{"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\/da\/metodiske-fejl-i-forskningen\/","title":{"rendered":"Metodiske fejl i forskningen"},"content":{"rendered":"

En forskningsopgaves fejl er ofte sv\u00e6re at opdage. Normalt er det nemt at spotte fejl i et sl\u00f8ret abstract med lidt fokus og ingen data, men nogle gange kan det v\u00e6re sv\u00e6rere. Den gode nyhed er, at der findes en ret enkel l\u00f8sning. N\u00e5r man peer-reviewer artikler, er det vigtigt at forst\u00e5, hvordan man spotter en fejl, hvordan man identificerer den, og i hvilket omfang fejlen er.\u00a0<\/p>\n\n\n\n

Det er muligt, at fejlbeh\u00e6ftede forskningsmetoder resulterer i vildledende data. Hvis metodologien ikke overvejes n\u00f8je, er der mange m\u00e5der, hvorp\u00e5 forskning kan udf\u00f8res forkert. Vores liste er ikke begr\u00e6nset til disse, men vi vil gennemg\u00e5 nogle af de mere almindelige.<\/p>\n\n\n\n

Hvad er de metodologiske fejl i forskningen?<\/h2>\n\n\n\n

Der udf\u00f8res forskellige typer unders\u00f8gelser inden for alle omr\u00e5der, hvilket resulterer i forskellige typer af forskningsfejl. Som udgangspunkt er dette en hj\u00e6lp til at forebygge almindeligt forekommende fejl i manuskripter. Med \u00f8velse og f\u00e6rdighed i at l\u00e6se manuskripter kritisk, kan denne liste udvides med mere specifikke eksempler.\u00a0<\/p>\n\n\n\n

Du kan l\u00e6se vores artikel for at l\u00e6re mere om forskningsmetodologi<\/a>.<\/p>\n\n\n\n

    \n
  1. Brug af det forkerte forskningsdesign<\/strong><\/li>\n<\/ol>\n\n\n\n

    For at opn\u00e5 gyldige, videnskabeligt forsvarlige resultater er forskningsdesignet altafg\u00f8rende. Forst\u00e5 terminologien inden for det omr\u00e5de, der forskes i. Overvej, hvordan en us\u00e6dvanlig tilgang kan p\u00e5virke data og analyse, hvis du st\u00f8der p\u00e5 den i en unders\u00f8gelse. V\u00e6r opm\u00e6rksom p\u00e5 forskernes argumenter og rationaler. Noget nyt og ukendt er ikke n\u00f8dvendigvis un\u00f8jagtigt eller mangelfuldt. Det kr\u00e6ver blot mere opm\u00e6rksomhed under gennemgangsprocessen.<\/p>\n\n\n\n

      \n
    1. Valg af st\u00f8rrelse til pr\u00f8ver<\/strong><\/li>\n<\/ol>\n\n\n\n

      I nogle tilf\u00e6lde stammer resultaterne fra en stikpr\u00f8vest\u00f8rrelse, der er for lille til en pr\u00e6cis analyse. Data fra det virkelige liv kr\u00e6ver en smule indsigt, n\u00e5r vi analyserer dem. Afh\u00e6ngigt af situationen kan det ene scenarie v\u00e6re gyldigt, mens det andet m\u00e5ske ikke er. En stikpr\u00f8ves st\u00f8rrelse, og om den omfatter hele demografien, skal derfor overvejes, n\u00e5r man analyserer data. Sm\u00e5 stikpr\u00f8ver kan ikke analyseres ved hj\u00e6lp af procentsatser; absolutte tal skal altid vises.<\/p>\n\n\n\n

        \n
      1. Metoder\/standarder f\u00f8lges ikke<\/strong><\/li>\n<\/ol>\n\n\n\n

        En forklaring p\u00e5, hvordan resultaterne er fremkommet, b\u00f8r indg\u00e5 i metodeafsnittet. Hvis du har sp\u00f8rgsm\u00e5l til validiteten af tallene, b\u00f8r du rejse dem. Unders\u00f8g omhyggeligt forskernes begrundelser for eventuelle uregelm\u00e6ssigheder for at stille flere sp\u00f8rgsm\u00e5l, hvis det er n\u00f8dvendigt. Brugen af irrelevant sprog, forudindtagede udsagn og holdningsdiskurs i l\u00f8bet af en unders\u00f8gelse betragtes ogs\u00e5 som d\u00e5rlig praksis.<\/p>\n\n\n\n

          \n
        1. Ord i massevis<\/strong><\/li>\n<\/ol>\n\n\n\n

          For mange ord er et almindeligt problem i manuskripter. S\u00f8rg s\u00e5 vidt muligt for, at dine tekster er kortfattede, ligefremme og virkningsfulde. En l\u00e6ser kan miste interessen for en forskningsartikel, hvis den er for ordrig, hvilket resulterer i en fejlfortolkning. Den slags fejl sker af og til i mangel af erfaring, men det er vigtigt at undg\u00e5 sp\u00f8rgsm\u00e5l, der ofte er konstrueret p\u00e5 en m\u00e5de, s\u00e5 de sk\u00e6vvrider resultaterne. Et forskningsstudie med et nyt sp\u00f8rgeskema er den eneste m\u00e5de at l\u00f8se denne fejl p\u00e5, i mods\u00e6tning til andre typer fejl.<\/p>\n\n\n\n

            \n
          1. Konkluderende beviser er ikke nok<\/strong><\/li>\n<\/ol>\n\n\n\n

            Det er vigtigt, at resum\u00e9et og konklusionen i en forskningsartikel er baseret p\u00e5 evidens og begrundet. Der kan v\u00e6re et problem med forskernes metodiske tilgang, yderligere referencer eller et behov for yderligere data, som ikke stemmer overens med resultaterne.<\/p>\n\n\n\n

            Med verdens st\u00f8rste samling af videnskabeligt n\u00f8jagtige illustrationer<\/h2>\n\n\n\n

            Ja, du l\u00e6ste rigtigt. Med Mind the Graph kan du kommunikere videnskab p\u00e5 den bedst mulige m\u00e5de ved at bruge videnskabelige illustrationer, der illustrerer en lang r\u00e6kke omr\u00e5der. S\u00f8rg for at tjekke vores galleri, som opdateres regelm\u00e6ssigt.<\/p>\n\n\n\n

            <\/div>\n\n\n
            \n
            \"\"<\/figure><\/div>\n\n\n
            <\/div>\n\n\n\n
            \n
            \u00d8g min research med illustrationer<\/a><\/div>\n<\/div>\n\n\n\n
            <\/div>\n\n\n\n
            <\/div>\n\n\n\n

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

            Fejlene i en forskningsartikel er ofte sv\u00e6re at opdage. I denne artikel kan du l\u00e6se om de forskellige typer af fejl, og hvordan du undg\u00e5r dem i din research.<\/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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