{"title":"部捐助信息系统的内部和外部二级数据源","authors":"Vernon Q. Murray","doi":"10.1300/J093V03N01_06","DOIUrl":null,"url":null,"abstract":"Abstract This paper explains how basic statistics, content analysis and regression and correlation analysis may be combined to produce measures that indicate changes in donor-appeal-letter sensitivity and donor commitment over time. It also explains how donor sensitivities to certain issues may be discovered by incorporating demographic and lifestyle statistics by zip code.","PeriodicalId":109742,"journal":{"name":"Journal of Customer Service in Marketing and Management","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"In-House and External Secondary Data Sources for a Ministry Donor Information System\",\"authors\":\"Vernon Q. Murray\",\"doi\":\"10.1300/J093V03N01_06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper explains how basic statistics, content analysis and regression and correlation analysis may be combined to produce measures that indicate changes in donor-appeal-letter sensitivity and donor commitment over time. It also explains how donor sensitivities to certain issues may be discovered by incorporating demographic and lifestyle statistics by zip code.\",\"PeriodicalId\":109742,\"journal\":{\"name\":\"Journal of Customer Service in Marketing and Management\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Customer Service in Marketing and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1300/J093V03N01_06\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Customer Service in Marketing and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1300/J093V03N01_06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In-House and External Secondary Data Sources for a Ministry Donor Information System
Abstract This paper explains how basic statistics, content analysis and regression and correlation analysis may be combined to produce measures that indicate changes in donor-appeal-letter sensitivity and donor commitment over time. It also explains how donor sensitivities to certain issues may be discovered by incorporating demographic and lifestyle statistics by zip code.