{"title":"实验与准实验:它们能得出相同的答案吗?","authors":"W. Shadish, D. T. Heinsman","doi":"10.1037/E495592006-008","DOIUrl":null,"url":null,"abstract":"Life would be ever so much easier if quasi-experiments yielded just as good causal inferences as randomized experiments. Of course, the term \"quasi-experiment\" covers a multitude of designs. Here it refers to the workhorse of the quasi-experimental design literature: the nonequivalent control group design that includes a treatment group, a control group not receiving treatment, and a posttest for both, but where the assignment of subjects to conditions is not controlled by the researcher, and is certainly not random.","PeriodicalId":76229,"journal":{"name":"NIDA research monograph","volume":"170 1","pages":"147-64"},"PeriodicalIF":0.0000,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Experiments versus quasi-experiments: do they yield the same answer?\",\"authors\":\"W. Shadish, D. T. Heinsman\",\"doi\":\"10.1037/E495592006-008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Life would be ever so much easier if quasi-experiments yielded just as good causal inferences as randomized experiments. Of course, the term \\\"quasi-experiment\\\" covers a multitude of designs. Here it refers to the workhorse of the quasi-experimental design literature: the nonequivalent control group design that includes a treatment group, a control group not receiving treatment, and a posttest for both, but where the assignment of subjects to conditions is not controlled by the researcher, and is certainly not random.\",\"PeriodicalId\":76229,\"journal\":{\"name\":\"NIDA research monograph\",\"volume\":\"170 1\",\"pages\":\"147-64\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NIDA research monograph\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1037/E495592006-008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NIDA research monograph","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1037/E495592006-008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experiments versus quasi-experiments: do they yield the same answer?
Life would be ever so much easier if quasi-experiments yielded just as good causal inferences as randomized experiments. Of course, the term "quasi-experiment" covers a multitude of designs. Here it refers to the workhorse of the quasi-experimental design literature: the nonequivalent control group design that includes a treatment group, a control group not receiving treatment, and a posttest for both, but where the assignment of subjects to conditions is not controlled by the researcher, and is certainly not random.