{"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\/et\/ekstra-variable\/","title":{"rendered":"Teadusuuringute v\u00e4lismuutujad: V\u00f5imalike m\u00f5jutuste reguleerimine"},"content":{"rendered":"<p>Muutujate kontrollimine on teaduslikes uuringutes oluline, et tagada tulemuste kehtivus ja usaldusv\u00e4\u00e4rsus. Isegi k\u00f5ige t\u00e4psemalt ettevalmistatud uuringuid v\u00f5ivad siiski m\u00f5jutada k\u00f5rvalised muutujad, mida ei ole tahtlikult manipuleeritud v\u00f5i arvesse v\u00f5etud, kuid mis v\u00f5ivad sellest hoolimata m\u00f5jutada uurimistulemusi. K\u00f5rvalised muutujad v\u00f5ivad kaasa aidata eba\u00f5igetele tulemustele, halbadele prognoosidele ja teadusuuringute v\u00e4hesele korratavusele.&nbsp;<\/p>\n\n\n\n<p>Selles artiklis k\u00e4sitletakse kogu asjakohast teavet, mis puudutab k\u00f5rvalisi muutujaid, miks need on olulised ja milliste muutujat\u00fc\u00fcpidega v\u00f5ite uuringu l\u00e4biviimisel kokku puutuda.&nbsp;<\/p>\n\n\n\n<h2 id=\"h-what-are-extraneous-variables\">Mis on k\u00f5rvalised muutujad?<\/h2>\n\n\n\n<p>V\u00f5\u00f5ras muutuja on muutuja, mida teaduslikus uuringus ei manipuleerita ega kontrollita sihip\u00e4raselt, kuid mis v\u00f5ib siiski m\u00f5jutada uuringu j\u00e4reldusi. Neil on v\u00f5ime segi ajada v\u00f5i moonutada muutujaid, m\u00f5jutades peamiselt s\u00f5ltuvat muutujat (s\u00f5ltuvaid muutujaid).<\/p>\n\n\n\n<p>See v\u00f5ib ohustada uuringu valiidsust ja kahjustada v\u00f5imet teha asjakohaseid j\u00e4reldusi v\u00f5i teha tulemuste p\u00f5hjal laiaulatuslikke \u00fcldistusi. Tulemuste usaldusv\u00e4\u00e4rsuse ja kehtivuse tagamiseks peavad uurijad hoolikalt anal\u00fc\u00fcsima ja kontrollima k\u00f5rvalisi muutujaid.<\/p>\n\n\n\n<p>V\u00f5\u00f5randlikud muutujad v\u00f5ivad tuleneda mitmest p\u00f5hjusest, sealhulgas osalejate erinevustest, muutustest katsekeskkonnas v\u00f5i -oludes ning kontrollimatutest keskkonnam\u00f5judest.&nbsp;<\/p>\n\n\n\n<h2 id=\"h-why-are-extraneous-variables-important\">Miks on k\u00f5rvalised muutujad olulised?<\/h2>\n\n\n\n<p>V\u00e4lismuutujad on olulised, sest nad v\u00f5ivad oluliselt m\u00f5jutada teadusliku uuringu tulemust, kuna nad v\u00f5ivad moonutada ja m\u00f5jutada s\u00f5ltuvat muutujat (s\u00f5ltuvaid muutujaid).&nbsp;<\/p>\n\n\n\n<p>Nagu eespool \u00f6eldud, v\u00f5ivad k\u00f5rvalised muutujad viia ekslike v\u00f5i eksitavate tulemusteni, kui neid ei tuvastata ja ei v\u00f5eta arvesse, millel v\u00f5ib olla oluline m\u00f5ju edasistele uuringutele ja tegelikele rakendustele.<\/p>\n\n\n\n<p>K\u00f5rvalised muutujad v\u00f5ivad p\u00f5hjustada k\u00f5rvalekaldeid, n\u00e4iteks:<\/p>\n\n\n\n<ul>\n<li><strong>Voolavus:<\/strong> Tekib siis, kui uuringus osalejad, kes lahkuvad, erinevad s\u00fcstemaatiliselt neist, kes j\u00e4\u00e4vad;<\/li>\n\n\n\n<li><strong>Alakattem\u00e4\u00e4ratlus: <\/strong>Tekib siis, kui mingi konkreetne isik teie populatsioonist ei ole valimis esindatud;<\/li>\n\n\n\n<li><strong>Vastamata j\u00e4tmine:<\/strong> Esineb siis, kui need, kes ei vasta uuringule, erinevad oluliselt nendest, kes vastavad;<\/li>\n\n\n\n<li><a href=\"https:\/\/mindthegraph.com\/blog\/sampling-bias\/\"><strong>Valimi erapoolikus<\/strong><\/a><strong>, mida tuntakse ka nime all \"ascertainment bias\":<\/strong> Tekib siis, kui sihtr\u00fchma m\u00f5ned liikmed on v\u00e4hem kaasatud kui teised;<\/li>\n\n\n\n<li><strong>elluj\u00e4\u00e4mise kallutatus:<\/strong> Tekib siis, kui teadlased teevad j\u00e4reldusi \u00fcksnes edukate inimeste, mitte kogu grupi kohta.<\/li>\n<\/ul>\n\n\n\n<p>Teadlased v\u00f5ivad aidata tagada oma tulemuste kehtivuse ja usaldusv\u00e4\u00e4rsuse, kui nad tuvastavad ja korrigeerivad korrektselt k\u00f5rvalisi muutujaid. See t\u00e4hendab, et k\u00f5rvaliste muutujate m\u00f5ju v\u00e4hendatakse v\u00f5i k\u00f5rvaldatakse kas katsekujunduse (nt randomiseerimine, tasakaalustamine) v\u00f5i statistilise anal\u00fc\u00fcsi abil. (nt kaasates k\u00f5rvalised muutujad kovariaatidena). Teadlased saavad sellega suurendada oma usaldust uurimistulemuste suhtes ning anda teaduskogukonnale t\u00e4psemat ja v\u00e4\u00e4rtuslikumat teavet.<\/p>\n\n\n\n<h2 id=\"h-what-are-the-types-of-extraneous-variables\">Millised on v\u00f5\u00f5raste muutujate liigid?<\/h2>\n\n\n\n<p>On mitmesuguseid k\u00f5rvalisi muutujaid, mis v\u00f5ivad m\u00f5jutada teadusliku uuringu tulemust. Need on m\u00f5ned n\u00e4ited:<\/p>\n\n\n\n<h3 id=\"h-demand-characteristics-variable\">N\u00f5udluse tunnusjooned muutuja<\/h3>\n\n\n\n<p>Teistsuguse muutuja t\u00fc\u00fcp, mis tekib siis, kui uuringus osalejad muudavad oma k\u00e4itumist v\u00f5i reaktsioone eksperimendi enda poolt antud vihjete v\u00f5i ootuste tulemusena. N\u00e4iteks kui osalejad tunnevad, et neilt oodatakse teatud viisil k\u00e4itumist v\u00f5i reageerimist, v\u00f5ivad nad oma k\u00e4itumist vastavalt kohandada.<\/p>\n\n\n\n<h3 id=\"h-situational-variables\">Situatsioonilised muutujad<\/h3>\n\n\n\n<p>Need<strong> <\/strong>on k\u00f5rvalised muutujad, mis tekivad katsekeskkonna v\u00f5i -olukorra elementide t\u00f5ttu. N\u00e4iteks temperatuuri, valgustuse v\u00f5i m\u00fcratasemete erinevused v\u00f5ivad m\u00f5jutada uurimistulemusi, nagu ka teiste isikute v\u00f5i h\u00e4irivate asjaolude olemasolu \u00fcmbritsevas keskkonnas.<\/p>\n\n\n\n<h3 id=\"h-participant-variables\">Osalejate muutujad<\/h3>\n\n\n\n<p>Individuaalsed erinevused osalejate vahel, mis v\u00f5ivad m\u00f5jutada uurimistulemusi, kui neid ei v\u00f5eta arvesse. Arvesse v\u00f5ib v\u00f5tta nii demograafilisi omadusi, nagu vanus, sugu ja rahvus, kui ka ps\u00fchholoogilisi omadusi, nagu isiksuseomadused, kognitiivsed v\u00f5imed v\u00f5i meeleolu.<\/p>\n\n\n\n<h3 id=\"h-experimenter-variable\">Eksperimendi muutuja<\/h3>\n\n\n\n<p>Eksperimendi muutujad liigitatakse kahte kategooriasse. Esimene on see, et eksperimentaatorite ja osalejate suhtlemine v\u00f5ib tahtmatult m\u00f5jutada nende k\u00e4itumist, mis on analoogne n\u00f5udluse omaduste muutujaga. Teine tegur on katsetaja poolt m\u00f5\u00f5tmisel, vaatlemisel, anal\u00fc\u00fcsil v\u00f5i t\u00f5lgendamisel p\u00f5hjustatud v\u00f5imalik kallutatus, mis v\u00f5ib muuta uuringu tulemusi.<\/p>\n\n\n\n<h3 id=\"h-methodological-variables\">Metoodilised muutujad<\/h3>\n\n\n\n<p>Uurimistehnika v\u00f5i -protsesside erinevused, n\u00e4iteks m\u00f5\u00f5teseadmete v\u00f5i andmekogumismeetodite k\u00f5rvalekalded, v\u00f5ivad olla k\u00f5rvalised muutujad, mis m\u00f5jutavad j\u00e4reldusi.<\/p>\n\n\n\n<h3 id=\"h-time-variables\">Aja muutujad<\/h3>\n\n\n\n<p>Ajalised muutujad, nagu kellaaeg v\u00f5i n\u00e4dalap\u00e4ev, v\u00f5ivad olla k\u00f5rvalised tegurid, mis m\u00f5jutavad uurimistulemusi.<\/p>\n\n\n\n<h3 id=\"h-task-variables\">\u00dclesande muutujad<\/h3>\n\n\n\n<p>Uuringus kasutatud \u00fclesande v\u00f5i stiimuli omadused, n\u00e4iteks selle raskus v\u00f5i tuttavlikkus, v\u00f5ivad olla k\u00f5rvalised muutujad, mis m\u00f5jutavad uuringu tulemusi.<\/p>\n\n\n\n<h2 id=\"h-how-to-control-extraneous-variables\">Kuidas kontrollida k\u00f5rvalisi muutujaid?<\/h2>\n\n\n\n<p>Siin on m\u00f5ned lihtsad sammud, mida teadlased v\u00f5ivad v\u00f5tta, et kontrollida kontrollimatuid muutujaid:<\/p>\n\n\n\n<h3>1. Tuvastage v\u00f5imalikud mittevajalikud muutujad<\/h3>\n\n\n\n<p>Teadlased peaksid hoolikalt anal\u00fc\u00fcsima k\u00f5iki v\u00f5imalikke tegureid, mis v\u00f5ivad m\u00f5jutada uuringu tulemusi, ja tuvastama need, mis on k\u00f5rvalised.<\/p>\n\n\n\n<h3>2. Kontrollimeetod<\/h3>\n\n\n\n<p>Kui olete tuvastanud oma uuringut m\u00f5jutavad k\u00f5rvalised muutujad, v\u00f5ite valida kontrollimeetodi. Meetodid on seotud teatud muutujate kategooriaga, mis teeb lihtsaks, millist meetodit rakendada. Kontrollimeetodite hulka kuuluvad j\u00e4rgmised:<\/p>\n\n\n\n<h4 id=\"h-standardized-procedures\">Standardiseeritud menetlused<\/h4>\n\n\n\n<p>See l\u00e4henemisviis puudutab situatsiooni-, aja-, \u00fclesande- ja n\u00f5udluse iseloomulikke muutujaid, mis tekivad kogu uuringu \u00fclesehituse k\u00e4igus. Looge standardmeetmeid, et luua k\u00f5igi osalejate jaoks \u00fchtne seade.<\/p>\n\n\n\n<h4 id=\"h-counterbalancing\">Tasakaalustamine<\/h4>\n\n\n\n<p>See l\u00e4henemisviis on seotud osalejate muutujatega, n\u00e4iteks uuringu konkreetse j\u00e4rjekorraga. Selle arvesse v\u00f5tmiseks v\u00f5ite anda \u00fchele osalejate r\u00fchmale korralduse l\u00f5petada \u00fcks osa, samal ajal kui teine r\u00fchm l\u00f5petab teise osa.<\/p>\n\n\n\n<h4 id=\"h-random-sampling\">Juhuslik valikuuring<\/h4>\n\n\n\n<p>See l\u00e4henemisviis on seotud osalejate muutujatega ja tagab, et k\u00f5igil osalejatel on v\u00f5rdne t\u00f5en\u00e4osus saada valitud. N\u00e4iteks inimeste jagamisel kontrollr\u00fchma ja katser\u00fchma v\u00f5ite loosida nimed juhuslikult, et tagada, et igal inimesel on v\u00f5rdne v\u00f5imalus kuuluda m\u00f5lemasse r\u00fchma.<\/p>\n\n\n\n<h4 id=\"h-masking\">Maskeerimine<\/h4>\n\n\n\n<p>See l\u00e4henemisviis on seotud eksperimendi muutujatega. Maskeerimine t\u00e4hendab, et keegi viib eksperimenti l\u00e4bi, kuid ei ole teadlik uuringu eesm\u00e4rgist.<\/p>\n\n\n\n<h2 id=\"h-the-world-s-largest-scientifically-accurate-illustrations-gallery\">Maailma suurim teaduslikult t\u00e4pne illustratsioonigalerii<\/h2>\n\n\n\n<p><a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a> on maailma suurim teaduslikult t\u00e4pne illustratsioonigalerii, mis on t\u00e4is illustratsioone ja graafikuid paljudest teadusharudest, n\u00e4iteks bioloogiast, keemiast, f\u00fc\u00fcsikast ja muust. Lihtne kasutada ja fantastiline oma t\u00f6\u00f6de kvaliteedi parandamiseks!<\/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\">Alustage loomist Mind the Graph-ga<\/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>\u00d5ppige tundma uuringutes esinevaid k\u00f5rvalisi muutujaid ja nende kontrollimise viise, et suurendada oma uuringu sisemist valiidsust.<\/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 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Extraneous Variables in Research: Regulating Potential Influences - Mind the Graph Blog<\/title>\n<meta name=\"description\" content=\"Learn about extraneous variables in research and ways for controlling them to increase the internal validity of your research.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/et\/variables-extranas\/\" \/>\n<meta property=\"og:locale\" content=\"et_EE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Extraneous Variables in Research: Regulating Potential Influences\" \/>\n<meta property=\"og:description\" content=\"Learn about extraneous variables in research and ways for controlling them to increase the internal validity of your research.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/et\/variables-extranas\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T13:31:35+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-07-18T13:37:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/extraneous-variables-blog.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1124\" \/>\n\t<meta property=\"og:image:height\" content=\"613\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Jessica Abbadia\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Extraneous Variables in Research: Regulating Potential Influences\" \/>\n<meta name=\"twitter:description\" content=\"Learn about extraneous variables in research and ways for controlling them to increase the internal validity of your research.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/extraneous-variables-blog.png\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jessica Abbadia\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Extraneous Variables in Research: Regulating Potential Influences - 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Jessica is an animal rights activist who enjoys reading and drinking strong coffee.","sameAs":["https:\/\/www.linkedin.com\/in\/jessica-abbadia-9b834a13b\/"],"url":"https:\/\/mindthegraph.com\/blog\/et\/author\/jessica\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/posts\/28669"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/comments?post=28669"}],"version-history":[{"count":4,"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/posts\/28669\/revisions"}],"predecessor-version":[{"id":28680,"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/posts\/28669\/revisions\/28680"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/media\/28672"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/media?parent=28669"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/categories?post=28669"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/et\/wp-json\/wp\/v2\/tags?post=28669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}