Personality Traits That Distinguish Special Operations Female Aircrew

2021 ◽  
Vol 92 (4) ◽  
pp. 240-247
Author(s):  
Wayne Chappelle ◽  
Anne H. Shadle ◽  
Rachael N. Martinez ◽  
Laura E. Reardon ◽  
Tanya Goodman ◽  
...  

INTRODUCTION: U.S. Air Force Special Operations Command (AFSOC) female aircrew represent a small group of military personnel in challenging high-risk, high-demand professions. Personality characteristics may play a key role in distinguishing those women who pursue a career as a special operations aircrew member and succeed in this pursuit. Having access to normative personality data can potentially support psychologists in assessing AFSOC female aircrew and subsequently making informed recommendations to leadership.METHODS: A total of 586 AFSOC aircrew trainees58 (9.9%) women and 528 (90.1%) mencompleted a series of computer-based psychological tests to assess cognitive ability and personality traits.RESULTS: Results indicated significant differences between female AFSOC aircrew and female civilians on four of the five NEO Personality Inventory domains: Neuroticism (M 74.9 vs. M 87.1), Extraversion (M 123.7 vs. M 112.8), Openness to Experience (M 122.6 vs. M 111.0), and Conscientiousness (M 136.0 vs. M 120.6), respectively. The comparison between female AFSOC aircrew and male AFSOC aircrew revealed significant differences across three of the five domains: Neuroticism (M 74.9 vs. M 65.1), Openness to Experience (M 122.6 vs. M 115.0), and Agreeableness (M 119.6 vs. M 112.7), respectively.DISCUSSION: Implications for assessment and interpretation of psychological testing are discussed. This paper provides a unique perspective and insight into those who pursue and excel in this career field. Identifying specific personality traits in our AFSOC female aircrew allows for tailored care and support when evaluating readiness in special operations aircrew for optimizing performance.Chappelle W, Shadle AH, Martinez RN, Reardon LE, Goodman T, Spencer H, Thompson W. Personality traits that distinguish special operations female aircrew. Aerosp Med Hum Perform. 2021; 92(4):240247.

1976 ◽  
Vol 42 (2) ◽  
pp. 467-470 ◽  
Author(s):  
T. D. Brown

There is a relationship between personality traits of enlisted personnel at one mid-west Air Force Base and their frequency of moving violations. The 52 individuals who received one or two moving violations were more emotionally stable than the 33 non-offenders and the 18 chronic offenders. Discriminant analysis showed significant differences between the personality characteristics of the occasional offender and the other two groups, but none between the chronic offender and the non-offender. The personality characteristics of the chronic offender resembled those of Zelhart's alcoholic offender and Dunbar's “accident-prone” individual. Additional research using a more heterogeneous sample might make possible identification of the high-frequency traffic violator by means of personality characteristics measured after his first offense.


2003 ◽  
Vol 29 (4) ◽  
Author(s):  
K. Storm ◽  
S. Rothmann

The objective of this research was to determine the relationship between burnout, personality traits and coping strategies. A survey design was used. The study population consisted of 131 employees in a corporate pharmaceutical group. The Maslach Burnout Inventory, NEO Personality Inventory Revised and COPE were administered. Active coping strategies were associated with Emotional Stability, Extraversion, Openness to Experience and Conscientiousness, while passive coping strategies were associated with Neuroticism, low Agreeableness and low Conscientiousness. Emotional Stability, Extraversion, Openness to Experience, Agreeableness and Conscientiousness were associated with lower emotional exhaustion and depersonalisation and higher personal accomplishment. Constructive coping strategies were associated with personal accomplishment. Opsomming Die doelstelling van hierdie navorsing was om te bepaal of daar ’n verband tussen uitbranding, persoonlikheidstrekke en coping-strategieë bestaan. ’n Opnameontwerp is gebruik. Die ondersoekgroep het bestaan uit 131 werknemers van ’n korporatiewe apteekgroep. Drie vraelyste is gebruik, naamlik die Maslach-Uitbrandingsvraelys, die NEO Personality Inventory Revised en die COPE. Aktiewe coping-strategieë is geassosieer met Emosionele Stabiliteit, Ekstroversie, Openheid vir Ervaring en Konsensieusheid, terwyl passiewe coping-strategieë geassosieer is met Neurotisisme, lae Inskiklikheid en lae Konsensieusheid. Emosionele Stabiliteit, Ekstroversie, Openheid vir Ervaring, Inskiklikheid en Konsensieusheid is geassosieer met lae emosionele uitputting, lae depersonalisasie en hoë persoonlike bereiking. Konstruktiewe coping-strategieë is geassosieer met persoonlike bereiking.


2020 ◽  
Author(s):  
Jingyuan Su ◽  
Michelle Dugas ◽  
Xitong Guo ◽  
Guodong (Gordon) Gao

BACKGROUND Mobile technology for health (mHealth) interventions are increasingly being used to help improve self-management among patients with diabetes; however, these interventions have not been adopted by a large number of patients and often have high dropout rates. Patient personality characteristics may play a critical role in app adoption and active utilization, but few studies have focused on addressing this question. OBJECTIVE This study aims to address a gap in understanding of the relationship between personality traits and mHealth treatment for patients with diabetes. We tested the role of the five-factor model of personality traits (openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism) in mHealth adoption preference and active utilization. METHODS We developed an mHealth app (DiaSocial) aimed to encourage diabetes self-management. We recruited 98 patients with diabetes—each patient freely chose whether to receive the standard care or the mHealth app intervention. Patient demographic information and patient personality characteristics were assessed at baseline. App usage data were collected to measure user utilization of the app. Patient health outcomes were assessed with lab measures of glycated hemoglobin (HbA<sub>1c</sub> level). Logistic regression models and linear regression were employed to explore factors predicting the relationship between mHealth use (adoption and active utilization) and changes in health outcome. RESULTS Of 98 study participants, 46 (47%) downloaded and used the app. Relatively younger patients with diabetes were 9% more likely to try and use the app (<i>P</i>=.02, odds ratio [OR] 0.91, 95% CI 0.85-0.98) than older patients with diabetes were. Extraversion was negatively associated with adoption of the mHealth app (<i>P</i>=.04, OR 0.71, 95% CI 0.51-0.98), and openness to experience was positively associated with adoption of the app (<i>P</i>=.03, OR 1.73, 95% CI 1.07-2.80). Gender (<i>P</i>=.43, OR 0.66, 95% CI 0.23-1.88), education (senior: <i>P</i>=.99, OR 1.00, 95% CI 0.32-3.11; higher: <i>P</i>=.21, OR 2.51, 95% CI 0.59-10.66), and baseline HbA<sub>1c</sub> level (<i>P</i>=.36, OR 0.79, 95% CI 0.47-1.31) were not associated with app adoption. Among those who adopted the app, a low education level (senior versus primary <i>P</i>=.003; higher versus primary <i>P</i>=.03) and a high level of openness to experience (<i>P</i>=.048, OR 2.01, 95% CI 1.01-4.00) were associated with active app utilization. Active users showed a significantly greater decrease in HbA<sub>1c</sub> level than other users (ΔHbA<sub>1c</sub>=−0.64, <i>P</i>=.05). CONCLUSIONS This is one of the first studies to investigate how different personality traits influence the adoption and active utilization of an mHealth app among patients with diabetes. The research findings suggest that personality is a factor that should be considered when trying to identify patients who would benefit the most from apps for diabetes management.


2014 ◽  
Vol 42 (5) ◽  
pp. 769-781
Author(s):  
Lijun Jia ◽  
Yun Xu ◽  
Meijuan Wu

In this study we examined the preferred personality traits of Chinese university graduates from the perspective of job suppliers during the campus recruitment season. We collected data from 689 job specifications posted by companies on 3 well-known campus recruitment websites in China. We also introduced the concept of big data. The results, obtained using grounded theory, revealed that suppliers' desired personality characteristics include self-motivation, self-balance, agreeableness, conscientiousness, and openness to experience. These types of personality traits are helpful to increase undergraduates' chances of employment and improve their employability.


2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Dr. Arun Rajaram Daitkar

An objective of the study: To investigate the effect of achievement motivation on personality traits (Openness to experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism) students. Hypothesis: There is no significant difference in the high and low achievement motivation students in relation to their personality traits (Openness to experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism).  Sample: The sample size of the study is 100 belongings to Aurangabad, which includes college student. Scrutiny test is applied on students divided for 50 high achievement motivation students and 50 low achievement motivation students. The age range of subjects is 18-25 years. Tools deo-mohan achievement scale. Personality Traits Inventory (NEOPI): This test is developed and standardized by Costa and McCrae for measuring personality characteristics (Openness to experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism). Variable Independent variable Types of achievement motivation: i) High ii) Low Dependent Variable personality traits (Openness to experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism) Conclusions 1. High achievement motivation students had significantly high Openness to experience, Conscientiousness, Extraversion and Agreeableness than the low achievement motivation students.2. Low achievement motivation students had significantly high Neuroticism than the high achievement motivation students.


10.2196/17709 ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. e17709
Author(s):  
Jingyuan Su ◽  
Michelle Dugas ◽  
Xitong Guo ◽  
Guodong (Gordon) Gao

Background Mobile technology for health (mHealth) interventions are increasingly being used to help improve self-management among patients with diabetes; however, these interventions have not been adopted by a large number of patients and often have high dropout rates. Patient personality characteristics may play a critical role in app adoption and active utilization, but few studies have focused on addressing this question. Objective This study aims to address a gap in understanding of the relationship between personality traits and mHealth treatment for patients with diabetes. We tested the role of the five-factor model of personality traits (openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism) in mHealth adoption preference and active utilization. Methods We developed an mHealth app (DiaSocial) aimed to encourage diabetes self-management. We recruited 98 patients with diabetes—each patient freely chose whether to receive the standard care or the mHealth app intervention. Patient demographic information and patient personality characteristics were assessed at baseline. App usage data were collected to measure user utilization of the app. Patient health outcomes were assessed with lab measures of glycated hemoglobin (HbA1c level). Logistic regression models and linear regression were employed to explore factors predicting the relationship between mHealth use (adoption and active utilization) and changes in health outcome. Results Of 98 study participants, 46 (47%) downloaded and used the app. Relatively younger patients with diabetes were 9% more likely to try and use the app (P=.02, odds ratio [OR] 0.91, 95% CI 0.85-0.98) than older patients with diabetes were. Extraversion was negatively associated with adoption of the mHealth app (P=.04, OR 0.71, 95% CI 0.51-0.98), and openness to experience was positively associated with adoption of the app (P=.03, OR 1.73, 95% CI 1.07-2.80). Gender (P=.43, OR 0.66, 95% CI 0.23-1.88), education (senior: P=.99, OR 1.00, 95% CI 0.32-3.11; higher: P=.21, OR 2.51, 95% CI 0.59-10.66), and baseline HbA1c level (P=.36, OR 0.79, 95% CI 0.47-1.31) were not associated with app adoption. Among those who adopted the app, a low education level (senior versus primary P=.003; higher versus primary P=.03) and a high level of openness to experience (P=.048, OR 2.01, 95% CI 1.01-4.00) were associated with active app utilization. Active users showed a significantly greater decrease in HbA1c level than other users (ΔHbA1c=−0.64, P=.05). Conclusions This is one of the first studies to investigate how different personality traits influence the adoption and active utilization of an mHealth app among patients with diabetes. The research findings suggest that personality is a factor that should be considered when trying to identify patients who would benefit the most from apps for diabetes management.


2021 ◽  
Vol 3 (2) ◽  
pp. 262-283
Author(s):  
Sanaullah Abro ◽  
Nazar Hussain Phulpoto ◽  
Saifullah Memon ◽  
Manzoor Ali Brohi

The main purpose of this study was to analyze the relationship between the Big Five Personality Model and Cyberloafing. Results have demonstrated that the elements of the five-factor personality model are positively related to cyberloafing, and some factors are inversely related to cyberloafing. The five major elements of the five-factor personality model are Agreeableness, Openness to Experience, Neuroticism, Consciousness and Extraversion. Two of the five factors, i.e., Agreeableness and Consciousness, are inversely related to cyberloafing whereas Extraversion, Openness to Experience, and Neuroticism are linked positively. Furthermore, results suggest that Agreeableness and consciousness do not have a significant impact on cyberloafing. An individual with these traits is found to be more of a workaholic, because of their belief in commitment and work. This study findings have some valid implications for organizational managers to gain insight into employees’ personalities and their cyberloafing behaviour.


2013 ◽  
Vol 34 (2) ◽  
pp. 82-89 ◽  
Author(s):  
Sophie von Stumm

Intelligence-as-knowledge in adulthood is influenced by individual differences in intelligence-as-process (i.e., fluid intelligence) and in personality traits that determine when, where, and how people invest their intelligence over time. Here, the relationship between two investment traits (i.e., Openness to Experience and Need for Cognition), intelligence-as-process and intelligence-as-knowledge, as assessed by a battery of crystallized intelligence tests and a new knowledge measure, was examined. The results showed that (1) both investment traits were positively associated with intelligence-as-knowledge; (2) this effect was stronger for Openness to Experience than for Need for Cognition; and (3) associations between investment and intelligence-as-knowledge reduced when adjusting for intelligence-as-process but remained mostly significant.


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