{"id":28669,"date":"2023-07-18T10:31:35","date_gmt":"2023-07-18T13:31:35","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/scientific-prediction-copy\/"},"modified":"2023-07-18T10:37:02","modified_gmt":"2023-07-18T13:37:02","slug":"extraneous-variables","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/lt\/isoriniai-kintamieji\/","title":{"rendered":"I\u0161oriniai kintamieji tyrimuose: Galimos \u012ftakos reguliavimas"},"content":{"rendered":"<p>Moksliniuose tyrimuose labai svarbu kontroliuoti kintamuosius, kad b\u016bt\u0173 u\u017etikrintas rezultat\u0173 pagr\u012fstumas ir patikimumas. Ta\u010diau net ir tiksliausiai parengtiems tyrimams \u012ftakos gali tur\u0117ti pa\u0161aliniai kintamieji, kuriais s\u0105moningai nemanipuliuojama ir \u012f kuriuos neatsi\u017evelgiama, ta\u010diau kurie vis tiek gali tur\u0117ti \u012ftakos tyrimo i\u0161vadoms. Pa\u0161aliniai kintamieji gali prisid\u0117ti prie neteising\u0173 rezultat\u0173, prast\u0173 prognozi\u0173 ir nepakankamo tyrim\u0173 pakartojamumo.&nbsp;<\/p>\n\n\n\n<p>\u0160iame straipsnyje ap\u017evelgsime vis\u0105 svarbi\u0105 informacij\u0105 apie pa\u0161alinius kintamuosius, kod\u0117l jie svarb\u016bs ir su kokiais tipais galite susidurti atlikdami tyrimus.&nbsp;<\/p>\n\n\n\n<h2 id=\"h-what-are-extraneous-variables\">Kas yra pa\u0161aliniai kintamieji?<\/h2>\n\n\n\n<p>I\u0161orinis kintamasis - tai kintamasis, kuriuo moksliniame tyrime n\u0117ra tikslingai manipuliuojama ar kuris n\u0117ra kontroliuojamas, ta\u010diau kuris vis tiek gali tur\u0117ti \u012ftakos tyrimo i\u0161vadoms. Jie gali supainioti arba i\u0161kreipti kintamuosius, daugiausia darydami \u012ftak\u0105 priklausomam (-iems) kintamajam (-iams).<\/p>\n\n\n\n<p>Tai gali pakenkti tyrimo pagr\u012fstumui ir trukdyti daryti tinkamas i\u0161vadas arba daryti pla\u010dius apibendrinimus remiantis rezultatais. Siekdami u\u017etikrinti savo i\u0161vad\u0173 patikimum\u0105 ir pagr\u012fstum\u0105, tyr\u0117jai turi kruop\u0161\u010diai analizuoti ir kontroliuoti pa\u0161alinius kintamuosius.<\/p>\n\n\n\n<p>I\u0161oriniai kintamieji gali atsirasti d\u0117l \u012fvairi\u0173 prie\u017eas\u010di\u0173, \u012fskaitant dalyvi\u0173 skirtumus, eksperimentin\u0117s aplinkos ar aplinkybi\u0173 poky\u010dius ir nekontroliuojam\u0105 aplinkos poveik\u012f.&nbsp;<\/p>\n\n\n\n<h2 id=\"h-why-are-extraneous-variables-important\">Kod\u0117l i\u0161oriniai kintamieji yra svarb\u016bs?<\/h2>\n\n\n\n<p>I\u0161oriniai kintamieji yra svarb\u016bs, nes jie gali tur\u0117ti didel\u0119 \u012ftak\u0105 mokslinio tyrimo rezultatams, nes gali i\u0161kreipti ir paveikti priklausom\u0105 (-us) kintam\u0105j\u012f (-uosius).&nbsp;<\/p>\n\n\n\n<p>Kaip jau min\u0117ta, d\u0117l pa\u0161alini\u0173 kintam\u0173j\u0173, jei jie nenustatomi ir \u012f juos neatsi\u017evelgiama, gali b\u016bti gauti klaidingi arba klaidinantys rezultatai, o tai gali tur\u0117ti didel\u0117s reik\u0161m\u0117s tolesniems moksliniams tyrimams ir realiam taikymui.<\/p>\n\n\n\n<p>I\u0161oriniai kintamieji gali sukelti \u0161ali\u0161kum\u0105, pvz:<\/p>\n\n\n\n<ul>\n<li><strong>Nubyr\u0117jimo \u0161ali\u0161kumas:<\/strong> Pasitaiko, kai pasitrauk\u0119 tyrimo dalyviai sistemingai skiriasi nuo pasilikusi\u0173j\u0173;<\/li>\n\n\n\n<li><strong>Nepakankamas \u0161ali\u0161kumas: <\/strong>Pasitaiko, kai imtyje n\u0117ra tam tikros r\u016b\u0161ies populiacijos individ\u0173;<\/li>\n\n\n\n<li><strong>Neatsakymo \u0161ali\u0161kumas:<\/strong> Pasitaiko, kai neatsakiusi\u0173j\u0173 \u012f apklausos klausimus skai\u010dius reik\u0161mingai skiriasi nuo atsakiusi\u0173j\u0173;<\/li>\n\n\n\n<li><a href=\"https:\/\/mindthegraph.com\/blog\/sampling-bias\/\"><strong>Atrankos \u0161ali\u0161kumas<\/strong><\/a><strong>, taip pat \u017einomas kaip nustatymo \u0161ali\u0161kumas:<\/strong> Pasitaiko, kai vieni tikslin\u0117s populiacijos nariai turi ma\u017eesn\u0119 tikimyb\u0119 b\u016bti \u012ftraukti \u012f tyrim\u0105 nei kiti;<\/li>\n\n\n\n<li><strong>I\u0161gyvenimo \u0161ali\u0161kumas:<\/strong> Pasitaiko, kai tyr\u0117jai daro i\u0161vadas remdamiesi tik s\u0117kming\u0173 \u017emoni\u0173, o ne visos grup\u0117s atvejais.<\/li>\n<\/ul>\n\n\n\n<p>Tyr\u0117jai gali pad\u0117ti u\u017etikrinti savo i\u0161vad\u0173 pagr\u012fstum\u0105 ir patikimum\u0105 tinkamai nustatydami ir koreguodami pa\u0161alinius kintamuosius. Tai rei\u0161kia, kad reikia suma\u017einti arba pa\u0161alinti pa\u0161alini\u0173 kintam\u0173j\u0173 poveik\u012f taikant eksperimentin\u012f plan\u0105 (pvz., atsitiktin\u0117s atrankos metod\u0105, atsvar\u0105) arba statistin\u0119 analiz\u0119. (\u012ftraukiant pa\u0161alinius kintamuosius kaip kovariatus). Taip elgdamiesi tyr\u0117jai gali padidinti pasitik\u0117jim\u0105 tyrimo rezultatais ir pateikti tikslesn\u0119 ir vertingesn\u0119 informacij\u0105 mokslo bendruomenei.<\/p>\n\n\n\n<h2 id=\"h-what-are-the-types-of-extraneous-variables\">Kokios yra pa\u0161alini\u0173 kintam\u0173j\u0173 r\u016b\u0161ys?<\/h2>\n\n\n\n<p>Yra \u012fvairi\u0173 r\u016b\u0161i\u0173 pa\u0161alini\u0173 kintam\u0173j\u0173, kurie gali tur\u0117ti \u012ftakos mokslini\u0173 tyrim\u0173 rezultatams. \u0160tai keletas pavyzd\u017ei\u0173:<\/p>\n\n\n\n<h3 id=\"h-demand-characteristics-variable\">Paklausos charakteristik\u0173 kintamasis<\/h3>\n\n\n\n<p>Tai i\u0161orinis kintamasis, kuris atsiranda, kai tyrimo dalyviai kei\u010dia savo elges\u012f ar reakcijas d\u0117l eksperimento metu pateikt\u0173 u\u017euomin\u0173 ar l\u016bkes\u010di\u0173. Pavyzd\u017eiui, jei dalyviai jau\u010dia, kad i\u0161 j\u0173 tikimasi tam tikro elgesio ar reakcijos, jie gali atitinkamai pakoreguoti savo elges\u012f.<\/p>\n\n\n\n<h3 id=\"h-situational-variables\">Situacijos kintamieji<\/h3>\n\n\n\n<p>\u0160ie<strong> <\/strong>tai i\u0161oriniai kintamieji, atsirandantys d\u0117l eksperimentin\u0117s aplinkos ar aplinkos element\u0173. Pavyzd\u017eiui, temperat\u016bros, ap\u0161vietimo ar triuk\u0161mo lygio poky\u010diai gali tur\u0117ti \u012ftakos tyrimo rezultatams, kaip ir kit\u0173 asmen\u0173 ar trukd\u017ei\u0173 buvimas aplinkoje.<\/p>\n\n\n\n<h3 id=\"h-participant-variables\">Dalyvio kintamieji<\/h3>\n\n\n\n<p>Individual\u016bs dalyvi\u0173 skirtumai, kurie, jei \u012f juos neatsi\u017evelgiama, gali tur\u0117ti \u012ftakos tyrimo rezultatams. Galima atsi\u017evelgti \u012f demografines charakteristikas, tokias kaip am\u017eius, lytis ir etnin\u0117 kilm\u0117, taip pat \u012f psichologines charakteristikas, tokias kaip asmenyb\u0117s bruo\u017eai, kognityviniai geb\u0117jimai ar nuotaika.<\/p>\n\n\n\n<h3 id=\"h-experimenter-variable\">Eksperimentatoriaus kintamasis<\/h3>\n\n\n\n<p>Eksperimentatoriaus kintamieji skirstomi \u012f dvi kategorijas. Pirmoji - eksperimentatori\u0173 s\u0105veika su dalyviais gali nety\u010dia paveikti j\u0173 elges\u012f, o tai yra analogi\u0161ka paklausos charakteristik\u0173 kintamajam. Antrasis veiksnys - galimas eksperimentatoriaus sukeltas matavimo, steb\u0117jimo, analiz\u0117s ar interpretavimo \u0161ali\u0161kumas gali pakeisti tyrimo rezultatus.<\/p>\n\n\n\n<h3 id=\"h-methodological-variables\">Metodiniai kintamieji<\/h3>\n\n\n\n<p>Tyrimo technikos ar proces\u0173 skirtumai, pavyzd\u017eiui, matavimo \u012frangos ar duomen\u0173 rinkimo metod\u0173 nuokrypiai, gali b\u016bti pa\u0161aliniai kintamieji, darantys \u012ftak\u0105 i\u0161vadoms.<\/p>\n\n\n\n<h3 id=\"h-time-variables\">Laiko kintamieji<\/h3>\n\n\n\n<p>Laiko kintamieji, pavyzd\u017eiui, paros laikas arba savait\u0117s diena, gali b\u016bti pa\u0161aliniai veiksniai, darantys \u012ftak\u0105 tyrimo rezultatams.<\/p>\n\n\n\n<h3 id=\"h-task-variables\">U\u017eduoties kintamieji<\/h3>\n\n\n\n<p>Tyrime naudotos u\u017eduoties ar stimulo savyb\u0117s, pavyzd\u017eiui, sud\u0117tingumas ar \u017einomumas, gali b\u016bti pa\u0161aliniai kintamieji, darantys \u012ftak\u0105 tyrimo rezultatams.<\/p>\n\n\n\n<h2 id=\"h-how-to-control-extraneous-variables\">Kaip kontroliuoti pa\u0161alinius kintamuosius?<\/h2>\n\n\n\n<p>\u0160tai keletas paprast\u0173 veiksm\u0173, kuri\u0173 gali imtis tyr\u0117jai, nor\u0117dami kontroliuoti nekontroliuojamus kintamuosius:<\/p>\n\n\n\n<h3>1. Nustatyti galimus nereikalingus kintamuosius<\/h3>\n\n\n\n<p>Tyr\u0117jai tur\u0117t\u0173 atid\u017eiai i\u0161analizuoti visus galimus veiksnius, galin\u010dius tur\u0117ti \u012ftakos tyrimo rezultatams, ir nustatyti tuos, kurie yra pa\u0161aliniai.<\/p>\n\n\n\n<h3>2. Kontrol\u0117s metodas<\/h3>\n\n\n\n<p>Nusta\u010dius, kokie pa\u0161aliniai kintamieji daro \u012ftak\u0105 j\u016bs\u0173 tyrimui, galite pasirinkti kontrol\u0117s metod\u0105. Metodai siejami su tam tikra kintam\u0173j\u0173 kategorija, tod\u0117l paprasta pasirinkti, kur\u012f metod\u0105 taikyti. Prie kontrol\u0117s metod\u0173 priskiriami \u0161ie metodai:<\/p>\n\n\n\n<h4 id=\"h-standardized-procedures\">Standartizuotos proced\u016bros<\/h4>\n\n\n\n<p>\u0160is metodas susij\u0119s su situacijos, laiko, u\u017eduoties ir paklausos charakteristik\u0173 kintamaisiais, kurie atsiranda viso tyrimo metu. Sukurkite standartines priemones, kad visiems dalyviams b\u016bt\u0173 sukurta nuosekli aplinka.<\/p>\n\n\n\n<h4 id=\"h-counterbalancing\">Atsvara<\/h4>\n\n\n\n<p>\u0160is po\u017ei\u016bris susij\u0119s su dalyvi\u0173 kintamaisiais, pavyzd\u017eiui, konkre\u010dia tyrimo \u012fvyki\u0173 eil\u0117s tvarka. Kad \u012f tai atsi\u017evelgtum\u0117te, galite nurodyti vienai dalyvi\u0173 grupei baigti skyri\u0173, o kitai grupei baigti kit\u0105 skyri\u0173.<\/p>\n\n\n\n<h4 id=\"h-random-sampling\">Atsitiktin\u0117 atranka<\/h4>\n\n\n\n<p>\u0160is metodas susij\u0119s su dalyvi\u0173 kintamaisiais ir u\u017etikrina, kad visi dalyviai tur\u0117t\u0173 vienod\u0105 tikimyb\u0119 b\u016bti atrinkti. Pavyzd\u017eiui, skirstydami \u017emones \u012f kontrolin\u0119 ir eksperimentin\u0119 grup\u0119, galite atsitiktine tvarka i\u0161traukti vardus ir pavardes, kad u\u017etikrintum\u0117te, jog kiekvienas asmuo turi vienod\u0105 tikimyb\u0119 patekti \u012f bet kuri\u0105 grup\u0119.<\/p>\n\n\n\n<h4 id=\"h-masking\">Maskavimas<\/h4>\n\n\n\n<p>\u0160is metodas susij\u0119s su eksperimentatoriaus kintamaisiais. Maskavimas - tai eksperiment\u0105 atliekantis asmuo, ne\u017einantis tyrimo tikslo.<\/p>\n\n\n\n<h2 id=\"h-the-world-s-largest-scientifically-accurate-illustrations-gallery\">Did\u017eiausia pasaulyje moksli\u0161kai tiksli\u0173 iliustracij\u0173 galerija<\/h2>\n\n\n\n<p><a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a> tai did\u017eiausia pasaulyje moksli\u0161kai tiksli\u0173 iliustracij\u0173 galerija, kurioje gausu iliustracij\u0173 ir grafik\u0173 i\u0161 daugelio mokslo sri\u010di\u0173, pvz., biologijos, chemijos, fizikos ir kt. Paprasta naudoti ir fantasti\u0161kai pagerina j\u016bs\u0173 darbo kokyb\u0119!<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"394\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/12\/3yuqz9n9m78.gif\" alt=\"\" class=\"wp-image-25763\"\/><\/figure><\/div>\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/mindthegraph.com\/\" style=\"border-radius:50px;background-color:#dc1866\" target=\"_blank\" rel=\"noreferrer noopener\">Prad\u0117kite kurti su Mind the Graph<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:44px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Su\u017einokite apie pa\u0161alinius kintamuosius tyrimuose ir j\u0173 kontrol\u0117s b\u016bdus, kad padidintum\u0117te vidin\u012f tyrimo patikimum\u0105.<\/p>","protected":false},"author":28,"featured_media":28672,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - 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Currently developing scientific and intellectual knowledge for the community's benefit. 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