{"id":28819,"date":"2023-08-02T13:11:33","date_gmt":"2023-08-02T16:11:33","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/extraneous-variables-copy\/"},"modified":"2024-11-28T12:22:40","modified_gmt":"2024-11-28T15:22:40","slug":"inductive-vs-deductive-research","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/lt\/indukciniai-ir-dedukciniai-tyrimai\/","title":{"rendered":"Indukciniai ir dedukciniai tyrimai: Du po\u017ei\u016briai \u012f duomen\u0173 analiz\u0119"},"content":{"rendered":"

Indukciniai tyrimai apima apibendrinim\u0173 darym\u0105 i\u0161 konkre\u010di\u0173 steb\u0117jim\u0173, o dedukciniai tyrimai - hipotezi\u0173 tikrinim\u0105 remiantis esamomis teorijomis. Indukciniai ir dedukciniai tyrimai yra da\u017ena mokslini\u0173 tyrim\u0173 metodologijos tema, susijusi su dviem skirtingais po\u017ei\u016briais \u012f duomen\u0173 analiz\u0119. Abu metodai turi savit\u0173 privalum\u0173 ir tr\u016bkum\u0173, o tinkamo metodo pasirinkimas gali tur\u0117ti didel\u0117s \u012ftakos tyrimo rezultatams. <\/p>\n\n\n\n

Kas yra indukcinis tyrimas?<\/h2>\n\n\n\n

Indukcinis tyrimas - tai tyrimo metodas, kai renkant ir analizuojant duomenis kuriama teorija arba hipotez\u0117. Taikydami \u0161\u012f metod\u0105 tyr\u0117jai pradeda nuo konkre\u010di\u0173 steb\u0117jim\u0173 ir duomen\u0173, o tada kuria bendresnes teorijas ir i\u0161vadas. \u0160is tyrimas da\u017enai taikomas, kai apie tem\u0105 \u017einoma nedaug arba kai n\u0117ra egzistuojan\u010dios teorijos, paai\u0161kinan\u010dios atliekamus steb\u0117jimus. Indukcini\u0173 tyrim\u0173 tikslas - sukurti duomenimis pagr\u012fst\u0105 teorij\u0105 ir ja remiantis paai\u0161kinti duomen\u0173 d\u0117sningumus ar ry\u0161ius.<\/p>\n\n\n\n

Indukcinio tyrimo procesas<\/h3>\n\n\n\n

Indukcinio tyrimo proces\u0105 sudaro \u0161ie etapai:<\/p>\n\n\n\n

Duomen\u0173 rinkimas: <\/em><\/strong>Pirmasis indukcinio tyrimo \u017eingsnis - rinkti duomenis. Tai galima atlikti \u012fvairiais metodais, \u012fskaitant interviu, steb\u0117jimus, apklausas ir dokument\u0173 analiz\u0119.<\/p>\n\n\n\n

Duomen\u0173 analiz\u0117: <\/strong>Surinkus duomenis, kitas \u017eingsnis - juos analizuoti. Tam reikia nustatyti duomen\u0173 modelius ir temas. Indukciniame tyrime daug remiamasi kokybini\u0173 duomen\u0173 analiz\u0117s metodais, tokiais kaip kodavimas ir temin\u0117 analiz\u0117.<\/p>\n\n\n\n

Tem\u0173 nustatymas:<\/strong> I\u0161analizav\u0119s duomenis, tyr\u0117jas prad\u0117s identifikuoti i\u0161 duomen\u0173 kylan\u010dias temas. \u0160ios temos atspindi duomen\u0173 modelius arba bendrus bruo\u017eus.<\/p>\n\n\n\n

Teorij\u0173 k\u016brimas:<\/strong> <\/em>Nusta\u010dius temas, tyr\u0117jas prad\u0117s kurti teorijas arba \u0161i\u0173 d\u0117sningum\u0173 paai\u0161kinimus. Teorijos yra pagr\u012fstos duomenimis ir naudojamos steb\u0117tiems rei\u0161kiniams paai\u0161kinti.<\/p>\n\n\n\n

Prane\u0161imai apie i\u0161vadas: <\/em><\/strong>Paskutinis indukcinio tyrimo proceso etapas - rezultat\u0173 pateikimas. Tai galima atlikti \u012fvairiais formatais, \u012fskaitant mokslinius straipsnius, pristatymus ir ataskaitas. Ataskaitose apie i\u0161vadas tur\u0117t\u0173 b\u016bti pagr\u012fsti duomenys ir ai\u0161kiai paai\u0161kintos sukurtos teorijos.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Kas yra dedukciniai tyrimai?<\/h2>\n\n\n\n

Dedukcinis tyrimas - tai tyrimo forma, kuri prasideda nuo teorijos ar hipotez\u0117s ir siekiama patikrinti jos pagr\u012fstum\u0105 renkant ir analizuojant duomenis. Tyr\u0117jas pradeda nuo bendros teorijos ar id\u0117jos, o tada kuria konkre\u010dias hipotezes remdamasis \u0161ia teorija. \u0160ios hipotez\u0117s tikrinamos renkant duomenis, kurie analizuojami siekiant nustatyti, ar jie patvirtina, ar paneigia pradin\u0119 teorij\u0105 ar hipotezes. Dedukciniai tyrimai da\u017enai naudojami kiekybiniuose tyrimuose, kai duomenys renkami taikant strukt\u016brizuotus metodus, pavyzd\u017eiui, apklausas, eksperimentus ar statistin\u0119 analiz\u0119.<\/p>\n\n\n\n

Dedukcinio tyrimo procesas<\/h3>\n\n\n\n

Dedukcinio tyrimo proces\u0105 paprastai sudaro \u0161ie etapai:<\/p>\n\n\n\n

Tyrimo klausimo arba hipotez\u0117s formulavimas: <\/strong>\u0160iame etape nustatomas tyrimo klausimas arba hipotez\u0117, pagr\u012fsta esama teorija arba \u017einiomis.<\/p>\n\n\n\n

Tyrimo plano k\u016brimas<\/strong>: Suformulavus tyrimo klausim\u0105 ar hipotez\u0119, kitas \u017eingsnis - parengti tyrimo plan\u0105, kuriame nurodomi metodai ir proced\u016bros, kurie bus naudojami hipotezei patikrinti.<\/p>\n\n\n\n

Duomen\u0173 rinkimas: <\/em><\/strong>\u0160iame etape duomenys renkami taikant tyrimo plan\u0105 atitinkan\u010dius metodus. Pavyzd\u017eiui, jei tyrimo planas apima apklaus\u0105, duomenys bus renkami naudojant klausimynus.<\/p>\n\n\n\n

Duomen\u0173 analiz\u0117:<\/strong> Surinkus duomenis, kitas \u017eingsnis - juos analizuoti, kad b\u016bt\u0173 galima patikrinti hipotez\u0119. Tam naudojami statistiniai metodai ir kiti analiz\u0117s b\u016bdai, kuriais siekiama nustatyti, ar duomenys patvirtina, ar paneigia hipotez\u0119.<\/p>\n\n\n\n

Rezultat\u0173 ai\u0161kinimas: <\/strong>Paskutinis dedukcinio tyrimo proceso etapas - rezultat\u0173 interpretavimas. Tai apima i\u0161vad\u0173 darym\u0105 remiantis duomen\u0173 analize ir nustatym\u0105, ar hipotez\u0117 buvo patvirtinta, ar paneigta.<\/p>\n\n\n\n

Indukcini\u0173 tyrim\u0173 privalumai ir tr\u016bkumai<\/h2>\n\n\n\n
<\/div>\n\n\n\n
Privalumai<\/th>Tr\u016bkumai<\/th><\/tr><\/thead>
Leiskite tyrin\u0117ti naujas id\u0117jas ir perspektyvas.<\/td>Gali b\u016bti, kad rezultat\u0173 nebus galima pakartoti.<\/td><\/tr>
Gali paskatinti kurti naujas teorijas.<\/td>Tyr\u0117j\u0173 i\u0161vados gali b\u016bti \u0161ali\u0161kos.<\/td><\/tr>
Pateikiama daug ir i\u0161sami\u0173 duomen\u0173.<\/td>Gali b\u016bti netinkamas konkre\u010dioms hipotez\u0117ms tikrinti.<\/td><\/tr>
Lankstus ir lengvai prisitaikantis prie kintan\u010di\u0173 mokslini\u0173 tyrim\u0173 poreiki\u0173.<\/td>Norint nustatyti bendrus d\u0117sningumus, reikia didel\u0117s imties.<\/td><\/tr>
Gerai tinka kokybiniams tyrimo metodams.<\/td>Analiz\u0117 gali pareikalauti daug laiko ir i\u0161tekli\u0173.<\/td><\/tr>
Gali atspind\u0117ti realaus pasaulio rei\u0161kini\u0173 sud\u0117tingum\u0105.<\/td>Negalima nustatyti prie\u017eastinio ry\u0161io.<\/td><\/tr>
Leid\u017eia atrasti netik\u0117t\u0173 rezultat\u0173.<\/td>Negali b\u016bti apibendrintas didesn\u0117ms populiacijoms ar kontekstams.<\/td><\/tr>
Tai gali paskatinti nauj\u0173 mokslini\u0173 tyrim\u0173 klausim\u0173 k\u016brim\u0105.<\/td>Rezultatus gali b\u016bti sunku interpretuoti ar paai\u0161kinti.<\/td><\/tr>
Gali \u012ftraukti dalyvi\u0173 po\u017ei\u016br\u012f.<\/td>Gali b\u016bti sunku standartizuoti \u012fvairi\u0173 tyrim\u0173 metodus.<\/td><\/tr>
Gali b\u016bti naudojamas hipotez\u0117ms ar teorijoms kurti.<\/td>Gali b\u016bti netinkamas konkre\u010dioms prognoz\u0117ms atlikti.<\/td><\/tr>
Gali b\u016bti naudojamas sud\u0117tingiems socialiniams rei\u0161kiniams tirti.<\/td>Renkant duomenis gali pasitaikyti klaid\u0173 ar neatitikim\u0173.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
<\/div>\n\n\n\n

Dedukcini\u0173 tyrim\u0173 privalumai ir tr\u016bkumai<\/h2>\n\n\n\n
<\/div>\n\n\n\n
Privalumai<\/th>Tr\u016bkumai<\/th><\/tr><\/thead>
Leid\u017eia patikrinti konkre\u010dias hipotezes.<\/td>Gali neatspind\u0117ti realaus pasaulio rei\u0161kini\u0173 sud\u0117tingumo.<\/td><\/tr>
Rezultatus da\u017enai galima pakartoti ir jie yra patikimi.<\/td>Gali b\u016bti ribotas nauj\u0173 id\u0117j\u0173 ir perspektyv\u0173 tyrin\u0117jimas.<\/td><\/tr>
Statistin\u0117 analiz\u0117 gali pad\u0117ti nustatyti prie\u017eastin\u012f ry\u0161\u012f.<\/td>Gali nepasteb\u0117ti svarbi\u0173 kontekstini\u0173 veiksni\u0173 arba nukrypim\u0173.<\/td><\/tr>
Gerai tinka kiekybiniams tyrim\u0173 metodams.<\/td>Reikia apriorini\u0173 \u017eini\u0173 arba prielaid\u0173.<\/td><\/tr>
Rezultatai gali b\u016bti naudojami \u012frodymais pagr\u012fstai praktikai.<\/td>Gali reik\u0117ti daug i\u0161tekli\u0173 ir laiko.<\/td><\/tr>
Si\u016blo tikslius ir kiekybinius duomenis.<\/td>Gali atsirasti matavimo klaid\u0173 ar netikslum\u0173.<\/td><\/tr>
Galima gauti duomen\u0173, kuriuos galima apibendrinti populiacijai.<\/td>Gali neatspind\u0117ti individualios patirties ar kintamumo.<\/td><\/tr>
Leid\u017eia kontroliuoti pa\u0161alinius kintamuosius.<\/td>Gali neatspind\u0117ti realios situacijos ar aplinkos.<\/td><\/tr>
Gali lemti teorin\u0119 pa\u017eang\u0105.<\/td>Gali b\u016bti ne\u012fmanoma atsi\u017evelgti \u012f visus galimus kintamuosius.<\/td><\/tr>
Gali b\u016bti naudojamas esamoms teorijoms patvirtinti arba paneigti.<\/td>Gali tur\u0117ti \u012ftakos tyr\u0117jo \u0161ali\u0161kumas arba prielaidos.<\/td><\/tr>
Pateikiami ai\u0161k\u016bs ir strukt\u016brizuoti tyrim\u0173 protokolai.<\/td>Gali b\u016bti netinkamas subjektyviai patir\u010diai tirti.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
<\/div>\n\n\n\n

Indukcini\u0173 ir dedukcini\u0173 tyrim\u0173 pavyzd\u017eiai<\/h2>\n\n\n\n
<\/div>\n\n\n
\n
\"indukciniai<\/figure><\/div>\n\n\n
<\/div>\n\n\n\n

Indukcini\u0173 tyrim\u0173 pavyzd\u017eiai<\/h3>\n\n\n\n
    \n
  1. Tyr\u0117jas stebi tam tikros asmen\u0173 grup\u0117s elgesio modelius ir jais remdamasis kuria teorij\u0105 apie pagrindinius psichologinius procesus, lemian\u010dius j\u0173 elges\u012f.<\/li>\n\n\n\n
  2. Tyr\u0117jas atlieka interviu su pacientais, kurie pasveiko nuo tam tikros ligos, ir gaut\u0105 informacij\u0105 naudoja hipotez\u0117ms apie galimas ligos prie\u017eastis kelti.<\/li>\n\n\n\n
  3. Tyr\u0117jas renka duomenis apie vartotoj\u0173 elgsen\u0105 tam tikroje rinkoje ir naudoja juos siekdamas nustatyti tendencijas ir d\u0117sningumus, kuriais galima remtis rengiant rinkodaros strategijas.<\/li>\n<\/ol>\n\n\n\n

    Dedukcini\u0173 tyrim\u0173 pavyzd\u017eiai<\/h3>\n\n\n\n
      \n
    1. Tyr\u0117jas i\u0161kelia hipotez\u0119 apie dviej\u0173 kintam\u0173j\u0173 ry\u0161\u012f ir j\u0105 patikrina atlikdamas eksperimentin\u012f tyrim\u0105.<\/li>\n\n\n\n
    2. Tyr\u0117jas sukuria teorij\u0105 apie tam tikros politikos poveik\u012f socialin\u0117ms pasekm\u0117ms ir renka duomenis, kad \u012fvertint\u0173, ar teorija yra pagr\u012fsta \u012frodymais.<\/li>\n\n\n\n
    3. Tyr\u0117jas, remdamasis esamomis teorijomis apie tam tikros ligos prie\u017eastis, parengia prognozes apie asmen\u0173, kurie grei\u010diausiai susirgs \u0161ia liga, savybes ir jas patikrina atlikdamas apklaus\u0105 arba atvejo ir kontrol\u0117s tyrim\u0105.<\/li>\n<\/ol>\n\n\n\n

      Daugiau apie indukcinius ir dedukcinius tyrimus su\u017einosite \u017ei\u016br\u0117dami \u0161\u012f vaizdo \u012fra\u0161as \"YouTube<\/a>.<\/p>\n\n\n\n

      Pritr\u016bko infografikos id\u0117j\u0173?<\/h2>\n\n\n\n

      Mind the Graph<\/a> yra galingas \u012frankis, padedantis mokslininkams padidinti savo darbo vizualin\u012f poveik\u012f ir pasiekti platesn\u0119 auditorij\u0105. Mind the Graph<\/a>D\u0117l patogios vartotojo s\u0105sajos ir intuityvi\u0173 \u012franki\u0173 lengva kurti ir keisti grafik\u0105 pagal individualius poreikius. Naudodamiesi platformos paveikslais ir \u0161ablonais, tyr\u0117jai gali veiksmingai perteikti sud\u0117tingas s\u0105vokas ir duomenis platesnei auditorijai. <\/p>\n\n\n\n

      <\/div>\n\n\n
      \n
      \"\"<\/figure><\/div>\n\n\n
      <\/div>\n\n\n\n
      \n
      Prad\u0117kite kurti su Mind the Graph<\/a><\/div>\n<\/div>\n\n\n\n
      <\/div>","protected":false},"excerpt":{"rendered":"

      Atraskite indukcini\u0173 ir dedukcini\u0173 tyrim\u0173 pasaul\u012f. Su\u017einokite, kuo skiriasi \u0161ie du logikos metodai ir kuris i\u0161 j\u0173 jums labiausiai tinka!<\/p>","protected":false},"author":35,"featured_media":28824,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"\nInductive vs Deductive Research: Two Approaches to Data Analysis - Mind the Graph Blog<\/title>\n<meta name=\"description\" content=\"Discover the world of inductive vs deductive research. Find out the difference between these two logic methods and which one is best for you!\" \/>\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\/lt\/indukciniai-ir-dedukciniai-tyrimai\/\" \/>\n<meta property=\"og:locale\" content=\"lt_LT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inductive vs Deductive Research: Two Approaches to Data Analysis\" \/>\n<meta property=\"og:description\" content=\"Discover the world of inductive vs deductive research. Find out the difference between these two logic methods and which one is best for you!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/lt\/indukciniai-ir-dedukciniai-tyrimai\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-02T16:11:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-28T15:22:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/08\/inductive-vs-deductive-research-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=\"Ang\u00e9lica Salom\u00e3o\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Inductive vs Deductive Research: Two Approaches to Data Analysis\" \/>\n<meta name=\"twitter:description\" content=\"Discover the world of inductive vs deductive research. Find out the difference between these two logic methods and which one is best for you!\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/08\/inductive-vs-deductive-research-blog.png\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ang\u00e9lica Salom\u00e3o\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Inductive vs Deductive Research: Two Approaches to Data Analysis - Mind the Graph Blog","description":"Discover the world of inductive vs deductive research. Find out the difference between these two logic methods and which one is best for you!","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/mindthegraph.com\/blog\/lt\/indukciniai-ir-dedukciniai-tyrimai\/","og_locale":"lt_LT","og_type":"article","og_title":"Inductive vs Deductive Research: Two Approaches to Data Analysis","og_description":"Discover the world of inductive vs deductive research. Find out the difference between these two logic methods and which one is best for you!","og_url":"https:\/\/mindthegraph.com\/blog\/lt\/indukciniai-ir-dedukciniai-tyrimai\/","og_site_name":"Mind the Graph Blog","article_published_time":"2023-08-02T16:11:33+00:00","article_modified_time":"2024-11-28T15:22:40+00:00","og_image":[{"width":1124,"height":613,"url":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/08\/inductive-vs-deductive-research-blog.png","type":"image\/png"}],"author":"Ang\u00e9lica Salom\u00e3o","twitter_card":"summary_large_image","twitter_title":"Inductive vs Deductive Research: Two Approaches to Data Analysis","twitter_description":"Discover the world of inductive vs deductive research. Find out the difference between these two logic methods and which one is best for you!","twitter_image":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/08\/inductive-vs-deductive-research-blog.png","twitter_misc":{"Written by":"Ang\u00e9lica Salom\u00e3o","Est. reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/mindthegraph.com\/blog\/inductive-vs-deductive-research\/","url":"https:\/\/mindthegraph.com\/blog\/inductive-vs-deductive-research\/","name":"Inductive vs Deductive Research: Two Approaches to Data Analysis - Mind the Graph Blog","isPartOf":{"@id":"https:\/\/mindthegraph.com\/blog\/#website"},"datePublished":"2023-08-02T16:11:33+00:00","dateModified":"2024-11-28T15:22:40+00:00","author":{"@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/542e3620319366708346388407c01c0a"},"description":"Discover the world of inductive vs deductive research. Find out the difference between these two logic methods and which one is best for you!","breadcrumb":{"@id":"https:\/\/mindthegraph.com\/blog\/inductive-vs-deductive-research\/#breadcrumb"},"inLanguage":"lt-LT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/mindthegraph.com\/blog\/inductive-vs-deductive-research\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/mindthegraph.com\/blog\/inductive-vs-deductive-research\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/mindthegraph.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Inductive vs Deductive Research: Two Approaches to Data Analysis"}]},{"@type":"WebSite","@id":"https:\/\/mindthegraph.com\/blog\/#website","url":"https:\/\/mindthegraph.com\/blog\/","name":"Mind the Graph Blog","description":"Your science can be beautiful!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/mindthegraph.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"lt-LT"},{"@type":"Person","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/542e3620319366708346388407c01c0a","name":"Ang\u00e9lica Salom\u00e3o","image":{"@type":"ImageObject","inLanguage":"lt-LT","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/a59218eda57fb51e0d7aea836e593cd1?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a59218eda57fb51e0d7aea836e593cd1?s=96&d=mm&r=g","caption":"Ang\u00e9lica Salom\u00e3o"},"url":"https:\/\/mindthegraph.com\/blog\/lt\/author\/angelica\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/28819"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/users\/35"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/comments?post=28819"}],"version-history":[{"count":7,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/28819\/revisions"}],"predecessor-version":[{"id":55729,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/28819\/revisions\/55729"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/media\/28824"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/media?parent=28819"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/categories?post=28819"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/tags?post=28819"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}