Ðeɖeɖe ƒe kpɔɖeŋu me, ɣeyiɣi nenie nye be ŋuɖoɖo ƒe ɣeyiɣi nakpɔ ŋu?

Ŋkeke xoxowo tso Hamsher kple Benton gbɔ, siwo ƒe abstract la ɖo be woƒe nyawo dze nuɖoɖo la ƒe nɔnɔme ko ŋu. Ele be womeɖe wo ayi browser game yeye me abe ŋuɖoɖo si dzra dɔwɔwɔ la ƒe ŋuɖoɖo vɔ̃ɖi ene o. Ŋuɖoɖo ƒe kpɔɖeŋu kple dzidzenu ƒe ŋusẽ le nu vovovo me: ŋuɖoɖo ƒe kpɔɖeŋu ku ɖe score si woɖo ɖe go me la ƒe ŋuɖoɖo kple esiwo woate ŋu agbugbɔ adze ŋu, eye ŋusẽ ku ɖe mɔ si me woate ŋu akpɔ nuɖeɖe si woɖo ɖe go me la ŋu. Woƒe biabiawo le vovovo me, gake woƒle kple wo nɔ. de S. Hamsher et al., 1977 Miller, 2023

Nu ka ta dɔa wɔwɔ zi geɖe nɔa dɔwɔwɔ la ŋu

Ne kpɔɖeŋuwo nye ɖoɖo vovo siwo wòle wo dome, eye woƒe dzɔdzɔme megatrɔ o la, woate ŋu akpɔ be woƒe mean ƒe standard error nye kpɔɖeŋu ƒe standard deviation si woɖe ƒe ɖeɖe me le kpɔɖeŋu ƒe xexeme ƒe square root nu. Kpɔɖeŋu ƒe zi ene la dze formula sia. Gake ɖoɖo siawo ate ŋu anye gbegblẽ le ɖoɖo vovowo me, elabena amewo le nu srɔ̃m, ŋɔdzɔ le wo ŋu alo woƒe mɔ sesẽa. Eya ta kpɔɖeŋu ƒe ŋkeke ƒe akɔnta nye model, menye ɖoɖo si ka ɖe score si atrɔ o la ŋu o. Miller, 2023

Kpɔɖeŋu ƒe ŋkeke ŋuti dzɔdzɔmeɖeɖe yeye la hã fia be dɔa wɔwɔ ate ŋu atrɔ ŋusẽ ƒe nuɖeɖeawo. Kpɔɖeŋu geɖe meɖea be kpɔɖeŋu gbãtɔ si megatrɔ o la ƒe kopiwo geɖe ko vɛ o. Dɔwɔwɔ ƒe ɖoɖo ɖeka ele be woatia nuɖeɖe si woɖo ta, eye woakpɔ dɔa ƒe nɔnɔme le dɔwɔwɔ ƒe ɣeyiɣi blibo la me. Miller, 2023

Ŋuɖoɖo ƒe kpɔɖeŋu kae nèdi?

Nɔnɔme ɖeka le dɔwɔwɔ ɖeka me vovoa nɔnɔme le ŋkeke vovowo me alo ame geɖe ƒe ƒeɖeɖe me. Ŋuɖoɖo ƒe kpɔɖeŋu paradox ŋuti nuŋlɔɖiwo ɖe alesi dɔwɔwɔwo ate ŋu ana ame geɖe ƒe dzɔdzɔme hã la, gake woƒe nɔnɔme le ame ɖeka ɖeka ƒe vovototo me la ate ŋu nanyo o. Stroop alo ŋuɖoɖo ƒe ŋusẽ si sɔ ɖe ame geɖe ŋu la mena be score kpui aɖe nate ŋu azãe afia ame ɖeka ƒe percentile o. Hedge et al., 2017

Mean, median kple minimum ɖoa biabia vovowo ŋu

Ŋuɖoɖo si tsɔa ɣeyiɣi sue wu la na dzesi vovovo tso dɔwɔwɔ ƒe mean ŋu. Etsɔa ŋusẽ ɖe mɔ si me nèkpɔ nuwɔwɔ ƒe mɔ geɖe ŋu. Ŋuɖoɖo si tsɔa ɣeyiɣi didi la ate ŋu aɖe mean ɖe dzi, eye woɖe wo ɖa ne woƒo nuɖoɖo ɖe ta ŋu la ate ŋu agblẽ nuɖoɖo la. Ŋuɖoɖo ƒe ɣeyiɣi vɔ̃ɖiwo ŋuti dzɔdzɔmeɖeɖe la fia be ele be woana score ƒe mɔ nɔ te, hafi woaɖo dɔwɔwɔ vovowo ƒe nuɖeɖewo ɖe ɖekae. Ratcliff, 1993

Aƒetɔ ƒe dɔdɔme ŋuti dzɔdzɔmeɖeɖe la fia nu si ta nuɖeɖe si woatia la le vevie: psychomotor vigilance dɔwɔla woƒle ŋuɖoɖo siwo le ɣeyiɣi didi me kple ŋuɖoɖo vɔ̃ɖiwo le ŋuɖoɖo ƒe ɣeyiɣi tsitotsito ƒe akɔnta ŋu. Game tsitotsito si na nuwɔwɔ nyui aɖe le nuwɔwɔ geɖe me la mate ŋu aɖo be wòle aƒetɔ ƒe dɔdɔme vɔ̃ ŋu kpɔɖeŋu abe ŋuɖoɖo ƒe dɔwɔwɔ si ɖoa ŋku ɖe nuwo ŋu ɣeyiɣi didi ene o. Basner et al., 2011

Nu kae trɔa kpɔɖeŋu ƒe ŋkeke siwo hiã la?

Device jitter tsɔa vovototo kpe ɖe score ŋu, eye device ƒe ɣeyiɣi didi si nɔ te la tsɔa bias kpe ɖe eŋu. Kpɔɖeŋu geɖe ate ŋu akpe ɖe gbãtɔ ŋu, gake womate ŋu atsɔa nuɖoɖo ƒe ɣeyiɣi si nɔ te la ɖe eŋu o. Ŋuɖoɖo ƒe ɣeyiɣi kpɔkpɔ kple laboratory calibration ƒe nuɖeɖeawo ɖo be ele vevie be woatso vovototo le nuƒoƒo siawo dome. Anwyl-Irvine et al., 2020 Bridges et al., 2020 Woods et al., 2015

Ne èle kpɔɖeŋu ɖem ɖe ŋku, tia nuɖoɖo si woate ŋu awɔ, zã kpɔɖeŋu ƒe xexeme ma ke ɣesiaɣi, eye ŋlɔ nuwɔwɔ siwo nèwu nu la katã, menye record nyui siwo nèwɔ ko o. Zã esia abe mɔ si me woaɖo nuwo ɖe ɖekae ene, menye ɖoɖo si me woɖe kpɔɖeŋu minimum si hiã na dɔwɔwɔ aɖe ene o. Ne taɖodzinu la nye be nàkpɔ ame geɖe ƒe percentile le dzɔdzɔmeɖeɖe me la, dɔwɔwɔ la hiã norma sample si le ame siwo le nya me nyuie, eye wòhiã ŋuɖoɖo ƒe kpɔɖeŋu kple kpɔɖeŋu si le eteƒe nyuie hã. Hedge et al., 2017 Miller, 2023

Age, nuɖoɖo kple aƒetɔ ƒe dɔdɔme hã ate ŋu atrɔ dɔwɔwɔ le ɣeyiɣi ɖeka me alo le ɣeyiɣi vovowo dome. Ne nɔnɔmewo nɔ te le susu me la, esia na woate ŋu ase nuɖeɖe la nyuie, gake standardisation ƒe nuwɔwɔ aɖeke mate ŋu atrɔ browser ƒe nuɖeɖe wòanye kliniki ƒe kpɔkpɔ o. Woods et al., 2015 Basner et al., 2011