showed that extroverts tend to be interested in fields related to social contact and the influencing of other people. Emotionally sensitive individuals tend to be interested in the arts and languages. Independent individuals tend to be interested in creative thinking. The implications of the findings for career counselling are discussed. Opsomming Hierdie studie het ondersoek ingestel na die verband tussen beroepsbelangstellings en basiese persoonlikheidstrekke. Die 19 belangstellingsvelde van die 19-Veld-belangstellings-vraelys is aan die hand van ’n faktorverlengingsontleding met die tweede orde faktore van die 16-Persoonlikheids-faktorvraelys in verband gebring. Die resultate dui daarop dat ekstroverte geneig is omin veldewat sosiale kontak en die beinvloeding vanmense behels, belang te stel. Emosioneel sensitiewe individue is geneig om in kunssinnge en taal verwante velde belang te stel. Onafhanklike individue is geneig om in kreatiewe denke belang te stel. Die implikasies van die resultate vir loopbaanvoorligting word bespreek.

Personality Characteristics of Women Scientists

1972 ◽  
Vol 31 (2) ◽  
pp. 391-396 ◽  
Author(s):  
Louise M. Bachtold ◽  
Emmy E. Werner
Keyword(s):  
General Population ◽  
Women Scientists ◽  
Personality Characteristics ◽  
Personality Factor ◽  
Personality Profiles ◽  
Sixteen Personality Factor Questionnaire ◽  
Men And Women ◽  
Strong Similarity ◽  
Sixteen Personality Factor ◽  
Personality Factor Questionnaire

Women biologists and chemists listed in Who's Who in America and Who's Who of American Women ( N:146) were studied with the Sixteen Personality Factor Questionnaire (16 PF). As a group, women scientists were found to be more serious, radical, confident, dominant, intelligent, and adventurous than women in the general population, and less sociable, group-dependent, and sensitive. Personality profiles on the 16 PF of men and women scientists showed strong similarity ( p < .01).

scholarly journals Music Preference Dimensions and Personality Traits Among University Students

2021 ◽  
Vol 36 (3) ◽  
pp. 357-373
Author(s):  
Summaira Naz ◽  
Anila Kamal ◽  
Mussarat Jabeen Khan ◽  
Humaira Bibi
Keyword(s):  
Personality Traits ◽  
Negative Relationship ◽  
Positive Association ◽  
Openness To Experience ◽  
Music Preference ◽  
Preference Scale ◽  
Short Test ◽  
Three Stages ◽  
Age Range ◽  
The Relationship

The present study explored the relationship between music reference dimensions and personality trait. This study comprised of three stages. In Stage-I, adaptation of Short Test of Music Preference Scale (STOMP; Rentfrow & Gosling, 2003) was done. In Stage-II the psychometric properties of adapted STOMP Scale and NEO-PI-R (Costa & McCrea, 1992) were determined on a sample of 60 students (20-25 years). Stage-III involved measuring the relationship between music preference dimensions and personality traits on sample of 250 students age range of 20-25 years. Results revealed that extraversion, openness to experience, and agreeableness showed positive association with intense and rebellious music, upbeat and conventional music, and reflective and complex music. Whereas extraversion and openness to experience was negatively associated with energetic and rhythmic music. Additionally, neuroticism was negatively related with reflective and complex music, and agreeableness has negative relation with intense and rebellious music. Conscientiousness has negative relationship with reflective and complex, intense and rebellious, and upbeat and conventional; while exhibited positive relationship with energetic and rhythmic music. Future implications of the study were also discussed.

Personality Characteristics of Female Psychology, Science and Art Majors

1972 ◽  
Vol 31 (3) ◽  
pp. 807-813 ◽  
Author(s):  
K. Barton ◽  
H. Cattell
Keyword(s):  
Function Analysis ◽  
Personality Characteristics ◽  
Personality Factor ◽  
Personality Profiles ◽  
Wellesley College ◽  
Art And Science ◽  
Sixteen Personality Factor ◽  
Science And Art ◽  
Similarities And Differences ◽  
Science Major

Using Cattell's Sixteen Personality Factor Test the personality profiles of psychology, art, and science majors at Wellesley College were compared among themselves and with an older group of successful female psychologists. A discriminant function analysis yielded significant similarities and differences between the psychology, art, and science major groups.

scholarly journals Personality and Attitudes toward the Treatment of Animals

1997 ◽  
Vol 5 (2) ◽  
pp. 169-175 ◽  
Author(s):  
Harold A. Herzog ◽  
Steve Mathews
Keyword(s):  
College Students ◽  
Animal Welfare ◽  
Personality Factors ◽  
Personality Factor ◽  
Sixteen Personality Factor ◽  
The Relationship

AbstractThe authors examined the relationship between personality and attitudes toward the treatment of animals by administering the Sixteen Personality Factor Inventory and the Animal Attitudes Scale to 99 college students. The personality scales were only weakly related to attitudes about animal welfare issues. Two personality factors, sensitivity and imaginativeness, were significantly correlated with attitudes towards animals. Gender and sensitivity explained 25% of the variance in attitudes, with most of the variance accounted for by gender.

scholarly journals An Examination of Depressive Symptoms in Adolescents: The Relationship of Personality Traits and Perceived Social Support

2021 ◽  
Vol 4 (1) ◽  
pp. 1-11
Author(s):  
Abdul Hanan Sami ◽  
Naveeda Naveeda
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Personality Traits ◽  
Perceived Social Support ◽  
Short Version ◽  
Stress Scale ◽  
Age Range ◽  
Relationship Of ◽  
The Relationship ◽  
Negative Predictor

Present study aimed at investigating the association between personality traits, perceived social support and depressive symptoms in adolescents. Through convenient sampling, total 302 students (110 males and 192 females) were recruited from different universities of Rawalpindi and Islamabad. The age range of sample was 18-25 years. In present study, The Big Five Inventory- Short Version (BFI-S) (Gerlitz & Schupp, 2005), The Multidimensional Scale of Perceived Social Support (MSPSS) (Zimet et al., 1988), and Depression, Anxiety and Stress Scale (DASS-21) (Lovibond & Lovibond, 1995) were used to access personality traits, perceived social support and depressive symptoms. Findings of the present study showed a significant positive relationship between neuroticism and depressive symptoms. However, extraversion, conscientiousness and perceived social support showed significant negative association with depressive symptoms. According to regression analysis, neuroticism is a positive while, perceived social support is significant negative predictor of depressive symptoms in young adolescents. Furthermore, findings of present study may assist in identifying the personality traits at risk of experiencing depression.

Bright and Dark-Side Traits Associated With Interests in Commerce vs Science: Different Personality Profiles of the Scientist-Practitioner

2021 ◽  
pp. 003329412110021
Author(s):  
Adrian Furnham ◽  
Luke Treglown
Keyword(s):  
Personality Traits ◽  
Personnel Selection ◽  
Work Motivation ◽  
Dark Side ◽  
Personality Factors ◽  
Personality Profiles ◽  
Job Fit ◽  
Bright Side ◽  
Hogan Personality Inventory ◽  
The Relationship

This study focused on the idea that there are predictable differences between those individuals who opt for Scientific rather than the Commerce/Practitioner jobs and consulting assignments. A total of 2278 adults from a variety of occupations completed three validated questionnaires: the first assessed the behavioural tendency of an individual when one is exposed to stress and which could derail one’s business career (HDS: Hogan Development Survey); the second the values and preferences that indicate work motivation (MVPI: The Motives, Values and Preferences Inventory), and the third, seven bright-side personality factors (HPI: Hogan Personality Inventory). The MVPI measured interests in scientific and commercial/enterprising activities. Correlations, regressions and SEM indicated both similarities and differences in the relationship between personality traits and values. Bright-side personality traits accounted for more the variance for those interested in Science while dark-side traits accounted for more variance for those interested in the Commerce. The biggest difference occurred in Inquisitiveness (Curiosity, Openness to Experience) which was much higher for those interested in science. Implications for personnel selection, job-fit and promotion were discussed.

321 Subjective Sleep and NEO Five Factor Personality Domains in Individuals with Primary Insomnia Compared to Good Sleeper Controls

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A128-A129
Author(s):  
Henry Orff ◽  
Guadalupe Rivera ◽  
Erin Almklov
Keyword(s):  
Personality Traits ◽  
Five Factor Model ◽  
Sleep Onset ◽  
Primary Insomnia ◽  
Sleep Diary ◽  
Future Research ◽  
Personality Profiles ◽  
Subjective Sleep ◽  
The Relationship ◽  
Pearson Correlations

Abstract Introduction Insomnia is a common sleep disorder in adults. Primary Insomnia (PI) can be specified in cases where the insomnia symptoms cannot be overtly attributed to medical, psychiatric, or environmental reasons. Although the underlying predisposing causes of insomnia are unclear, one possible contributing factor may be personality traits. To date no consensus on the relationship between insomnia and personality has been determined, although many studies have found a general association with neuroticism. To better explore these associations, this study compared NEO Five Factor Model (FFM) personality traits with measures of subjective sleep in PIs and Good Sleeper (GS) controls. Methods Nine PI and nine GS matched for age, sex, and education were studied. Each participant was administered the Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and NEO FFM. Participants also completed a sleep diary for 1-week. ANOVAs compared PI vs GS on ISI, PSQI, NEO FFM, and 7-day averaged data from the sleep diary. Lastly, sleep variables were collapsed across groups and Pearson correlations were run to explore the relationship between sleep and personality. Results PIs (4M/5F, age=39.6+/-10.1, education=16.0+/-1.7) and GSs (4M/5F, age=38.6+/-7, education=15.1+/-1.5) showed significant differences in ISI (p&lt;.001) and PSQI (p&lt;.001) total scores. Additionally, the groups differed on diary measures of total sleep (p=.001), sleep efficiency (SE: p&lt;.001), sleep latency (p=.005), and wake after sleep onset (p&lt;.001). On the NEO FFM only the Agreeableness domain was found to differentiate the two groups (p=.004). Pearson correlations found significant negative relationships for Agreeableness with ISI (r= -.625/p=.006), PSQI (r= -.611/p=.007), and a significant positive relationship with SE from the sleep diary (r=.602/p=.008). Conclusion In a small but well-matched study of PI and GS, significant differences in Agreeableness on the NEO FFM were observed. Lower levels of agreeableness were associated with poorer sleep on the ISI and PSQI, and lower SE on the sleep diaries. Unlike other published reports this study did not find a relationship between insomnia and neuroticism, which may reflect the use of a well-screened Primary Insomnia sample with limited comorbidities. Future research should determine if other insomnia subtypes (e.g., psychophysiological, paradoxical insomnia) are associated with different personality profiles. Support (if any):

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