{"title":"The Effect of Survey Design on Extreme Response Style: Rating Job Satisfaction","authors":"L. Corrado, Majlinda Joxhe","doi":"10.2139/ssrn.2729389","DOIUrl":null,"url":null,"abstract":"This paper explores the relationship between survey rating scale and Extreme Response Style (ERS) using experimental data from Understanding Society (Innovation Panel 2008), where a self-assessment questionnaire measuring job satisfaction uses two alternative (7 and 11 points) rating options. Our results suggests that when shifting from a shorter to a longer scale, the survey design generates a tendency to choose response scales at the extreme of the distribution, thus creating a misleading quantification of the variable of interest. The experimental design of the data enables us to test our hypothesis using a non-linear estimation approach where age, gender and education level are shown to affect ERS.","PeriodicalId":416571,"journal":{"name":"CEIS: Centre for Economic & International Studies Working Paper Series","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CEIS: Centre for Economic & International Studies Working Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2729389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper explores the relationship between survey rating scale and Extreme Response Style (ERS) using experimental data from Understanding Society (Innovation Panel 2008), where a self-assessment questionnaire measuring job satisfaction uses two alternative (7 and 11 points) rating options. Our results suggests that when shifting from a shorter to a longer scale, the survey design generates a tendency to choose response scales at the extreme of the distribution, thus creating a misleading quantification of the variable of interest. The experimental design of the data enables us to test our hypothesis using a non-linear estimation approach where age, gender and education level are shown to affect ERS.