{"id":26160,"date":"2023-01-10T17:15:13","date_gmt":"2023-01-10T20:15:13","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/what-is-sustainable-fuel-copy\/"},"modified":"2024-12-05T16:10:47","modified_gmt":"2024-12-05T19:10:47","slug":"cronbach-alpha","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/lv\/cronbach-alpha\/","title":{"rendered":"K\u0101da ir Kronbaha alfa noz\u012bme un k\u0101 to interpret\u0113t?"},"content":{"rendered":"

Uzticam\u012bba ie\u0146em centr\u0101lo vietu, kad main\u012bgie lielumi, kas ieg\u016bti no summ\u0113t\u0101m skal\u0101m, tiek izmantoti k\u0101 prognoz\u0113jo\u0161ie komponenti objekt\u012bvos mode\u013cos. T\u0101 k\u0101 summ\u0113t\u0101s skalas sast\u0101v no savstarp\u0113ji saist\u012btiem poste\u0146iem, kas paredz\u0113ti pamat\u0101 eso\u0161o main\u012bgo nov\u0113rt\u0113\u0161anai, ir \u013coti svar\u012bgi zin\u0101t, vai tas pats poste\u0146u kopums dotu t\u0101das pa\u0161as atbildes uz identiskiem jaut\u0101jumiem, ja tos p\u0101rveidotu un atk\u0101rtoti uzdotu tiem pa\u0161iem respondentiem.<\/p>\n\n\n\n

Main\u012bgie lielumi tiek uzskat\u012bti par ticamiem tikai tad, kad tie nodro\u0161ina stabilu un uzticamu reakciju vair\u0101ku testa atk\u0101rtojumu laik\u0101. <\/p>\n\n\n\n

Kronbaha alfa ir metode atbil\u017eu ieg\u016b\u0161anai, kas nepiecie\u0161ama, lai noteiktu main\u012bgo lielumu ticam\u012bbu. Turpiniet las\u012bt, lai uzzin\u0101tu vair\u0101k par Kronbaha alfa un t\u0101 interpret\u0101ciju. <\/p>\n\n\n\n

Kas ir Kronbaha alfa un kam to izmanto?<\/h2>\n\n\n\n

Kronbaha alfa ir ticam\u012bbas nov\u0113rt\u0113\u0161anas metode, kas sal\u012bdzina kop\u012bg\u0101 main\u012bg\u0101 lieluma jeb kovariances daudzumu starp daudziem instrument\u0101 ietilpsto\u0161ajiem elementiem ar kop\u0113j\u0101 main\u012bg\u0101 lieluma daudzumu. Ja instruments ir uzticams, tad starp visiem poste\u0146iem j\u0101b\u016bt daudz\u0101m kovarianc\u0113m attiec\u012bb\u0101 pret dispersiju.<\/p>\n\n\n\n

Kronbaha alfa tiek apr\u0113\u0137in\u0101ta, vid\u0113ji apr\u0113\u0137inot visas iesp\u0113jam\u0101s sadal\u012bt\u0101s ticam\u012bbas. Kronbaha alfa var apr\u0113\u0137in\u0101t ar liel\u0101ko da\u013cu pa\u0161laik izmantoto statistikas datorprogrammu, un t\u0101s bie\u017ei vien ir noder\u012bgas, lai izp\u0113t\u012btu, k\u0101da Kronbaha alfa k\u013c\u016bst, ja tiek izsl\u0113gts k\u0101ds konkr\u0113ts postenis. Ja Kronbaha alfa iev\u0113rojami palielin\u0101s p\u0113c poste\u0146a izsl\u0113g\u0161anas, \u0161is postenis, iesp\u0113jams, nav iek\u013caujams m\u0113r\u012bjum\u0101.<\/p>\n\n\n\n

Ko tie\u0161i tas noz\u012bm\u0113? S\u0101ksim ar uzticam\u012bbu. Pie\u0146emsim, ka persona aizpilda apmierin\u0101t\u012bbas aptauju. Ja, vien\u0101dos apst\u0101k\u013cos veicot aptauju atk\u0101rtoti, tiek ieg\u016bti t\u0101di pa\u0161i vai sal\u012bdzin\u0101mi rezult\u0101ti, j\u016bsu apmierin\u0101t\u012bbas rezult\u0101ts ir \u013coti uzticams (nemain\u012bgs). Tom\u0113r, ja persona divreiz veic apmierin\u0101t\u012bbas aptauju, saglab\u0101jot vien\u0101du paties\u0101s apmierin\u0101t\u012bbas l\u012bmeni, un viens rezult\u0101ts uzr\u0101da lielu apmierin\u0101t\u012bbu, bet otrs - mazu apmierin\u0101t\u012bbu, \u0161is r\u0101d\u012bt\u0101js b\u016bs piln\u012bgi neuzticams.<\/p>\n\n\n\n

Vienk\u0101r\u0161\u0101k sakot, Kronbaha alfa nodro\u0161ina vienk\u0101r\u0161u metodi, lai noteiktu, vai rezult\u0101ts ir vai nav ticams. To izmanto ar domu, ka jums ir vair\u0101ki poste\u0146i, kas m\u0113ra vienu un to pa\u0161u pamatfaktoru: piem\u0113ram, apmierin\u0101t\u012bbas aptauj\u0101 var b\u016bt se\u0161i jaut\u0101jumi, no kuriem katrs uzdod atsevi\u0161\u0137u jaut\u0101jumu, bet, tos apvienojot, var uzskat\u012bt, ka tie m\u0113ra visp\u0101r\u0113jo apmierin\u0101t\u012bbu.<\/p>\n\n\n\n

Kronbaha alfa formula<\/h3>\n\n\n\n

Kronbaha alfa parasti tiek apr\u0113\u0137in\u0101ta, izmantojot statistikas programmat\u016bru. No otras puses, zin\u0101\u0161anas par to, k\u0101 to apr\u0113\u0137in\u0101t pa\u0161am, var pal\u012bdz\u0113t jums to saprast. <\/p>\n\n\n\n

Kronbaha alfa apr\u0113\u0137ina \u0161\u0101di.<\/p>\n\n\n\n

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\"\"\/<\/figure><\/div>\n\n\n
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N = ir lietu skaits. <\/p>\n\n\n\n

c\u0305 = apz\u012bm\u0113 kovari\u0101ciju starp elementiem. <\/p>\n\n\n\n

v\u0305 = apz\u012bm\u0113 poste\u0146a dispersiju.<\/p>\n\n\n\n

Kronbaha alfa apr\u0113\u0137ina, dalot vid\u0113jo kovari\u0101ciju ar vid\u0113jo kop\u0113jo dispersiju. Lai ieg\u016btu augstu alfa v\u0113rt\u012bbu, ir nepiecie\u0161ama iev\u0113rojama kovariance attiec\u012bb\u0101 pret poste\u0146u dispersiju, un saikne starp jaut\u0101jumiem veido liel\u0101ko da\u013cu no kop\u0113j\u0101s vari\u0101cijas. Ir v\u0113rts ar\u012b piemin\u0113t, ka, pievienojot vair\u0101k elementu, Kronbaha alfa v\u0113rt\u012bbai ir tendence pieaugt.<\/p>\n\n\n\n

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

K\u0101 to interpret\u0113t?<\/h2>\n\n\n\n

Pie\u0146emsim, ka konsult\u0101ciju uz\u0146\u0113mums v\u0113las veikt aptauju, lai noskaidrotu, cik apmierin\u0101ti pat\u0113r\u0113t\u0101ji ir ar t\u0101 pakalpojumu operativit\u0101ti. J\u016bs izveidojat \u010detrus turpm\u0101k par\u0101d\u012btos aptaujas jaut\u0101jumus: <\/p>\n\n\n\n

Preces:<\/p>\n\n\n\n

    \n
  1. Uz manu piepras\u012bjumu tika atbild\u0113ts savlaic\u012bgi. <\/li>\n\n\n\n
  2. Esmu apmierin\u0101ts ar pakalpojuma snieg\u0161anas \u0101trumu. <\/li>\n\n\n\n
  3. Laiks, kas man bija j\u0101gaida uz pakalpojumiem, bija pie\u0146emams. <\/li>\n\n\n\n
  4. Esmu apmierin\u0101ts ar sniegtajiem pakalpojumiem.<\/li>\n<\/ol>\n\n\n\n

    Visos \u0161ajos jaut\u0101jumos izmantota 5 punktu Likerta skala, kur 1 noz\u012bm\u0113 \u013coti neapmierin\u0101ts, bet 5 - \u013coti apmierin\u0101ts. <\/p>\n\n\n\n

    Lai veiktu \u0161o anal\u012bzi, vispirms j\u0101apr\u0113\u0137ina kop\u0113jais Kronbaha alfa koeficients un p\u0113c tam j\u0101p\u0101rr\u0113\u0137ina, izlai\u017eot katru elementu, lai ieg\u016btu papildu ieskatu un svar\u012bgu inform\u0101ciju par katru elementu. <\/p>\n\n\n\n

    <\/div>\n\n\n
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    \"\"\/<\/figure><\/div>\n\n\n

    <\/a><\/p>\n\n\n\n

    <\/div>\n\n\n\n

    Kop\u0113jais Kronbaha alfa koeficients ir 0,7853. Liel\u0101k\u0101 da\u013ca cilv\u0113ku to uzskat\u012btu par pie\u0146emamu. Tom\u0113r, izlai\u017eot 4. punktu, ieg\u016btais rezult\u0101ts ir 0,921674, kas nor\u0101da, ka tikai 1., 2. un 3. punkts atspogu\u013co klientu apkalpo\u0161anas operativit\u0101ti. 4. postenis b\u016btu j\u0101izsl\u0113dz vai j\u0101p\u0101rskata un j\u0101p\u0101rbauda atk\u0101rtoti.<\/p>\n\n\n\n

    Augsta ietekme un liel\u0101ka j\u016bsu darba atpaz\u012bstam\u012bba<\/h2>\n\n\n\n

    Izmantojot vizu\u0101los l\u012bdzek\u013cus sav\u0101 darb\u0101, j\u016bs varat palielin\u0101t t\u0101 atpaz\u012bstam\u012bbu un ieg\u016bt atmi\u0146\u0101. Cilv\u0113ki daudz lab\u0101k atceras redzamus att\u0113lus nek\u0101 las\u012btus v\u0101rdus, t\u0101p\u0113c vizu\u0101lie l\u012bdzek\u013ci ir ide\u0101ls veids, k\u0101 uzlabot saprotam\u012bbu. Izmantojiet Atcerieties grafiku<\/a> lai sagatavotu satrieco\u0161as infografikas, ilustr\u0101cijas un plak\u0101tus, kas papildina j\u016bsu darbu.<\/p>\n\n\n\n

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