{"title":"PERSONALITY AND LIFESTYLE INTERPRETS EXTERNAL CONDITION TO ENVIRONMENTAL BEHAVIOURS","authors":"A. A. Bakar, Mariana Mohamed Osman, M. Hitam","doi":"10.21837/pm.v18i11.709","DOIUrl":null,"url":null,"abstract":"Personality and lifestyles frame individuals’ interpretation of situational information; as such, the encouragement, convenience and reinforcement to behave more environmentally. Issue: Existing research lack empirical evidence on the influence of personality and lifestyle (PL) on external condition (EC) to environmental behaviours. Purpose: This paper aims to verify the statistical predictability of EC based on PL. Approach: Multiple Correlation and Multiple Linear Regression were carried out to assess linear associations and parameters of linear equations to predict EC components based on PL items. Findings: EC components were predictable by some of the PL items. In particular, ‘urging media to raise environmental awareness’ was the strongest predictor of EC.","PeriodicalId":223592,"journal":{"name":"PLANNING MALAYSIA JOURNAL","volume":" 27","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLANNING MALAYSIA JOURNAL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21837/pm.v18i11.709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Personality and lifestyles frame individuals’ interpretation of situational information; as such, the encouragement, convenience and reinforcement to behave more environmentally. Issue: Existing research lack empirical evidence on the influence of personality and lifestyle (PL) on external condition (EC) to environmental behaviours. Purpose: This paper aims to verify the statistical predictability of EC based on PL. Approach: Multiple Correlation and Multiple Linear Regression were carried out to assess linear associations and parameters of linear equations to predict EC components based on PL items. Findings: EC components were predictable by some of the PL items. In particular, ‘urging media to raise environmental awareness’ was the strongest predictor of EC.