{"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\/pl\/bledy-metodologiczne-w-badaniach\/","title":{"rendered":"B\u0142\u0119dy metodologiczne w badaniach"},"content":{"rendered":"

Wady artyku\u0142u badawczego s\u0105 cz\u0119sto trudne do wykrycia. Zwykle \u0142atwo jest dostrzec b\u0142\u0119dy w rozmytym streszczeniu bez danych, ale czasami mo\u017ce to by\u0107 trudniejsze. Dobra wiadomo\u015b\u0107: istnieje ca\u0142kiem proste rozwi\u0105zanie. Podczas recenzowania artyku\u0142\u00f3w wa\u017cne jest, aby zrozumie\u0107, jak wykry\u0107 b\u0142\u0105d, jak go zidentyfikowa\u0107 i w jakim stopniu jest to wada.\u00a0<\/p>\n\n\n\n

Wadliwe metodologie badawcze mog\u0105 skutkowa\u0107 myl\u0105cymi danymi. Je\u015bli metodologia nie zostanie dok\u0142adnie przemy\u015blana, istnieje wiele sposob\u00f3w, w jakie badania mog\u0105 by\u0107 prowadzone nieprawid\u0142owo. Nasza lista nie ogranicza si\u0119 do nich, ale dokonamy przegl\u0105du niekt\u00f3rych z nich.<\/p>\n\n\n\n

Jakie s\u0105 b\u0142\u0119dy metodologiczne w badaniach?<\/h2>\n\n\n\n

W ka\u017cdej dziedzinie prowadzone s\u0105 r\u00f3\u017cne rodzaje bada\u0144, co skutkuje r\u00f3\u017cnymi rodzajami b\u0142\u0119d\u00f3w badawczych. Jako punkt wyj\u015bcia, jest to pomocne w zapobieganiu cz\u0119sto spotykanym b\u0142\u0119dom w manuskryptach. Wraz z praktyk\u0105 i bieg\u0142o\u015bci\u0105 w krytycznym czytaniu manuskrypt\u00f3w, list\u0119 t\u0119 mo\u017cna rozszerzy\u0107 o bardziej szczeg\u00f3\u0142owe przyk\u0142ady.\u00a0<\/p>\n\n\n\n

Mo\u017cesz przeczyta\u0107 nasz artyku\u0142, aby dowiedzie\u0107 si\u0119 wi\u0119cej o metodologia bada\u0144<\/a>.<\/p>\n\n\n\n

    \n
  1. Korzystanie z niew\u0142a\u015bciwego projektu badawczego<\/strong><\/li>\n<\/ol>\n\n\n\n

    Aby uzyska\u0107 prawid\u0142owe, naukowo uzasadnione wyniki, najwa\u017cniejszy jest projekt badania. Zrozumienie terminologii odnosz\u0105cej si\u0119 do obszaru bada\u0144. Zastan\u00f3w si\u0119, jak nietypowe podej\u015bcie mo\u017ce wp\u0142yn\u0105\u0107 na dane i analiz\u0119, je\u015bli napotkasz je w badaniu. Zwr\u00f3\u0107 uwag\u0119 na argumenty i uzasadnienia badaczy. Co\u015b nowego i nieznanego niekoniecznie jest niedok\u0142adne lub wadliwe. Wymaga jedynie wi\u0119kszej uwagi podczas procesu przegl\u0105du.<\/p>\n\n\n\n

      \n
    1. Wyb\u00f3r rozmiaru pr\u00f3bek<\/strong><\/li>\n<\/ol>\n\n\n\n

      W niekt\u00f3rych przypadkach wyniki pochodz\u0105 z pr\u00f3by, kt\u00f3ra jest zbyt ma\u0142a do dok\u0142adnej analizy. Rzeczywiste dane wymagaj\u0105 nieco wgl\u0105du podczas ich analizy. W zale\u017cno\u015bci od sytuacji, jeden scenariusz mo\u017ce by\u0107 prawid\u0142owy, a drugi nie. Podczas analizy danych nale\u017cy zatem wzi\u0105\u0107 pod uwag\u0119 wielko\u015b\u0107 pr\u00f3by i to, czy obejmuje ona ca\u0142\u0105 grup\u0119 demograficzn\u0105. Ma\u0142e pr\u00f3by nie mog\u0105 by\u0107 analizowane przy u\u017cyciu warto\u015bci procentowych; zawsze nale\u017cy pokazywa\u0107 liczby bezwzgl\u0119dne.<\/p>\n\n\n\n

        \n
      1. Nieprzestrzeganie metodologii\/standard\u00f3w<\/strong><\/li>\n<\/ol>\n\n\n\n

        Wyja\u015bnienie sposobu uzyskania wynik\u00f3w powinno by\u0107 zawarte w sekcji metod. Je\u015bli masz pytania dotycz\u0105ce poprawno\u015bci danych liczbowych, powiniene\u015b je zg\u0142osi\u0107. Nale\u017cy dok\u0142adnie przeanalizowa\u0107 uzasadnienie badaczy pod k\u0105tem wszelkich anomalii, aby w razie potrzeby zada\u0107 wi\u0119cej pyta\u0144. U\u017cywanie nieistotnego j\u0119zyka, stronniczych stwierdze\u0144 i opiniotw\u00f3rczego dyskursu podczas badania jest r\u00f3wnie\u017c uwa\u017cane za z\u0142\u0105 praktyk\u0119.<\/p>\n\n\n\n

          \n
        1. Mn\u00f3stwo s\u0142\u00f3w<\/strong><\/li>\n<\/ol>\n\n\n\n

          Zbyt du\u017ca ilo\u015b\u0107 s\u0142\u00f3w jest cz\u0119stym problemem w manuskryptach. W miar\u0119 mo\u017cliwo\u015bci nale\u017cy zadba\u0107 o to, by teksty by\u0142y zwi\u0119z\u0142e, proste i skuteczne. Czytelnik mo\u017ce straci\u0107 zainteresowanie artyku\u0142em badawczym, je\u015bli jest on zbyt rozwlek\u0142y, co skutkuje jego b\u0142\u0119dn\u0105 interpretacj\u0105. Tego rodzaju b\u0142\u0119dy zdarzaj\u0105 si\u0119 czasami przy braku do\u015bwiadczenia, jednak wa\u017cne jest, aby unika\u0107 pyta\u0144, kt\u00f3re cz\u0119sto s\u0105 skonstruowane w spos\u00f3b wypaczaj\u0105cy wyniki. Badanie z nowym kwestionariuszem jest jedynym sposobem na rozwi\u0105zanie tego b\u0142\u0119du, w przeciwie\u0144stwie do niekt\u00f3rych innych rodzaj\u00f3w b\u0142\u0119d\u00f3w.<\/p>\n\n\n\n

            \n
          1. Rozstrzygaj\u0105ce dowody s\u0105 niewystarczaj\u0105ce<\/strong><\/li>\n<\/ol>\n\n\n\n

            Istotne jest, aby podsumowanie i wnioski artyku\u0142u badawczego by\u0142y oparte na dowodach i uzasadnione. Mo\u017ce istnie\u0107 problem z podej\u015bciem metodologicznym badaczy, dodatkowymi odniesieniami lub potrzeb\u0105 dodatkowych danych, kt\u00f3re nie zgadzaj\u0105 si\u0119 z wynikami.<\/p>\n\n\n\n

            Zawiera najwi\u0119ksz\u0105 na \u015bwiecie kolekcj\u0119 naukowo dok\u0142adnych ilustracji<\/h2>\n\n\n\n

            Tak, dobrze przeczyta\u0142e\u015b. Dzi\u0119ki Mind the Graph mo\u017cesz komunikowa\u0107 nauk\u0119 w najlepszy mo\u017cliwy spos\u00f3b, korzystaj\u0105c z ilustracji naukowych, kt\u00f3re ilustruj\u0105 szeroki zakres dziedzin. Koniecznie sprawd\u017a nasz\u0105 galeri\u0119, kt\u00f3ra jest regularnie aktualizowana.<\/p>\n\n\n\n

            <\/div>\n\n\n
            \n
            \"\"<\/figure><\/div>\n\n\n
            <\/div>\n\n\n\n
            \n
            Zwi\u0119ksz moje badania dzi\u0119ki ilustracjom<\/a><\/div>\n<\/div>\n\n\n\n
            <\/div>\n\n\n\n
            <\/div>\n\n\n\n

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

            Wady pracy naukowej s\u0105 cz\u0119sto trudne do wykrycia. W tym artykule dowiesz si\u0119, jakie s\u0105 ich rodzaje i jak ich unika\u0107 w swoich badaniach.<\/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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