{"title":"交互作用","authors":"R. Williams","doi":"10.4135/9781526421036865524","DOIUrl":null,"url":null,"abstract":"This model provides an example of an INTERACTION effect; there is an interaction between gender and occupation; the relationship between gender and income is contingent on the occupation of the individual. The following examples illustrate different types of interactions. The row variable is gender (Male or Female), the column variable is type of occupation (A, B, or C). Each cell gives the mean income (in thousands of dollars) for the particular combination of gender and income.","PeriodicalId":243473,"journal":{"name":"SAGE Research Methods Foundations","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Interaction Effects\",\"authors\":\"R. Williams\",\"doi\":\"10.4135/9781526421036865524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This model provides an example of an INTERACTION effect; there is an interaction between gender and occupation; the relationship between gender and income is contingent on the occupation of the individual. The following examples illustrate different types of interactions. The row variable is gender (Male or Female), the column variable is type of occupation (A, B, or C). Each cell gives the mean income (in thousands of dollars) for the particular combination of gender and income.\",\"PeriodicalId\":243473,\"journal\":{\"name\":\"SAGE Research Methods Foundations\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SAGE Research Methods Foundations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4135/9781526421036865524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAGE Research Methods Foundations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4135/9781526421036865524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This model provides an example of an INTERACTION effect; there is an interaction between gender and occupation; the relationship between gender and income is contingent on the occupation of the individual. The following examples illustrate different types of interactions. The row variable is gender (Male or Female), the column variable is type of occupation (A, B, or C). Each cell gives the mean income (in thousands of dollars) for the particular combination of gender and income.