hat
Pou yo kapab klè, dezi a redwi gwosè a nan eksperyans ou pa vle di ke ou pa ta dwe kouri gwo, zewo eksperyans pri varyab. Li jis vle di ke eksperyans ou pa ta dwe nenpòt ki pi gwo pase ou bezwen reyalize objektif syantifik ou. Yon fason enpòtan pou asire ke yon eksperyans ki apwopriye menm gwosè se fè yon analiz pouvwa (Cohen 1988) . Nan laj analogique, chèchè jeneralman te fè analiz pouvwa a asire ke etid yo pa t 'piti (sètadi, anba-Powered). Koulye a, sepandan, chèchè yo ta dwe fè analiz pouvwa asire ke etid yo pa twò gwo (sètadi, sou-mache).
eng
To be clear, the desire to reduce the size of your experiment does not mean that you should not run large, zero variable cost experiments. It just means that your experiments should not be any larger than you need to achieve your scientific objective. One important way to make sure that an experiment is appropriately sized is to conduct a power analysis (Cohen 1988). In the the analog age, researchers generally did power analysis to make sure that their study was not too small (i.e., under-powered). Now, however, researchers should do power analysis to make sure that their study is not too big (i.e., over-powered).