1978
DOI: 10.1037/0003-066x.33.5.517.a
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An exercise in mega-silliness.

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Cited by 403 publications
(155 citation statements)
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“…Viewing the Smith et al meta-analysis this way, the argument "garbage-in-garbage-out" (Eysenck, 1978) is not only trite but beside the point. Such a judgment reveals that its author can not conceive of treating design properties as something that can be empirically studied rather than merely debated.…”
Section: The Quality-of-study Problemmentioning
confidence: 99%
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“…Viewing the Smith et al meta-analysis this way, the argument "garbage-in-garbage-out" (Eysenck, 1978) is not only trite but beside the point. Such a judgment reveals that its author can not conceive of treating design properties as something that can be empirically studied rather than merely debated.…”
Section: The Quality-of-study Problemmentioning
confidence: 99%
“…Such a judgment reveals that its author can not conceive of treating design properties as something that can be empirically studied rather than merely debated. In this respect, Eysenck's (1978) claim that Smith and Glass advocated "low standards" for research quality and "abandoned scholarship" can be understood as the opinion of one to whom methodology is dogma.…”
Section: The Quality-of-study Problemmentioning
confidence: 99%
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“…Those on the receiving end have rejected what they see as exercises in 'mega-silliness' 16 , and the authors of a highly distinguished series of systematic reviews of care during pregnancy and childhood 17 have been dubbed as terrorists ('an obstetrical Baader-Meinhof gang' 18 ). Some statisticians think that metaanalysis 'represents the unacceptable face of statisticism' 19 and to clinicians objecting to the findings of meta-analyses 'a tool has become a weapon' 20 .…”
Section: Problems and Limitationsmentioning
confidence: 99%
“…There have been many critics of meta-analysis (for example, Eysenck 1978, Shapiro 1994, Feinstein 1995, Berk and Freedman 2003. 16 The standard literature on meta-analysis is based on data from an experimental design using a common treatment with the same effect size metric based on means, response ratios and odds-or risk-ratios; estimates derived from multivariate methods, typically from studies using quasi-experimental data, can be included in meta-analysis, but, as noted above, because the different studies will often not have the same sets of covariates, the interpretation of results becomes more problematic (Becker and Wu 2007).…”
Section: Meta-analysismentioning
confidence: 99%