{"title":"决策与生活满意度:一般决策风格和最大化倾向作为预测因素的作用","authors":"Meylisa Permata Sari","doi":"10.21512/humaniora.v13i2.7769","DOIUrl":null,"url":null,"abstract":"However, research that focused on testing the role of decision-making on life satisfaction was still limited, even though almost every aspect of human life involves decision-making, and the results could determine one's life situation. There were prior studies that attempted to explore the relationships between life satisfaction and decision-making; however, the results were not conclusive. Therefore, the research aimed to test the relationship between decision-making styles and life satisfaction. Convenience sampling was used in data collection, and 154 university students participated in the research. It used a cross-sectional survey design to test the research hypothesis. The survey consisted of research information, informed consent, demographic, and measuring instrument for research variables. Decision-making styles are measured using General Decision-Making Styles and Maximizing Scale. Life satisfaction was measured using the Satisfaction with Life Scale. The result of multiple linear regression analysis shows that rational decision-making style and tendency to satisfice significantly predict higher levels of life satisfaction, while spontaneous decision-making style and tendency to maximize predict lower levels of life satisfaction. On the other hand, intuitive, dependent, and avoidant decision-making styles do not significantly predict life satisfaction. The implication and direction for future research are discussed. ","PeriodicalId":30545,"journal":{"name":"Humaniora","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decision-Making and Life Satisfaction: The Role of General Decision-Making Styles and Maximizing Tendency as Predictors\",\"authors\":\"Meylisa Permata Sari\",\"doi\":\"10.21512/humaniora.v13i2.7769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"However, research that focused on testing the role of decision-making on life satisfaction was still limited, even though almost every aspect of human life involves decision-making, and the results could determine one's life situation. There were prior studies that attempted to explore the relationships between life satisfaction and decision-making; however, the results were not conclusive. Therefore, the research aimed to test the relationship between decision-making styles and life satisfaction. Convenience sampling was used in data collection, and 154 university students participated in the research. It used a cross-sectional survey design to test the research hypothesis. The survey consisted of research information, informed consent, demographic, and measuring instrument for research variables. Decision-making styles are measured using General Decision-Making Styles and Maximizing Scale. Life satisfaction was measured using the Satisfaction with Life Scale. The result of multiple linear regression analysis shows that rational decision-making style and tendency to satisfice significantly predict higher levels of life satisfaction, while spontaneous decision-making style and tendency to maximize predict lower levels of life satisfaction. On the other hand, intuitive, dependent, and avoidant decision-making styles do not significantly predict life satisfaction. The implication and direction for future research are discussed. \",\"PeriodicalId\":30545,\"journal\":{\"name\":\"Humaniora\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Humaniora\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21512/humaniora.v13i2.7769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Humaniora","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21512/humaniora.v13i2.7769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decision-Making and Life Satisfaction: The Role of General Decision-Making Styles and Maximizing Tendency as Predictors
However, research that focused on testing the role of decision-making on life satisfaction was still limited, even though almost every aspect of human life involves decision-making, and the results could determine one's life situation. There were prior studies that attempted to explore the relationships between life satisfaction and decision-making; however, the results were not conclusive. Therefore, the research aimed to test the relationship between decision-making styles and life satisfaction. Convenience sampling was used in data collection, and 154 university students participated in the research. It used a cross-sectional survey design to test the research hypothesis. The survey consisted of research information, informed consent, demographic, and measuring instrument for research variables. Decision-making styles are measured using General Decision-Making Styles and Maximizing Scale. Life satisfaction was measured using the Satisfaction with Life Scale. The result of multiple linear regression analysis shows that rational decision-making style and tendency to satisfice significantly predict higher levels of life satisfaction, while spontaneous decision-making style and tendency to maximize predict lower levels of life satisfaction. On the other hand, intuitive, dependent, and avoidant decision-making styles do not significantly predict life satisfaction. The implication and direction for future research are discussed.