Using Personality Traits to Understand the Influence of Personality on Computer Programming

2016 ◽  
Vol 18 (1) ◽  
pp. 28-48 ◽  
Author(s):  
Zahra Karimi ◽  
Ahmad Baraani-Dastjerdi ◽  
Naser Ghasem-Aghaee ◽  
Stefan Wagner
Keyword(s):  
Personality Traits ◽  
Computer Programming ◽  
Openness To Experience ◽  
Personality Factors ◽  
Software Projects ◽  
Programming Students ◽  
Negative Effect ◽  
Software Psychology ◽  
Personality Facets ◽  
Positive Effect

Computer programming is complex and all personality factors might influence it. Personality factors are comprehensive but broad and, therefore, lower level traits may help understanding the influence of personality on computer programming. The objective of this paper is to extend the empirical knowledge in software psychology by using narrow personality traits as well as broad personality traits to explain the influence of personality. The authors surveyed 68 programming students developing software projects to investigate the influence of personality on performance in computer programming. They measured five broad personality factors, 17 personality facets, prior experience, attitude and self-assessed survey performance. They also used the grade students achieved in the software projects as an indicator of software quality. It was found that prior programming experience, attitude towards programming, academic performance, Openness to Experience, Conscientiousness, Extraversion and Agreeableness have a positive effect on performance in computer programming. However, one facet of Openness to Experience and facets of Neuroticism revealed negative effect. The authors found an indication that different aspects of personality factors have different influences on computer programming. Personality facets show larger effect than personality and help explaining the influence of personality. More studies are needed to strengthen the findings and clarify the situation.

scholarly journals Self-Expressive Creativity in the Adolescent Digital Domain: Personality, Self-Esteem, and Emotions

2019 ◽  
Vol 16 (22) ◽  
pp. 4527 ◽  
Author(s):  
Pérez-Fuentes ◽  
Molero Jurado ◽  
Gázquez Linares ◽  
Oropesa Ruiz ◽  
Simón Márquez ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
High School Students ◽  
Personality Traits ◽  
Self Esteem ◽  
Positive Influence ◽  
Openness To Experience ◽  
Positive Development ◽  
Personality Factors ◽  
School Students ◽  
Negative Effect

Background: Although self-expressive creativity is related to cyberbullying, it can also reinforce strengths that contribute to positive adolescent development. Our study concentrated on the relationships between personality traits and self-expressive creativity in the digital domain in an adolescent population. For this, we analyzed the effect of self-esteem and emotional intelligence as assets for positive development related to personality traits and self-expressive creativity. Methods: The study population included a total of 742 adolescents that were high-school students in the province of Almería, Spain. The following instruments were used: Big Five Inventory (BFI) to evaluate the five broad personality factors, Rosenberg Self-Esteem Scale (RSE), Expression, Management, and Emotion Recognition Evaluation Scale (TMMS-24), and the Creative Behavior Questionnaire: Digital (CBQD). Results: The cluster analysis revealed the existence of two profiles of adolescents based on their personality traits. The analysis showed that the group with the highest levels of extraversion and openness to experience and lowest levels of neuroticism were those who showed the highest scores in self-esteem, clarity, and emotional repair, as well as in self-expressive creativity. Higher scores in neuroticism and lower scores in extraversion and openness to experience showed a direct negative effect on self-expressive creativity and indirect effect through self-esteem and emotional attention, which acted as mediators in series. Conclusions: To counteract certain characteristics that increase adolescents’ vulnerability to social network bullying, a plan must be developed for adequate positive use of the Internet from a creative model that enables digital self-expression for acquiring identity and self-efficacy through the positive influence of peers, which promotes feelings of empowerment and self-affirmation through constructive tasks that reinforce self-esteem and emotional intelligence.

scholarly journals The impact of personality traits on attitudes toward learning communication skills

2020 ◽  
Vol 30 (1) ◽  
pp. e37326
Author(s):  
Camila Ament Giuliani dos Santos Franco ◽  
Renato Soleiman Franco ◽  
Dario Cecilio-Fernandes ◽  
Milton Severo ◽  
Maria Amélia Ferreira
Keyword(s):  
Personality Traits ◽  
Communication Skills ◽  
Attitude Scale ◽  
Openness To Experience ◽  
Personality Factors ◽  
Undergraduate Medical Students ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Attitudes Toward Learning ◽  
The Impact

Aims: The aim of this study was to investigate the association between personality traits and attitudes toward learning communication skills in undergraduate medical students. The relation between students’ attitudes and personality trait could help us identify those who those who will need more support to develop communication skills, based on their personality traits.Methods: The data was collected data from an intentional and cross-sectional sample composed of 204 students from three Brazilian universities. The students answered questionnaires containing the Communication Skills Attitude Scale (CSAS-BR) and the Big Five Mini-Markers (BFMM) for personality. Data were analyzed using frequency calculations, principal components analysis, and the multiple linear regression model.Results: Seven among 26 items of the original Communication Skills Attitude Scale (CSAS) presented factor loads lower than |0.30| and must be excluded in the CSAS -BR that showed one domain including positive and negative attitudes. The value of Cronbach’s alpha of the 19-item scale was 0.894. The BFMM showed similar dimensional results with five domains with Cronbach’s alpha values of 0.804 for Extroversion, 0.753 for agreeableness, 0.755 for conscientiousness, 0.780 for neuroticism and 0.668 for openness. There were positive and statically significant linear associations with the CSAS-BR and agreeableness (β: 0.230, p<0.001), extraversion (β: 0.150, p=0.030), and openness to experience (β: 0.190, p=0.010). These personality factors drive social interactions and interpersonal relations, which involve the tendency to be friendly, flexible, and cooperative; to show a willing disposition; and the ability to actively engage with others. Conclusions: Based on the methods applied in this study, the results demonstrated a relation between agreeableness, extraversion and openness to experience with attitudes on communication skills in students from three Brazilian universities. Our results suggest that the evaluation of personality traits can contribute to the recognition of students for whom the establishment of special teaching strategies can improve communication skills.

Relationship Between Personality Traits and Academic Achievement Among College Students

2015 ◽  
Vol 5 (2) ◽  
pp. 123-133
Author(s):  
Štefan Vendel
Keyword(s):  
Academic Achievement ◽  
Regression Analysis ◽  
Personality Traits ◽  
Grade Point Average ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Grade Point ◽  
Negative Effect ◽  
The Relationship ◽  
Positive Effect

The study aims to investigate the relationship between personality traits and academic achievement of university students. The sample consisted of 100 students, aged from 22 to 25 years. The shortened version of NEO-FFI was used to measure personality traits. Academic achievement was measured by the grade point average gained during the first three years of university study. The data were evaluated by the Multiple linear regression analysis. The research has shown the negative effect of extraversion, and a positive effect of conscientiousness on academic achievement. As expected, the relationship between academic achievement and neuroticism, agreeableness and openess to experience was not confirmed.

scholarly journals Resting-State Functional Brain Connectivity Best Predicts the Personality Dimension of Openness to Experience

2018 ◽  
Vol 1 ◽  
Author(s):  
Julien Dubois ◽  
Paola Galdi ◽  
Yanting Han ◽  
Lynn K. Paul ◽  
Ralph Adolphs
Keyword(s):  
Personality Traits ◽  
Resting State ◽  
Small Sample ◽  
Openness To Experience ◽  
Fmri Data ◽  
Personality Factors ◽  
Personality Factor ◽  
Personality Dimension ◽  
Human Connectome Project ◽  
Neuroimaging Data

AbstractPersonality neuroscience aims to find associations between brain measures and personality traits. Findings to date have been severely limited by a number of factors, including small sample size and omission of out-of-sample prediction. We capitalized on the recent availability of a large database, together with the emergence of specific criteria for best practices in neuroimaging studies of individual differences. We analyzed resting-state functional magnetic resonance imaging (fMRI) data from 884 young healthy adults in the Human Connectome Project database. We attempted to predict personality traits from the “Big Five,” as assessed with the Neuroticism/Extraversion/Openness Five-Factor Inventory test, using individual functional connectivity matrices. After regressing out potential confounds (such as age, sex, handedness, and fluid intelligence), we used a cross-validated framework, together with test-retest replication (across two sessions of resting-state fMRI for each subject), to quantify how well the neuroimaging data could predict each of the five personality factors. We tested three different (published) denoising strategies for the fMRI data, two intersubject alignment and brain parcellation schemes, and three different linear models for prediction. As measurement noise is known to moderate statistical relationships, we performed final prediction analyses using average connectivity across both imaging sessions (1 hr of data), with the analysis pipeline that yielded the highest predictability overall. Across all results (test/retest; three denoising strategies; two alignment schemes; three models), Openness to experience emerged as the only reliably predicted personality factor. Using the full hour of resting-state data and the best pipeline, we could predict Openness to experience (NEOFAC_O:r=.24,R2=.024) almost as well as we could predict the score on a 24-item intelligence test (PMAT24_A_CR:r=.26,R2=.044). Other factors (Extraversion, Neuroticism, Agreeableness, and Conscientiousness) yielded weaker predictions across results that were not statistically significant under permutation testing. We also derived two superordinate personality factors (“α” and “β”) from a principal components analysis of the Neuroticism/Extraversion/Openness Five-Factor Inventory factor scores, thereby reducing noise and enhancing the precision of these measures of personality. We could account for 5% of the variance in the β superordinate factor (r=.27,R2=.050), which loads highly on Openness to experience. We conclude with a discussion of the potential for predicting personality from neuroimaging data and make specific recommendations for the field.

scholarly journals When Will the Lockdown End? Confinement Duration Forecasts and Self-Reported Life Satisfaction in Spain: A Longitudinal Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Gerardo Sabater-Grande ◽  
Aurora García-Gallego ◽  
Nikolaos Georgantzís ◽  
Noemí Herranz-Zarzoso
Keyword(s):  
Life Satisfaction ◽  
Longitudinal Study ◽  
Personality Traits ◽  
Daily Life ◽  
Monetary Reward ◽  
Individual Heterogeneity ◽  
Health State ◽  
Negative Effect ◽  
The Impact ◽  
Positive Effect

This paper reports results from a longitudinal study on the impact of the lockdown on daily self-reported life satisfaction levels during the first wave of the COVID-19 pandemic in Spain. A stable panel (N = 1,131) of adult subjects were surveyed during 84 consecutive days (March 29–June 20, 2020). They were asked to report daily life satisfaction and health state levels. Interestingly, daily life satisfaction increased during the lockdown. At the beginning of the experiment, subjects were asked to guess the end-week of the lockdown, against a possible monetary reward for accurate forecasts. Subjects predicting a longer lockdown period reported a higher average level of daily life satisfaction. Females reported on average lower levels of daily life satisfaction, but exhibited a stronger tendency to report higher levels of life satisfaction, the longer their lockdown forecast. Individual heterogeneity in life satisfaction levels can be partly attributed to personality traits, with neuroticism having a negative effect, while extraversion and agreeableness having a positive effect on daily life satisfaction.

scholarly journals The Relationship between Personality Traits, Academic Self-Efficacy and Academic Adaptation among University Students in Jordan

2020 ◽  
Vol 9 (3) ◽  
pp. 120
Author(s):  
Mohammed H. Abood ◽  
Bassam H. Alharbi ◽  
Fatin Mhaidat ◽  
Ahmad M. Gazo
Keyword(s):  
University Students ◽  
Personality Traits ◽  
Self Efficacy ◽  
Five Factor Model ◽  
Openness To Experience ◽  
Personality Factors ◽  
Big Five Personality ◽  
Academic Adaptation ◽  
The Relationship ◽  
Academic Self Efficacy

The current study investigates the relationship between personality traits according to the big five personality factors model, academic self-efficacy and academic adaptation among Hashemite University students in light of gender and specialization. The purposive sample consisted of 546 under graduated students, 258 males and 306 females. Three scales are used: the Five Factor Model (FFM), for academic self-efficacy and for academic adaption. The results show statistically significant differences in the average of participants’ degrees attributed to efficacy and academic adaption in favor of females and scientific specializations. They also show that agreeableness, conscientiousness, openness to experience, extroversion and neuroticism are most common among university students, with a statistically significant positive correlation between extroversion, openness to experience, academic self-efficacy and academic adaption and a negative correlation between neuroticism, conscientiousness, academic self-efficacy and academic adaption. No correlation was found between agreeableness and these two variables.

scholarly journals Personality Factors Crucial in Internalized Stigma Understanding in Psychiatry

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 456
Author(s):  
Dorota Szcześniak ◽  
Agnieszka Kobyłko ◽  
Marta Lenart ◽  
Maciej Karczewski ◽  
Agnieszka Cyran ◽  
...  
Keyword(s):  
Mental Illness ◽  
Individual Differences ◽  
Personality Traits ◽  
Bipolar Affective Disorder ◽  
Psychosocial Interventions ◽  
Openness To Experience ◽  
Mental Illnesses ◽  
Personality Factors ◽  
Eysenck Personality Questionnaire ◽  
Internalized Stigma

Objective: The main purpose of this research was to establish the relationship between personality traits and internalized stigma in individuals living with severe mental illness. Additionally, the study aimed to identify individual differences that could be used to develop the theoretical socio-cognitive-behavioral equation model of internalized stigma. Methods: A total of 114 patients with diagnosis of nonorganic psychotic disorder or uni- or bipolar affective disorder took part in this study. The Internalized Stigma of Mental Illness (ISMI) scale, Eysenck Personality Questionnaire Revised (EPQ-R) and NEO Five-Factor Inventory (NEO-FFI) were administrated among all participants. Results: Patients presenting higher levels of neuroticism scored higher on the ISMI scale. Otherwise, those with higher levels of extraversion, openness to experience and conscientiousness had lower ISMI scores. With the use of multivariate linear regression, neuroticism, openness to experience and conscientiousness showed the strongest associations with internalized stigma. Conclusions: Intrapersonal factors such as personality traits might explain individual differences in responses to the stigmatization process. Moreover, sociodemographic conditions such as the place of residence and level of education can play a mediating role in reducing the level of internalized stigma. Adequate psychosocial interventions should consider demographics and personality traits when engaging patients with mental illnesses in activities aimed at understanding and accepting the disorders.

scholarly journals Resting-state functional brain connectivity best predicts the personality dimension of openness to experience

2017 ◽  
Author(s):  
Julien Dubois ◽  
Paola Galdi ◽  
Yanting Han ◽  
Lynn K. Paul ◽  
Ralph Adolphs
Keyword(s):  
Personality Traits ◽  
Resting State ◽  
Fluid Intelligence ◽  
Small Sample ◽  
Openness To Experience ◽  
Personality Factors ◽  
Personality Factor ◽  
Personality Dimension ◽  
Human Connectome Project ◽  
Neuroimaging Data

AbstractPersonality neuroscience aims to find associations between brain measures and personality traits. Findings to date have been severely limited by a number of factors, including small sample size and omission of out-of-sample prediction. We capitalized on the recent availability of a large database, together with the emergence of specific criteria for best practices in neuroimaging studies of individual differences. We analyzed resting-state functional magnetic resonance imaging data from 884 young healthy adults in the Human Connectome Project (HCP) database. We attempted to predict personality traits from the “Big Five”, as assessed with the NEO-FFI test, using individual functional connectivity matrices. After regressing out potential confounds (such as age, sex, handedness and fluid intelligence), we used a cross-validated framework, together with test-retest replication (across two sessions of resting-state fMRI for each subject), to quantify how well the neuroimaging data could predict each of the five personality factors. We tested three different (published) denoising strategies for the fMRI data, two inter-subject alignment and brain parcellation schemes, and three different linear models for prediction. As measurement noise is known to moderate statistical relationships, we performed final prediction analyses using average connectivity across both imaging sessions (1 h of data), with the analysis pipeline that yielded the highest predictability overall. Across all results (test/retest; 3 denoising strategies; 2 alignment schemes; 3 models), Openness to experience emerged as the only reliably predicted personality factor. Using the full hour of resting-state data and the best pipeline, we could predict Openness to experience (NEOFAC_O: r=0.24, R2=0.024) almost as well as we could predict the score on a 24-item intelligence test (PMAT24_A_CR: r=0.26, R2=0.044). Other factors (Extraversion, Neuroticism, Agreeableness and Conscientiousness) yielded weaker predictions across results that were not statistically significant under permutation testing. We also derived two superordinate personality factors (“α” and “β”) from a principal components analysis of the NEO-FFI factor scores, thereby reducing noise and enhancing the precision of these measures of personality. We could account for 5% of the variance in the β superordinate factor (r=0.27, R2=0.050), which loads highly on Openness to experience. We conclude with a discussion of the potential for predicting personality from neuroimaging data and make specific recommendations for the field.

scholarly journals COVID-19 Protective Behaviors Are Forms of Prosocial and Unselfish Behaviors

2021 ◽  
Vol 12 ◽  
Author(s):  
Bojana M. Dinić ◽  
Bojana Bodroža
Keyword(s):  
Mediation Effect ◽  
Vulnerable Groups ◽  
Personality Factors ◽  
Protective Behaviors ◽  
Related Factors ◽  
Moderator Effect ◽  
Moderation Effect ◽  
Negative Effect ◽  
Responsible Behaviors ◽  
Positive Effect

The aim of this study was to explore the effects of prosocial and antisocial personality tendencies and context-related state factors on compliance with protective behaviors to prevent the spread of coronavirus infections. Six types of prosocial tendencies (altruism, dire, compliant, emotional, public, and anonymous) and selfishness as the antisocial tendency were included as personality factors, while fear related to the pandemic and empathy toward vulnerable groups (i.e., those in forced isolation) were context-related factors. Furthermore, mediation effect of empathy and moderation effect of fear were explored in relations between personality factors and protective behaviors. The sample included 581 participants (78.3% females). The data were collected from March 28 to April 6, 2020, during the emergency state and curfew in Serbia. The results showed that tendency to help anonymously had a positive effect and selfishness had a negative effect on protective behaviors, over and above demographic characteristics and context-related factors. Among context-related factors, only fear related to the pandemic had a significant unique positive effect on protective behaviors, but it had no moderator effect in the relationship between personality traits and protective behaviors. However, empathy acted as a mediator and partly accounted for the negative effect of selfishness and positive effect of tendency to help anonymously on protective behaviors. The results revealed that compliance with protective measures could be seen as prosocial and unselfish form of behavior. Furthermore, these findings have practical implications for shaping public messages and they can help effectively promote health-responsible behaviors.

scholarly journals The Relationship between Prenatal Testosterone (2D:4D), Big 5 Personality Traits and GRIT in Different Cultural Contexts

2020 ◽  
Vol 4 (4) ◽  
pp. p83
Author(s):  
Jennifer, Meggs ◽  
Scott, Reed
Keyword(s):  
Personality Traits ◽  
Undergraduate Students ◽  
Psychological Functioning ◽  
Testing Procedure ◽  
Openness To Experience ◽  
Self Report ◽  
Personality Factors ◽  
Big 5 ◽  
Prenatal Testosterone ◽  
Big 5 Personality

Digit ratio (2D:4D; a putative correlate of prenatal testosterone) has been shown to be predictive of important personality factors such as mental toughness, optimism and academic achievement. However, to date no study has attempted to investigate prenatal testosterone levels as a predictor of GRIT (persistency and constancy) and the Big 5 personality traits Openness to experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism. Research has also alluded to the potential gender and cultural differences in biological underpinnings of psychological functioning. This study included a sample of Dubai and UK undergraduate students and examined associations between prenatal testosterone (2D:4D), GRIT and Big 5 personality traits (openness to experience, conscientiousness, extraversion, agreeableness and neuroticism). UK and Dubai participants followed the same testing procedure and completed a self-report measure for GRIT and Big 5 personality traits, followed by providing a right-hand scan, which was later used to measure 2D:4D using Vernier Callipers. Results showed that in Dubai participants, the measured psychological variables explained a greater amount of variance in 2D:4D than in UK participants. Openness to experience was a strong significant predictor of 2D:4D in Dubai participants whereas, GRIT, conscientiousness and openness to experience were all significant predictors of 2D:4D for UK participants.

Sign in / Sign up

Export Citation Format

Share Document