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Experimental closure
Explanations > Social Research > Articles > Experimental closure Experimental closure | Theoretical closure | Statistical closure | See also
Closure is sought in scientific experiments in order to assure the ability to make causal assignments. Experiments change one variable and identify changes in limited number of other variables. Closure in an experimental situation is gained by one of three ways: Experimental closureThis is separating people from 'the street' context and putting them in contexts where responses to specific stimuli can be measured - in particular laboratory conditions. It is impossible to do perfectly, because there are always influences that affect people. Theoretical closureThis uses approaches such as econometric models, where everything is reduce to equations or simplified models. It is useful for exploration and modeling, but also is imperfect in an open-systems world and hence can be wildly wrong, as many economic predictions have proven. Statistical closureWhere you cannot explore a complete population, then samples may be taken. Statistics can be used to indicate the 'statistically significant'. Thus 'p<0.05' means 'less than a 5% chance of being wrong'. As a rule, experiments either go for a 5% or 1% boundary. If an experimenter can get under this hurdle, they can declare their results 'statistically significant.' See also |
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Site Menu |
| Home | Top | Quick Links | Settings | |
Main sections: | Disciplines | Techniques | Principles | Explanations | Theories | |
Other sections: | Blog! | Quotes | Guest articles | Analysis | Books | Help | |
More pages: | Contact | Caveat | About | Students | Webmasters | Awards | Guestbook | Feedback | Sitemap | Changes | |
Settings: | Computer layout | Mobile layout | Small font | Medium font | Large font | Translate | |
| Home | Top | Menu | Quick Links | |
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