Leonard Adelman, Paul J. Sticha, Michael L. Donnell
{"title":"任务属性在确定多属性加权技术的相对有效性中的作用","authors":"Leonard Adelman, Paul J. Sticha, Michael L. Donnell","doi":"10.1016/0030-5073(84)90023-0","DOIUrl":null,"url":null,"abstract":"<div><p>Most studies comparing the relative effectiveness of multiattribute weighting techniques have found few differences. These studies have, however, failed to systematically vary attribute properties such as number of attributes and distribution of correct attribute weights. It was hypothesized that any weighting technique would be more effective at arriving at the correct weights the smaller the number of attributes because of lessened information processing requirements. In addition, it was hypothesized that the relative effectiveness of different weighting techniques would depend on the peakedness of the distribution of correct attribute weights because different weighting techniques should generate more peaked distributions than others. Two experiments were conducted to test these hypotheses. The first experiment focused on the accuracy of the weights assigned to attributes by individuals; the second on the accuracy of groups. Both experiments confirmed the first hypothesis regarding the number of attributes, but only the first experiment confirmed the second hypothesis regarding the peakedness of the distribution of attribute weights.</p></div>","PeriodicalId":76928,"journal":{"name":"Organizational behavior and human performance","volume":"33 2","pages":"Pages 243-262"},"PeriodicalIF":0.0000,"publicationDate":"1984-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0030-5073(84)90023-0","citationCount":"25","resultStr":"{\"title\":\"The role of task properties in determining the relative effectiveness of multiattribute weighting techniques\",\"authors\":\"Leonard Adelman, Paul J. Sticha, Michael L. Donnell\",\"doi\":\"10.1016/0030-5073(84)90023-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Most studies comparing the relative effectiveness of multiattribute weighting techniques have found few differences. These studies have, however, failed to systematically vary attribute properties such as number of attributes and distribution of correct attribute weights. It was hypothesized that any weighting technique would be more effective at arriving at the correct weights the smaller the number of attributes because of lessened information processing requirements. In addition, it was hypothesized that the relative effectiveness of different weighting techniques would depend on the peakedness of the distribution of correct attribute weights because different weighting techniques should generate more peaked distributions than others. Two experiments were conducted to test these hypotheses. The first experiment focused on the accuracy of the weights assigned to attributes by individuals; the second on the accuracy of groups. Both experiments confirmed the first hypothesis regarding the number of attributes, but only the first experiment confirmed the second hypothesis regarding the peakedness of the distribution of attribute weights.</p></div>\",\"PeriodicalId\":76928,\"journal\":{\"name\":\"Organizational behavior and human performance\",\"volume\":\"33 2\",\"pages\":\"Pages 243-262\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0030-5073(84)90023-0\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organizational behavior and human performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0030507384900230\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organizational behavior and human performance","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0030507384900230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The role of task properties in determining the relative effectiveness of multiattribute weighting techniques
Most studies comparing the relative effectiveness of multiattribute weighting techniques have found few differences. These studies have, however, failed to systematically vary attribute properties such as number of attributes and distribution of correct attribute weights. It was hypothesized that any weighting technique would be more effective at arriving at the correct weights the smaller the number of attributes because of lessened information processing requirements. In addition, it was hypothesized that the relative effectiveness of different weighting techniques would depend on the peakedness of the distribution of correct attribute weights because different weighting techniques should generate more peaked distributions than others. Two experiments were conducted to test these hypotheses. The first experiment focused on the accuracy of the weights assigned to attributes by individuals; the second on the accuracy of groups. Both experiments confirmed the first hypothesis regarding the number of attributes, but only the first experiment confirmed the second hypothesis regarding the peakedness of the distribution of attribute weights.