{"id":25828,"date":"2022-12-06T11:30:00","date_gmt":"2022-12-06T14:30:00","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/?p=25828"},"modified":"2022-12-21T15:13:21","modified_gmt":"2022-12-21T18:13:21","slug":"methodological-flaws-in-research","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/et\/metodoloogilised-vead-uuringutes\/","title":{"rendered":"Metodoloogilised vead teadusuuringutes"},"content":{"rendered":"

Uurimist\u00f6\u00f6 puudusi on sageli raske avastada. Tavaliselt on vigu lihtne m\u00e4rgata h\u00e4gusas, v\u00e4hese fookuse ja andmeteta kokkuv\u00f5ttes, kuid m\u00f5nikord v\u00f5ib see olla keerulisem. Hea uudis: on olemas \u00fcsna lihtne lahendus. Referaatide retsenseerimisel on oluline m\u00f5ista, kuidas viga m\u00e4rgata, kuidas seda tuvastada ja millises ulatuses on tegemist veaga.\u00a0<\/p>\n\n\n\n

On v\u00f5imalik, et vigased uurimismeetodid toovad kaasa eksitavad andmed. Kui metoodikat ei kaaluta hoolikalt, on palju v\u00f5imalusi, kuidas uuringut v\u00f5ib valesti l\u00e4bi viia. Meie loetelu ei piirdu nendega, kuid vaatame l\u00e4bi m\u00f5ned levinumad neist.<\/p>\n\n\n\n

Millised on uuringute metoodilised vead?<\/h2>\n\n\n\n

Igas valdkonnas viiakse l\u00e4bi eri t\u00fc\u00fcpi uuringuid, mille tulemuseks on eri t\u00fc\u00fcpi uurimisvead. Alustuseks on see kasulik, et v\u00e4ltida sageli esinevaid vigu k\u00e4sikirjades. Praktika ja oskusega k\u00e4sikirjade kriitilises lugemises saab seda loetelu t\u00e4iendada konkreetsemate n\u00e4idetega.\u00a0<\/p>\n\n\n\n

Saate lugeda meie artiklit, et rohkem teada saada uurimismeetodid<\/a>.<\/p>\n\n\n\n

    \n
  1. Vale uuringukava kasutamine<\/strong><\/li>\n<\/ol>\n\n\n\n

    Kehtivate, teaduslikult usaldusv\u00e4\u00e4rsete tulemuste saavutamiseks on uurimiskava esmat\u00e4htis. M\u00f5istma uurimisteemaga seotud terminoloogiat. M\u00f5elge, kuidas ebatavaline l\u00e4henemisviis v\u00f5ib m\u00f5jutada andmeid ja anal\u00fc\u00fcsi, kui te sellega uuringus kokku puutute. P\u00f6\u00f6rake t\u00e4helepanu teadlaste argumentidele ja p\u00f5hjendustele. Midagi uut ja harjumatut ei pruugi olla ebat\u00e4pne v\u00f5i vigane. See vajab ainult rohkem t\u00e4helepanu l\u00e4bivaatuse k\u00e4igus.<\/p>\n\n\n\n

      \n
    1. Proovide suuruse valik<\/strong><\/li>\n<\/ol>\n\n\n\n

      M\u00f5nel juhul on tulemused saadud valimi p\u00f5hjal, mis on t\u00e4pse anal\u00fc\u00fcsi jaoks liiga v\u00e4ike. Reaalsete andmete anal\u00fc\u00fcsimisel on vaja veidi s\u00fcveneda. S\u00f5ltuvalt olukorrast v\u00f5ib \u00fcks stsenaarium olla kehtiv, teine aga mitte. Seega tuleb andmete anal\u00fc\u00fcsimisel arvestada valimi suurust ja seda, kas see h\u00f5lmab kogu demograafilist elanikkonda. V\u00e4ikseid valimeid ei saa anal\u00fc\u00fcsida protsentide abil; alati tuleb n\u00e4idata absoluutseid numbreid.<\/p>\n\n\n\n

        \n
      1. Meetodid\/standardid, mida ei ole j\u00e4rgitud<\/strong><\/li>\n<\/ol>\n\n\n\n

        Meetodite osas tuleks esitada selgitus selle kohta, kuidas tulemused on saadud. Kui teil on k\u00fcsimusi arvandmete kehtivuse kohta, peaksite need esitama. Uurige hoolikalt teadlaste p\u00f5hjendusi, et leida k\u00f5rvalekaldeid ja esitada vajaduse korral lisak\u00fcsimusi. Ebamaterjali, erapoolikute v\u00e4idete ja arvamusliidrite kasutamist uuringu k\u00e4igus peetakse samuti halvaks tavaks.<\/p>\n\n\n\n

          \n
        1. S\u00f5nu on palju<\/strong><\/li>\n<\/ol>\n\n\n\n

          Liiga palju s\u00f5nastust on tavaline probleem k\u00e4sikirjades. Nii palju kui v\u00f5imalik, veenduge, et teie tekstid on l\u00fchikesed, sirgjoonelised ja m\u00f5jusad. Liigse s\u00f5namahukuse korral v\u00f5ib lugeja kaotada huvi teadusartikli vastu, mille tulemuseks v\u00f5ib olla valesti t\u00f5lgendamine. Selliseid vigu esineb aeg-ajalt kogemuse puudumisel, kuid oluline on v\u00e4ltida k\u00fcsimusi, mis on sageli konstrueeritud nii, et tulemused oleksid moonutatud. Uue k\u00fcsimustikuga uurimus on ainus viis selle vea lahendamiseks, erinevalt m\u00f5nest muust veat\u00fc\u00fcbist.<\/p>\n\n\n\n

            \n
          1. Veenvaid t\u00f5endeid ei ole piisavalt<\/strong><\/li>\n<\/ol>\n\n\n\n

            Oluline on, et uurimist\u00f6\u00f6 kokkuv\u00f5te ja j\u00e4reldusl\u00f5iked p\u00f5hineksid t\u00f5endusmaterjalil ja oleksid p\u00f5hjendatud. V\u00f5ib olla probleemiks teadlaste metoodiline l\u00e4henemine, t\u00e4iendavad viited v\u00f5i vajadus t\u00e4iendavate andmete j\u00e4rele, mis ei ole tulemustega koosk\u00f5las.<\/p>\n\n\n\n

            Maailma suurima teaduslikult t\u00e4psete illustratsioonide kogumikuga<\/h2>\n\n\n\n

            Jah, te lugesite seda \u00f5igesti. Mind the Graph abil saate teadust parimal v\u00f5imalikul viisil edasi anda, kasutades teaduslikke illustratsioone, mis illustreerivad paljusid valdkondi. Vaadake kindlasti meie galeriid, mida uuendatakse regulaarselt.<\/p>\n\n\n\n

            <\/div>\n\n\n
            \n
            \"\"<\/figure><\/div>\n\n\n
            <\/div>\n\n\n\n
            \n
            Suurendada minu uurimist\u00f6\u00f6 illustratsioonidega<\/a><\/div>\n<\/div>\n\n\n\n
            <\/div>\n\n\n\n
            <\/div>\n\n\n\n

            <\/p>","protected":false},"excerpt":{"rendered":"

            Uurimist\u00f6\u00f6 puudusi on sageli raske avastada. Selles artiklis saate teada, millised need on ja kuidas neid oma uurimist\u00f6\u00f6s v\u00e4ltida.<\/p>","protected":false},"author":27,"featured_media":25830,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"\nMethodological flaws in research<\/title>\n<meta name=\"description\" content=\"A research paper's flaws are often hard to detect. 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