{"id":29470,"date":"2023-09-14T14:09:41","date_gmt":"2023-09-14T17:09:41","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/what-is-a-descriptive-study-copy\/"},"modified":"2023-09-13T15:13:17","modified_gmt":"2023-09-13T18:13:17","slug":"types-of-reliability-in-research","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/sk\/typy-spolahlivosti-vo-vyskume\/","title":{"rendered":"Sk\u00famanie typov spo\u013eahlivosti vo v\u00fdskume"},"content":{"rendered":"

Spo\u013eahliv\u00e9 a platn\u00e9 z\u00e1very mo\u017eno vyvodi\u0165 z akademick\u00fdch a vedeck\u00fdch \u0161t\u00fadi\u00ed len vtedy, ak je v\u00fdskum spo\u013eahliv\u00fd. V\u00fdskumn\u00edci m\u00f4\u017eu dospie\u0165 k nespr\u00e1vnym z\u00e1verom, ak s\u00fa zistenia nekonzistentn\u00e9, nespo\u013eahliv\u00e9 a ned\u00f4veryhodn\u00e9. Pre v\u00fdskumn\u00edkov, vedcov a \u0161tudentov je pochopenie r\u00f4znych typov spo\u013eahlivosti v\u00fdskumu nevyhnutn\u00e9 na kritick\u00e9 pos\u00fadenie kvality a spo\u013eahlivosti \u0161t\u00fadie.<\/p>\n\n\n\n

Presk\u00famame typy spo\u013eahlivosti vo v\u00fdskume a ich v\u00fdznam v akademickej a vedeckej oblasti. V\u010faka tomuto sk\u00famaniu bude v\u00fdskum spo\u013eahlivej\u0161\u00ed, n\u00e1stroje merania vhodnej\u0161ie a v\u00fdsledky presnej\u0161ie. Je potrebn\u00e9 zabezpe\u010di\u0165 spo\u013eahlivos\u0165 v\u00fdsledkov v\u00fdskumu, \u010di u\u017e ste sk\u00fasen\u00fd v\u00fdskumn\u00edk alebo \u0161tudent, tento pr\u00edspevok na blogu v\u00e1m poskytne cenn\u00e9 inform\u00e1cie a n\u00e1stroje, ktor\u00e9 v\u00e1m pom\u00f4\u017eu roz\u0161\u00edri\u0165 va\u0161e vedomosti. <\/p>\n\n\n\n

\u010co je vo v\u00fdskume spo\u013eahlivos\u0165?<\/h2>\n\n\n\n

Spo\u013eahlivos\u0165 v\u00fdskumnej \u0161t\u00fadie je definovan\u00e1 ako konzistentnos\u0165 a stabilita meran\u00ed, testov alebo pozorovan\u00ed vykonan\u00fdch v r\u00e1mci \u0161t\u00fadie. Zabezpe\u010duje, \u017ee by sa dosiahli rovnak\u00e9 v\u00fdsledky, ak by sa t\u00e1 ist\u00e1 \u0161t\u00fadia zopakovala alebo opakovala. Pri zbere \u00fadajov, merac\u00edch n\u00e1strojoch alebo spr\u00e1van\u00ed \u00fa\u010dastn\u00edkov sl\u00fa\u017ei spo\u013eahlivos\u0165 ako ochrana pred n\u00e1hodn\u00fdmi chybami a v\u00fdkyvmi.<\/p>\n\n\n\n

V\u00fdskum je nevyhnutn\u00fd na vyvodzovanie platn\u00fdch z\u00e1verov, prij\u00edmanie informovan\u00fdch rozhodnut\u00ed a prispievanie k s\u00faboru poznatkov. Spo\u013eahlivos\u0165 v\u00fdskumu ako z\u00e1kladu pr\u00edsneho vedeck\u00e9ho sk\u00famania umo\u017e\u0148uje napredova\u0165 v r\u00f4znych oblastiach a podporova\u0165 postupy zalo\u017een\u00e9 na d\u00f4kazoch. V\u00fdskumn\u00edci hodnotia konzistentnos\u0165 a spo\u013eahlivos\u0165 meran\u00ed na z\u00e1klade nieko\u013ek\u00fdch typov spo\u013eahlivosti. Vo v\u00fdskume sa be\u017ene posudzuj\u00fa \u0161tyri typy spo\u013eahlivosti:<\/p>\n\n\n\n

    \n
  1. Spo\u013eahlivos\u0165 vn\u00fatornej konzistencie<\/li>\n\n\n\n
  2. Spo\u013eahlivos\u0165 testu a opakovan\u00e9ho testu<\/li>\n\n\n\n
  3. Spo\u013eahlivos\u0165 medzi hodnotite\u013emi<\/li>\n\n\n\n
  4. Spo\u013eahlivos\u0165 paraleln\u00fdch foriem<\/li>\n<\/ol>\n\n\n\n

    Hodnoten\u00edm konzistencie, stability a ekvivalencie svojich meran\u00ed v\u00fdskumn\u00edci zabezpe\u010duj\u00fa spo\u013eahlivos\u0165 a platnos\u0165 svojich zisten\u00ed. V\u00fdskumn\u00edci m\u00f4\u017eu uprednostni\u0165 jeden typ hodnotenia spo\u013eahlivosti pred in\u00fdm na z\u00e1klade v\u00fdznamu svojho v\u00fdskumu a pou\u017eit\u00e9ho n\u00e1stroja merania.<\/p>\n\n\n\n

    1. Spo\u013eahlivos\u0165 vn\u00fatornej konzistencie<\/h2>\n\n\n\n

    Hodnotenie spo\u013eahlivosti vn\u00fatornej konzistencie ur\u010duje, nako\u013eko s\u00fa merania v r\u00e1mci \u0161t\u00fadie konzistentn\u00e9 a koherentn\u00e9. Pomocou prieskumu alebo dotazn\u00edka sa sk\u00fama, \u010di r\u00f4zne polo\u017eky alebo ot\u00e1zky meraj\u00fa rovnak\u00fd z\u00e1kladn\u00fd kon\u0161trukt. Ako zlo\u017een\u00e1 \u0161k\u00e1la alebo index sa sk\u00fama spo\u013eahlivos\u0165 polo\u017eiek spolo\u010dne.<\/p>\n\n\n\n

    Ak\u00e9 s\u00fa kroky k spo\u013eahlivosti vn\u00fatornej konzistencie?<\/h3>\n\n\n\n

    Spo\u013eahlivos\u0165 vn\u00fatornej konzistencie mo\u017eno mera\u0165 pomocou r\u00f4znych \u0161tatistick\u00fdch met\u00f3d. Be\u017ene sa pou\u017e\u00edva Cronbachovo alfa na v\u00fdpo\u010det priemernej korel\u00e1cie medzi v\u0161etk\u00fdmi polo\u017ekami \u0161k\u00e1ly. Sk\u00f3re vn\u00fatornej konzistencie nad 0,70 znamen\u00e1 vysok\u00fa Cronbachova alfa. (<\/em><\/strong>Ak v\u00e1s zauj\u00edma Cronbachova alfa, m\u00f4\u017eete si pre\u010d\u00edta\u0165 n\u00e1\u0161 \u010dl\u00e1nok na blogu \"Ak\u00e1 je \u00faloha Cronbachovej alfy a ako ju interpretujete?<\/a>“)<\/p>\n\n\n\n

    Met\u00f3da reliability rozdelenej na polovice sk\u00fama korel\u00e1ciu medzi dvoma polovicami meracieho n\u00e1stroja rozdelen\u00e9ho na dve polovice. V\u00fdskumn\u00edci m\u00f4\u017eu pomocou tejto met\u00f3dy ur\u010di\u0165, \u010di r\u00f4zne polovice n\u00e1stroja konzistentne meraj\u00fa ten ist\u00fd kon\u0161trukt.<\/p>\n\n\n\n

    Pr\u00edklad spo\u013eahlivosti vn\u00fatornej konzistencie<\/h3>\n\n\n\n

    V\u00fdznam spo\u013eahlivosti vn\u00fatornej konzistencie vo v\u00fdskume v \u0161irokej \u0161k\u00e1le discipl\u00edn nemo\u017eno prece\u0148ova\u0165. Psychol\u00f3govia m\u00f4\u017eu napr\u00edklad pou\u017ei\u0165 viacpolo\u017ekov\u00fd dotazn\u00edk na meranie d\u00f4very v psychologick\u00fd v\u00fdskum. V\u0161etky polo\u017eky by mali by\u0165 spo\u013eahliv\u00e9 z h\u013eadiska vn\u00fatornej konzistencie, aby merali seba\u00factu konzistentne a neboli ovplyvnen\u00e9 nes\u00favisiacimi faktormi. V\u00fdsledky \u0161t\u00fadie mo\u017eno overi\u0165 stanoven\u00edm platnosti meracieho n\u00e1stroja.<\/p>\n\n\n\n

    2. Spo\u013eahlivos\u0165 testu a opakovan\u00e9ho testu<\/h2>\n\n\n\n

    Pri testovan\u00ed sa hodnot\u00ed spo\u013eahlivos\u0165, stabilita a konzistentnos\u0165 v \u010dase. Pri pou\u017eit\u00ed toho ist\u00e9ho meracieho n\u00e1stroja pri dvoch r\u00f4znych pr\u00edle\u017eitostiach sa sk\u00fama, \u010di s\u00fa v\u00fdsledky porovnate\u013en\u00e9. Met\u00f3da je u\u017eito\u010dn\u00e1 najm\u00e4 pri hodnoten\u00ed spo\u013eahlivosti kon\u0161truktov, ktor\u00e9 by mali zosta\u0165 dlhodobo stabiln\u00e9.<\/p>\n\n\n\n

    Ak\u00e9 s\u00fa kroky k spo\u013eahlivosti testu a opakovan\u00e9ho testu?<\/h3>\n\n\n\n

    Na vykonanie \u0161t\u00fadie spo\u013eahlivosti test-retest je potrebn\u00e9 vykona\u0165 nieko\u013eko krokov. Po prv\u00e9, v\u00fdskumn\u00edci musia vybra\u0165 reprezentat\u00edvnu vzorku \u00fa\u010dastn\u00edkov. Pre zov\u0161eobecnenie by mala by\u0165 ve\u013ekos\u0165 a rozmanitos\u0165 vzorky dostato\u010dn\u00e1.<\/p>\n\n\n\n

    N\u00e1sledne sa \u00fa\u010dastn\u00edkom dvakr\u00e1t pod\u00e1 merac\u00ed n\u00e1stroj s \u010dasov\u00fdm odstupom medzi jednotliv\u00fdmi podaniami. Interval m\u00f4\u017ee by\u0165 ur\u010den\u00fd v\u00fdskumn\u00fdm kontextom a povahou kon\u0161truktu. Nieko\u013eko t\u00fd\u017ed\u0148ov a\u017e nieko\u013eko mesiacov m\u00f4\u017ee by\u0165 vhodn\u00fdch napr\u00edklad pre \u0161t\u00fadie meraj\u00face osobnostn\u00e9 \u010drty.<\/p>\n\n\n\n

    Po zozbieran\u00ed \u00fadajov v\u00fdskumn\u00edci analyzuj\u00fa konzistenciu medzi dvoma administr\u00e1ciami testu. Na tento \u00fa\u010del sa zvy\u010dajne vypo\u010d\u00edta korela\u010dn\u00fd koeficient, napr\u00edklad Pearsonov korela\u010dn\u00fd koeficient alebo vn\u00fatrodruhov\u00fd korela\u010dn\u00fd koeficient (ICC). Vysok\u00e9 korela\u010dn\u00e9 koeficienty poukazuj\u00fa na vysok\u00fa spo\u013eahlivos\u0165 testovania, \u010do znamen\u00e1 stabiln\u00e9 a konzistentn\u00e9 meranie v priebehu \u010dasu.<\/p>\n\n\n\n

    Pr\u00edklad spo\u013eahlivosti testu a opakovan\u00e9ho testu<\/h3>\n\n\n\n

    Longitudin\u00e1lne \u0161t\u00fadie, v ktor\u00fdch v\u00fdskumn\u00edci sleduj\u00fa skupinu jednotlivcov po\u010das dlh\u00e9ho \u010dasov\u00e9ho obdobia, s\u00fa obzvl\u00e1\u0161\u0165 d\u00f4le\u017eit\u00e9, pokia\u013e ide o hodnotenie spo\u013eahlivosti testovania. V\u00fdskumn\u00edci m\u00f4\u017eu pos\u00fadi\u0165 stabilitu meracieho n\u00e1stroja, aby sa uistili, \u017ee zmeny v kon\u0161trukte nie s\u00fa d\u00f4sledkom nekonzistentnosti merania. V d\u00f4sledku toho mo\u017eno ak\u00e9ko\u013evek zmeny s istotou prip\u00edsa\u0165 zmen\u00e1m v kon\u0161trukte, a nie chybe merania. Zachovanie konzistentn\u00e9ho merania v priebehu \u010dasu je d\u00f4le\u017eit\u00e9 napr\u00edklad v interven\u010dn\u00fdch \u0161t\u00fadi\u00e1ch, kde sa \u00fa\u010dinky lie\u010dby hodnotia vo viacer\u00fdch \u010dasov\u00fdch bodoch.<\/p>\n\n\n\n

    3. Spo\u013eahlivos\u0165 medzi hodnotite\u013emi<\/h2>\n\n\n\n

    Pri hodnoten\u00ed rovnak\u00e9ho javu alebo \u00fadajov vo v\u00fdskume sa spo\u013eahlivos\u0165 medzi hodnotite\u013emi vz\u0165ahuje na konzistenciu a zhodu medzi r\u00f4znymi hodnotite\u013emi alebo pozorovate\u013emi. Pri tejto met\u00f3de hodnotite\u013e alebo pozorovate\u013e meria, posudzuje alebo kategorizuje veci podobn\u00fdm alebo konzistentn\u00fdm sp\u00f4sobom. Pri kvalitat\u00edvnom v\u00fdskume, anal\u00fdze kvalitat\u00edvnych \u00fadajov alebo pozorovan\u00ed z viacer\u00fdch perspekt\u00edv je inter-rater reliabilita k\u013e\u00fa\u010dov\u00e1.<\/p>\n\n\n\n

    Ak\u00e9 s\u00fa kroky na dosiahnutie spo\u013eahlivosti medzi hodnotite\u013emi?<\/h3>\n\n\n\n

    Na pos\u00fadenie spo\u013eahlivosti medzi hodnotite\u013emi sa pou\u017e\u00edvaj\u00fa r\u00f4zne \u0161tatistick\u00e9 opatrenia. Cohenovo kappa je \u0161iroko pou\u017e\u00edvan\u00e1 miera, ktor\u00e1 zoh\u013ead\u0148uje zhodu presahuj\u00facu n\u00e1hodu. Upravuje mo\u017enos\u0165 n\u00e1hodn\u00e9ho v\u00fdskytu zhody. Vn\u00fatrodruhov\u00e1 korel\u00e1cia (ICC) je \u010fal\u0161ou be\u017ene pou\u017e\u00edvanou \u0161tatistickou mierou, najm\u00e4 ak s\u00fa hodnotenia alebo pozorovania spojit\u00e9 alebo na intervalovej stupnici. ICC poskytuje odhad podielu rozptylu v hodnoteniach, ktor\u00fd mo\u017eno prip\u00edsa\u0165 skuto\u010dn\u00fdm rozdielom medzi pozorovaniami.<\/p>\n\n\n\n

    Pr\u00edklad spo\u013eahlivosti medzi hodnotite\u013emi <\/h3>\n\n\n\n

    Subjekt\u00edvne hodnotenia, kvalitat\u00edvny v\u00fdskum<\/a>a pozorovacie \u0161t\u00fadie si vy\u017eaduj\u00fa spo\u013eahlivos\u0165 medzi hodnotite\u013emi. V\u017edy, ke\u010f viacero psychol\u00f3gov nez\u00e1visle hodnot\u00ed spr\u00e1vanie alebo sympt\u00f3my pacientov, je spo\u013eahlivos\u0165 medzi posudzovate\u013emi k\u013e\u00fa\u010dov\u00e1. V\u00fdskumn\u00edci vykon\u00e1vaj\u00faci kvalitat\u00edvny v\u00fdskum musia zabezpe\u010di\u0165, aby ich interpret\u00e1cie rozhovorov a textov\u00fdch \u00fadajov boli konzistentn\u00e9 a dosiahli konsenzus. Pri vykon\u00e1van\u00ed observa\u010dn\u00fdch \u0161t\u00fadi\u00ed je tie\u017e d\u00f4le\u017eit\u00e9 zabezpe\u010di\u0165 spo\u013eahlivos\u0165 medzi posudzovate\u013emi, podobne ako spo\u013eahlivos\u0165 medzi k\u00f3dovan\u00edm pri obsahovej anal\u00fdze, ke\u010f \u00fadaje d\u00f4sledne kategorizuje a k\u00f3duje viacero k\u00f3dova\u010dov.<\/p>\n\n\n\n

    4. Spo\u013eahlivos\u0165 paraleln\u00fdch foriem<\/h2>\n\n\n\n

    Paraleln\u00e1 forma reliability, ktor\u00e1 je zn\u00e1ma aj ako reliabilita alternat\u00edvnej formy, sa vz\u0165ahuje na konzistenciu a ekvivalenciu viacer\u00fdch verzi\u00ed alebo foriem meracieho n\u00e1stroja ur\u010den\u00e9ho na meranie toho ist\u00e9ho kon\u0161truktu. Ide o sk\u00famanie korel\u00e1cie alebo zhody medzi dvoma alebo viacer\u00fdmi paraleln\u00fdmi formami meracieho n\u00e1stroja. Ke\u010f chc\u00fa v\u00fdskumn\u00edci minimalizova\u0165 skreslenie polo\u017eiek alebo zmierni\u0165 praktick\u00e9 efekty spojen\u00e9 s jednou formou, m\u00f4\u017ee by\u0165 u\u017eito\u010dn\u00e1 spo\u013eahlivos\u0165 paraleln\u00fdch foriem.<\/p>\n\n\n\n

    Ak\u00e9 s\u00fa kroky k spo\u013eahlivosti paraleln\u00fdch formul\u00e1rov?<\/h3>\n\n\n\n

    Spo\u013eahlivos\u0165 paraleln\u00fdch formul\u00e1rov mo\u017eno hodnoti\u0165 pomocou r\u00f4znych \u0161tatistick\u00fdch meran\u00ed. Na sk\u00famanie line\u00e1rneho vz\u0165ahu medzi sk\u00f3re z\u00edskan\u00fdm z paraleln\u00fdch formul\u00e1rov sa \u010dasto pou\u017e\u00edvaj\u00fa Pearsonove korela\u010dn\u00e9 koeficienty. Existuj\u00fa aj in\u00e9 miery, ako napr\u00edklad Spearmanov korela\u010dn\u00fd koeficient pre neparametrick\u00e9 \u00fadaje alebo vn\u00fatrodruhov\u00fd korela\u010dn\u00fd koeficient (ICC), ak je zapojen\u00fdch viac hodnotite\u013eov alebo pozorovate\u013eov.<\/p>\n\n\n\n

    Pr\u00edklad spo\u013eahlivosti paraleln\u00fdch foriem <\/h3>\n\n\n\n

    Mnoh\u00e9 v\u00fdskumn\u00e9 oblasti a v\u00fdskumn\u00e9 projekty si vy\u017eaduj\u00fa paraleln\u00e9 formy spo\u013eahlivosti. Vo v\u00fdskume v oblasti vzdel\u00e1vania sa paraleln\u00e9 formy testu m\u00f4\u017eu zad\u00e1va\u0165 r\u00f4znym skupin\u00e1m \u0161tudentov s cie\u013eom porovna\u0165 \u00fa\u010dinnos\u0165 r\u00f4znych vyu\u010dovac\u00edch met\u00f3d. Ak\u00e9ko\u013evek pozorovan\u00e9 rozdiely vo v\u00fdsledkoch sa tak bud\u00fa da\u0165 prip\u00edsa\u0165 vyu\u010dovacej met\u00f3de. Pri hodnoten\u00ed r\u00f4znych lie\u010debn\u00fdch intervenci\u00ed m\u00f4\u017ee by\u0165 cenn\u00e1 spo\u013eahlivos\u0165 paraleln\u00fdch foriem. Na minimaliz\u00e1ciu skreslenia merania m\u00f4\u017eu v\u00fdskumn\u00edci porovn\u00e1va\u0165 sk\u00f3re pred a po lie\u010dbe pomocou paraleln\u00fdch foriem meran\u00ed v\u00fdsledkov hl\u00e1sen\u00fdch pacientom.<\/p>\n\n\n\n

    Budovanie spo\u013eahliv\u00e9ho v\u00fdskumu tehli\u010dku po tehli\u010dke<\/h2>\n\n\n\n

    Akademick\u00e9 prostredie a vedeck\u00e9 \u0161t\u00fadie sa vo ve\u013ekej miere spoliehaj\u00fa na spo\u013eahlivos\u0165 v\u00fdskumu. T\u00fdmto sp\u00f4sobom zabezpe\u010dujeme konzistentnos\u0165, spo\u013eahlivos\u0165 a d\u00f4veryhodnos\u0165 na\u0161ich meran\u00ed. Aby sme posilnili platnos\u0165 na\u0161ich zisten\u00ed a prispeli k poznaniu, mus\u00edme pochopi\u0165 a uplat\u0148ova\u0165 r\u00f4zne typy reliability.<\/p>\n\n\n\n

    Spo\u013eahlivos\u0165 v\u00fdskumu je d\u00f4le\u017eit\u00e1, preto si ju ako v\u00fdskumn\u00edci osvojme. Zabezpe\u010dte s\u00fadr\u017enos\u0165 v r\u00e1mci n\u00e1strojov merania za\u010dlenen\u00edm spo\u013eahlivosti vn\u00fatornej konzistencie. Posudzujte stabilitu v priebehu \u010dasu zoh\u013eadnen\u00edm reliability test-retest. Zv\u00e1\u017ete spo\u013eahlivos\u0165 medzi pozorovate\u013emi, ak sa na meran\u00ed podie\u013ea viacero pozorovate\u013eov. Na zmiernenie skreslen\u00ed a efektov praxe nezab\u00fadajte na spo\u013eahlivos\u0165 paraleln\u00fdch foriem.<\/p>\n\n\n\n

    Ke\u010f\u017ee kladieme ve\u013ek\u00fd d\u00f4raz na spo\u013eahlivos\u0165 v\u00fdskumu, prispievame k rozvoju celej oblasti. Vytv\u00e1rajte trval\u00fd vplyv prostredn\u00edctvom spo\u013eahliv\u00e9ho a d\u00f4veryhodn\u00e9ho v\u00fdskumu vyzbrojen\u00e9ho znalos\u0165ami o spo\u013eahlivosti.<\/p>\n\n\n\n

    Zv\u00fd\u0161enie vplyvu a spo\u013eahlivosti va\u0161ej pr\u00e1ce<\/h2>\n\n\n\n

    Pridanie ilustr\u00e1ci\u00ed k tematick\u00fdm anal\u00fdzam m\u00f4\u017ee zv\u00fd\u0161i\u0165 h\u013abku a jasnos\u0165 spo\u013eahlivosti v\u00fdskumu. Vedeck\u00e9 zistenia sa daj\u00fa lep\u0161ie pochopi\u0165 a nau\u010di\u0165 prostredn\u00edctvom vizu\u00e1lnych prezent\u00e1ci\u00ed. N\u00e1stroj ako napr. Mind the Graph<\/a> u\u013eah\u010duje pochopenie zlo\u017eit\u00fdch \u00fadajov pomocou starostlivo navrhnut\u00fdch vizu\u00e1lov. Ilustr\u00e1cie m\u00f4\u017eu na \u010ditate\u013eov zap\u00f4sobi\u0165 a vtiahnu\u0165 ich do v\u00fdsledkov v\u00e1\u0161ho v\u00fdskumu. Vizualiz\u00e1cia va\u0161ich tematick\u00fdch anal\u00fdz ich pozdvihne a zanech\u00e1 vo va\u0161om publiku trval\u00fd dojem.<\/p>\n\n\n\n

    <\/div>\n\n\n
    \n
    \"\"<\/figure><\/div>\n\n\n
    <\/div>\n\n\n\n
    \n
    Za\u010dnite tvori\u0165 s Mind the Graph<\/a><\/div>\n<\/div>\n\n\n\n
    <\/div>","protected":false},"excerpt":{"rendered":"

    Objavte r\u00f4zne typy spo\u013eahlivosti vo v\u00fdskume. Pou\u017eite t\u00fato komplexn\u00fa pr\u00edru\u010dku na zv\u00fd\u0161enie d\u00f4veryhodnosti svojho v\u00fdskumu.<\/p>","protected":false},"author":27,"featured_media":29472,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"\nAn Exploration Through Types of Reliability in Research - Mind the Graph Blog<\/title>\n<meta name=\"description\" content=\"Discover the different types of reliability in research. 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