{"title":"信息分析中严密性属性的度量","authors":"Daniel J. Zelik, E. Patterson, David D. Woods","doi":"10.1201/9781315593173-7","DOIUrl":null,"url":null,"abstract":"Information analysis describes the process of “making inferences from available data” and determining “the best explanation for uncertain, contradictory, and/or incomplete data” (Trent, Patterson, & Woods, 2007, p. 76). It is an accumulation and interpretation of evidence to support decision making (Heuer, 1999; Schum, 1987). And it represents an active, goaldirected, and often technologically mediated, sensemaking activity (Klein, Phillips, Rall, & Peluso, 2007).","PeriodicalId":445126,"journal":{"name":"Macrocognition Metrics and Scenarios","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Measuring Attributes of Rigor in Information Analysis\",\"authors\":\"Daniel J. Zelik, E. Patterson, David D. Woods\",\"doi\":\"10.1201/9781315593173-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Information analysis describes the process of “making inferences from available data” and determining “the best explanation for uncertain, contradictory, and/or incomplete data” (Trent, Patterson, & Woods, 2007, p. 76). It is an accumulation and interpretation of evidence to support decision making (Heuer, 1999; Schum, 1987). And it represents an active, goaldirected, and often technologically mediated, sensemaking activity (Klein, Phillips, Rall, & Peluso, 2007).\",\"PeriodicalId\":445126,\"journal\":{\"name\":\"Macrocognition Metrics and Scenarios\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Macrocognition Metrics and Scenarios\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9781315593173-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macrocognition Metrics and Scenarios","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781315593173-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring Attributes of Rigor in Information Analysis
Information analysis describes the process of “making inferences from available data” and determining “the best explanation for uncertain, contradictory, and/or incomplete data” (Trent, Patterson, & Woods, 2007, p. 76). It is an accumulation and interpretation of evidence to support decision making (Heuer, 1999; Schum, 1987). And it represents an active, goaldirected, and often technologically mediated, sensemaking activity (Klein, Phillips, Rall, & Peluso, 2007).
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