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They’re nearly all very short-term studies (95%), 85% had no measures of behavior in them, and 87% had no pre-test results. It sounds like a solid base from which to draw conclusions: 427 studies with 63,478 participants.īut 84% of the participants are college students, 66% female, and 55% from the USA. Here’s an example of what this means for a body of studies. I looked at this meta-analysis on changing implicit bias when l was researching for a recent blog post. And their responses may not be reliable enough, either. They tend to be, as Joseph Henrich and colleagues pointed out, “the weirdest people in the world”: from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. For example, many areas of psychology research are particularly prone to bias because of their populations: often volunteers rather than a sample selected to reduce bias, college students, or drawn from the internet or Mechanical Turk. The process should include systematic critical assessment of the quality of study design and risk of bias in the data as well. Unreliable study results can fatally tilt results in a meta-analysis in misleading directions.Īnd psychology research can have a very high risk of bias. Systematic reviewing doesn’t just gather and crunch numbers from multiple studies. They forked off down the path of embedding meta-analysis in systematic reviewing – so much so, that many people mistake “meta-analysis” and “systematic review” as synonyms.īut they’re not. Pretty soon, medical researchers realized it could be “a key element in improving individual research efforts and their reporting”. It’s the process of combining and analyzing data from more than one study at a time (more here). Meta-analysis was born in the late 1970s in educational psychology. It’s a bit of a case of a prophet not being recognized in its hometown. Meta-analyses are wallpapering over many research weaknesses, instead of being used to systematically pinpoint them. And that’s contributing to its reproducibility problem.

#Comprehensive meta analysis serial serial

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