{"title":"Early Predictors of Alpha and Beta Personality Factors in Adulthood","authors":"A. Furnham, Helen Cheng","doi":"10.1027/1614-0001/a000377","DOIUrl":null,"url":null,"abstract":"Abstract. This study examined the predictors of two higher factors of personality (Alpha and Beta) using a large nationally representative sample. In total, we had 5,476 participants data on family social status measured at birth, childhood intelligence ability assessed at age 11 years, behavioral problems and leisure activities (sports and parties) at age 16 years, psychological distress at age 23 years, optimism and educational qualifications at age 33 years, occupational prestige at age 42 years, and Big Five personality measured at age 50 years. We combined Big Five scores into Alpha and Beta factors. Correlational analysis showed that childhood intelligence, teenager behavioral problems and leisure activities, psychological distress, optimism, educational qualifications, and occupational prestige were all significant correlates of the Alpha and Beta factors. Structural equation modeling (SEM) showed that childhood intelligence, teenage behavioral problems, education and occupation as well as optimism were the direct predictors of the latent Alpha factor; and that childhood intelligence, education and occupation, psychological distress, and optimism were the direct predictors of the latent Beta factor. Gender was significantly associated with both Alpha and Beta factors. Implications and limitations are acknowledged.","PeriodicalId":47049,"journal":{"name":"Journal of Individual Differences","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Individual Differences","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/1614-0001/a000377","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. This study examined the predictors of two higher factors of personality (Alpha and Beta) using a large nationally representative sample. In total, we had 5,476 participants data on family social status measured at birth, childhood intelligence ability assessed at age 11 years, behavioral problems and leisure activities (sports and parties) at age 16 years, psychological distress at age 23 years, optimism and educational qualifications at age 33 years, occupational prestige at age 42 years, and Big Five personality measured at age 50 years. We combined Big Five scores into Alpha and Beta factors. Correlational analysis showed that childhood intelligence, teenager behavioral problems and leisure activities, psychological distress, optimism, educational qualifications, and occupational prestige were all significant correlates of the Alpha and Beta factors. Structural equation modeling (SEM) showed that childhood intelligence, teenage behavioral problems, education and occupation as well as optimism were the direct predictors of the latent Alpha factor; and that childhood intelligence, education and occupation, psychological distress, and optimism were the direct predictors of the latent Beta factor. Gender was significantly associated with both Alpha and Beta factors. Implications and limitations are acknowledged.
期刊介绍:
Researchers, teachers, and students interested in all areas of individual differences (e.g., gender, temperament, personality, intelligence) and their assessment in human and animal research will find the Journal of Individual Differences useful. The Journal of Individual Differences publishes manuscripts dealing with individual differences in behavior, emotion, cognition, and their developmental aspects. This includes human as well as animal research. The Journal of Individual Differences is conceptualized to bring together researchers working in different areas ranging from, for example, molecular genetics to theories of complex behavior.