{"title":"An Investigation of Retirement Expectation among Medical Technologists in Korea","authors":"Yoon-kyung Jo, D. Lee, H. Sung","doi":"10.15324/KJCLS.2017.49.2.171","DOIUrl":null,"url":null,"abstract":"This study investigated the influence factors of retirement expectations among medical technologists at medical centers in Seoul and Gyeonggi area, Korea. Subjects were 158 medical technologists. Using a sampling survey method, data was analyzed between July 2015 and December 2016. There was a negative correlation between educational level and economic preparation, but gender and monthly income did not reach retirement expectation level. Conversely, we found no change in the trends with respect to gender, monthly income; nonetheless, we observed that frustration gradually increased with age and working duration. In conclusion, our findings show that there are four factors that significantly influence retirement expectation and preparation: age, level of education, working duration, and family condition. This study contributes to understanding retirement expectations and can be a reference for retirement preparation in medical technologists.","PeriodicalId":10080,"journal":{"name":"临床检验杂志","volume":"49 1","pages":"171-179"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"临床检验杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.15324/KJCLS.2017.49.2.171","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 study investigated the influence factors of retirement expectations among medical technologists at medical centers in Seoul and Gyeonggi area, Korea. Subjects were 158 medical technologists. Using a sampling survey method, data was analyzed between July 2015 and December 2016. There was a negative correlation between educational level and economic preparation, but gender and monthly income did not reach retirement expectation level. Conversely, we found no change in the trends with respect to gender, monthly income; nonetheless, we observed that frustration gradually increased with age and working duration. In conclusion, our findings show that there are four factors that significantly influence retirement expectation and preparation: age, level of education, working duration, and family condition. This study contributes to understanding retirement expectations and can be a reference for retirement preparation in medical technologists.