Personality refers to the integration of feelings, thoughts, and behaviors specific to individual. The fact that personality has a distinguishing feature among individuals explains different behaviors of individuals a...Personality refers to the integration of feelings, thoughts, and behaviors specific to individual. The fact that personality has a distinguishing feature among individuals explains different behaviors of individuals against events and situations. This arises from the fact that personality is specific to individual and is affected by the effects of many factors with which it interacts, and from the integration of them. In this context, this research is based on the hypothesis that there is a relationship between vocs.tionai school students＇ demographic features including their family, socio-culture, geographical environments （gender, age, department, grade, parental education, number of siblings, birth order in the family, and the family＇s income levels）, and the personality profiles. The research was carded out as part of five-factor model of personality in an attempt to determine whether vocational school students＇ personality profiles vary according to demographic variables and to reveal the relationship between them. The research sample consisted of 220 students selected from the students studying in Altmta~ Vocational School in the Spring Term of the 2013-2014 Academic Year. Data were analyzed via SPSS 15.0 statistical package program by performing t-test, analysis of variance and logistic regression analysis. While a significant difference was found between students＇ five-factor personality profiles according to gender, age, department, average, father＇s education, and the number of siblings, no significant difference was found among grade, mother＇s education, birth order in the family, and income levels. Moreover, independent variables affecting students＇ academic averages were determined as a result of the logistic regression analysis.展开更多
This study examined the influence of Big Five personality traits on Facebook usage and examined the interactions of traits in this context based on Torgersen’s (1995) typological approach. The effect of self-esteem, ...This study examined the influence of Big Five personality traits on Facebook usage and examined the interactions of traits in this context based on Torgersen’s (1995) typological approach. The effect of self-esteem, narcissism, loneliness, shyness and boredom proneness on Facebook usage was also investigated. The sample included both student (N = 190) and (N = 184) non-student samples. Narcissism was the strongest predictor of time spent on Facebook per day for both students and non-students. Narcissism was also the strongest predictor of number of daily logins for non-students, however, agreeableness was the strongest predictor of logins for students. Extraversion was the strongest predictor of number of Facebook friends for both students and non- students, however the interaction of Extraversion and Neuroticism was also a predictor of Facebook friends for students, and the interaction of Extraversion and Conscientiousness for non-students. Future research should consider the combined effect of personality traits on overall Facebook use.展开更多
目的研究烧伤患者认知加工在伤残接受度和人格特征之间的中介作用。方法以2020年1月至2021年1月在空军军医大学第二附属医院烧伤整形科收治的122例烧伤患者为研究对象,调查所有患者的一般信息。采用伤残接受度量表(acceptance of disabi...目的研究烧伤患者认知加工在伤残接受度和人格特征之间的中介作用。方法以2020年1月至2021年1月在空军军医大学第二附属医院烧伤整形科收治的122例烧伤患者为研究对象,调查所有患者的一般信息。采用伤残接受度量表(acceptance of disability scale,ADS)、大五人格问卷(big five inventory,BFI)和事件相关反刍性沉思问卷(event related rumination inventory,ERRI)评估烧伤患者的伤残接受度、人格特征和认知加工情况。采用Pearson分析法评价伤残接受度与人格特征和认知加工的关系,采用路径分析法分析认知加工在伤残接受度和人格特征之间的中介作用。结果烧伤患者的AODS、BFI、ERRI量表评分分别为(62.35±4.76)、(37.48±3.87)、(26.63±2.87)分,AODS量表及其价值维度、包容维度、转变维度、从属维度各项目与BFI、ERRI量表及其各项目呈正相关(P<0.05)。人格特征可直接影响烧伤患者的伤残接受度(r=0.329),也可通过认知加工影响伤残接受度,其中认知加工的中介效应包括目的性反刍性沉思和侵入性反刍性沉思的单独路径中介效应(r=0.046、0.036),以及两者的链式中介效应(r=0.008)。结论烧伤患者大多伤残接受度较低,消极人格特征突出,认知加工能力不足。认知加工在烧伤患者的人格特征和患者烧伤接受度中发挥中介作用。医护人员应以此为依据,为患者提供有针对性的干预措施以保持患者的心理健康,促进病情早日恢复。展开更多
文摘Personality refers to the integration of feelings, thoughts, and behaviors specific to individual. The fact that personality has a distinguishing feature among individuals explains different behaviors of individuals against events and situations. This arises from the fact that personality is specific to individual and is affected by the effects of many factors with which it interacts, and from the integration of them. In this context, this research is based on the hypothesis that there is a relationship between vocs.tionai school students＇ demographic features including their family, socio-culture, geographical environments （gender, age, department, grade, parental education, number of siblings, birth order in the family, and the family＇s income levels）, and the personality profiles. The research was carded out as part of five-factor model of personality in an attempt to determine whether vocational school students＇ personality profiles vary according to demographic variables and to reveal the relationship between them. The research sample consisted of 220 students selected from the students studying in Altmta~ Vocational School in the Spring Term of the 2013-2014 Academic Year. Data were analyzed via SPSS 15.0 statistical package program by performing t-test, analysis of variance and logistic regression analysis. While a significant difference was found between students＇ five-factor personality profiles according to gender, age, department, average, father＇s education, and the number of siblings, no significant difference was found among grade, mother＇s education, birth order in the family, and income levels. Moreover, independent variables affecting students＇ academic averages were determined as a result of the logistic regression analysis.
文摘This study examined the influence of Big Five personality traits on Facebook usage and examined the interactions of traits in this context based on Torgersen’s (1995) typological approach. The effect of self-esteem, narcissism, loneliness, shyness and boredom proneness on Facebook usage was also investigated. The sample included both student (N = 190) and (N = 184) non-student samples. Narcissism was the strongest predictor of time spent on Facebook per day for both students and non-students. Narcissism was also the strongest predictor of number of daily logins for non-students, however, agreeableness was the strongest predictor of logins for students. Extraversion was the strongest predictor of number of Facebook friends for both students and non- students, however the interaction of Extraversion and Neuroticism was also a predictor of Facebook friends for students, and the interaction of Extraversion and Conscientiousness for non-students. Future research should consider the combined effect of personality traits on overall Facebook use.
文摘目的研究烧伤患者认知加工在伤残接受度和人格特征之间的中介作用。方法以2020年1月至2021年1月在空军军医大学第二附属医院烧伤整形科收治的122例烧伤患者为研究对象,调查所有患者的一般信息。采用伤残接受度量表(acceptance of disability scale,ADS)、大五人格问卷(big five inventory,BFI)和事件相关反刍性沉思问卷(event related rumination inventory,ERRI)评估烧伤患者的伤残接受度、人格特征和认知加工情况。采用Pearson分析法评价伤残接受度与人格特征和认知加工的关系,采用路径分析法分析认知加工在伤残接受度和人格特征之间的中介作用。结果烧伤患者的AODS、BFI、ERRI量表评分分别为(62.35±4.76)、(37.48±3.87)、(26.63±2.87)分,AODS量表及其价值维度、包容维度、转变维度、从属维度各项目与BFI、ERRI量表及其各项目呈正相关(P<0.05)。人格特征可直接影响烧伤患者的伤残接受度(r=0.329),也可通过认知加工影响伤残接受度,其中认知加工的中介效应包括目的性反刍性沉思和侵入性反刍性沉思的单独路径中介效应(r=0.046、0.036),以及两者的链式中介效应(r=0.008)。结论烧伤患者大多伤残接受度较低,消极人格特征突出,认知加工能力不足。认知加工在烧伤患者的人格特征和患者烧伤接受度中发挥中介作用。医护人员应以此为依据,为患者提供有针对性的干预措施以保持患者的心理健康,促进病情早日恢复。
