Inyathelo 1 yeZinqanaba ezinhlanu kwi-SEM
Isiseko esisiseko se-Structured Equation Modeling (SEM) kukuba umcwaningi weemarike "unokuvavanya ukuba ngaba iimpendulo ezithile ziyahambelana ngokusetyenzana kobudlelwane obunxibelelwano ngokuhlolisisa ukuhluka kunye ne-covariances yezinto eziguqukileyo" (StatSoft, 2011) Oku mhlawumbi omnye iingxelo ezicacileyo malunga neSEM, UKUBA uqonda amagama asetyenziswa kwisivakalisi. Ngoko, masihlole.
Uguquko - (iNoun) NgokukaMerriam-Webster: "1).
Isalathisi okanye into emele iguquke okanye ishintshe; 2) Ubuninzi bokuthi ngexesha lokubala kuthathwa ukuba litshintshe okanye lukwazi ukuhluka kwixabiso. "
Ulwalamano olumgca - Ngokutsho kwe-Investopedia: Ngendlela elula kakhulu, "ulwalamano phakathi kwezinto eziguquguqukayo kunye nolwazi oluhlala lunokuthi lubonakaliswe kumzobo apho uhlaziyo oluqhubekayo kunye nolutshintsho luxhunyaniswa ngomgca ochanekileyo." Umzekelo uya kuba yindleko yeenqanawa ezikhuphuka ngendlela efanelekileyo njengoko omnye ephakamisa umgca kwiinqanawa ezinkulu kunye ezinkulu njengoko zilinganiswe ngamanqaku angaphezulu.
Ukungafani - Ngokutsho kweNkcazelo Yoshishino: "1) Umahluko phakathi kwesiphumo esilindelekileyo kunye nesiphumo sangempela; 2) Kwimibare, i-arithmetic ithetha ngezikwere zokuphambuka kwazo zonke ixabiso kwiisethi yamanani ukusuka kwi-arithmetic. kwaye ingcambu yesikwere (ukuphambuka okuqhelekileyo) kubaluleke kakhulu njengemilinganiselo yokusabalalisa. "
I-Covariance eyahlukileyo - Ngokutsho kweMerriam-Webster: "Kwimanani kunye nenokwenzeka ukuba inkolelo, i-covariance yinkalo yezinto ezimbini eziguqukayo kunye kunye."
I-SEM isekelwe kwisakhiwo esisekelwe kwiMathematika
Le nyathelo lokuqala kwinkqubo ye-SEM ingumnye umcwaningi wemakethe ochaza - okanye umzobo, ngokusebenzisa umzobo wendlela - ngendlela akholelwa ngayo ukuba iimpendulo zihlobene.
Kunokukunceda ukucinga ngefuthe lokuguquguquka nokuphindaphindiweyo. Ngokomzekelo, ukuba uluhlu lwamanani luyanda nge-K rhoqo, ithetha kwaye ukuphambuka okuqhelekileyo kwandiswe ngokubaluleka ngokupheleleyo kweK. Ngeenombolo, kubonakala ngathi: Iimpawu 1,2, kunye ne-3: Ithetha 2, kwaye ukuphambuka okuqhelekileyo kukuthi 1. Yithi K = 4. Ukupapashwa kwe-1, 2, no-3 ngu-K kubangelwa ngo-4, 8, 12. Ngo-4, 8, no-12, ithetha ngu-8 kwaye ukuphambuka okuqhelekileyo ngu-4. Uhluko luyi-16. Khumbula, "ukuhlukahluka kumlinganiselo wokuba ixabiso elingakanani kwi-dataset lisuka kwintetho." Ngenxa yoko, ukuphambuka okuqhelekileyo kwesikwere.
Ngenxa yokuba uyazi ukuba iisethi ezimbini zamanani zidibeneyo, kwaye uyazi ukuba uluhlu luni, unokuvavanya ngokungqalileyo ingcamango yokuba elinye iqela lamanani linxulumene nelinye isethi yamanani ngokuthelekisa ukuhluka kwezinto ezikhoyo.
Ulwazi malunga ne-Structure of Equation Modeling ngezantsi lusekelwe kwinqulatho evela kwincwadi ethi RH Hoyle (ed.) 1995. I-Equation Modation Modeling. I-SAGE Publications, Inc. I-Thousand Oaks, i-CA inesidima seGoogle Books, kunye nokuchazwa ngenyameko kokubhala okunzima kwi-SEM nguRicka Stoelting, owayesakuba yi-San Francisco State University.
Kwimodeli yokucacisa imodeli, imodeli ichazwa ngokwemigangatho yayo. Iintlobo ezimbini zeerameters ziqwalaselwa: Iipalameters ezilungisiweyo kunye neeparitha zamahhala.
Kutheni iiparameters ezikhethiweyo ziCwangcisiwe okanye zikhululekile?
Ukuchonga ukuba yeyiphi iipameters echanekileyo kunye naziphi iiparitha ezikhululekile kubaluleke kakhulu kwisigqibelelo kunye nokusetyenziswa kwesimo se-SEM. Iimpawu eziqingqiweyo okanye zamahhala zichonga indlela eziza kuqhathaniswa ngayo. Iimodeli zeemodeli ziyi-1) Umzobo ogqityiweyo, 2) isampula yoluntu lwesampula, kunye 3) i-matrix covariance. Ngolunye lwalezi zixhobo kubalulekile ukuvavanya ukulungelelanisa imodeli (okuyiNyathelo 4)
Umcwaningi weemarike unquma ukuba yeyiphi iipameters ezikhethiweyo mahhala kunye naziphi iipameters ezikhethiweyo. Iinqunto ezenziwe ngumphandi weemarike zibonakalisa i- priori hypothesis.
kuthetha ukuba "ukususela kwangaphambili" ngesiLatini, ngoko kubhekisela kwingcamango eyenziwa phambi kokuba uphando okanye uvavanyo lwenzeke. Ngoko i -priori hypothesis yinto eqiqa ngayo ngokuphathelele ubudlelwane obuya kuhlolisiswa kwinkqubo ye-SEM.
Umcwaningi weemarike wenza ukuba uqaphele ngokubanzi malunga nendlela eya kubaluleka ngayo kwisakhiwo esithandanayo. Umcwaningi weemarike ugxininisa iiparitha eziza kudlala inxaxheba kwisampula yokuhlukana (okubonakalayo) kunye nakwiimodrivari ze-covariance. Ngamanye amagama, umphandi weemarike ulindele ntoni ukuba ubudlelwane bube khona?
Ipharamitha echanekileyo ngokubanzi isungulwe kwi-zero. I-Zero ithetha ukuba akukho ubudlelwane phakathi kweenguqu. Ngenxa yokuba imodeli isekelwe kumendo, iiparameters ezichanekileyo ziya kuba neendlela ezinobumba bombhalo. Ukwahlukana, okwenyani, kwenzeka, ukuba inani le-zero linikezelwe umendo. Ayikho indlela ekhangelwa kwisichazo se-SEM somendo onokubaluleka kwezinga.
Umcwaningi wemarike ulindele ukuba iiparameter zamahhala zibe nexabiso ngaphandle kweyero. Iiparameter zamahhala ziqikelelwa kwi-data ebonakalayo. Kulo mdwebo we-SEM, iindlela zeeparameter zamahhala ziphawulwe nge-asterisks.
Ulungele ukuqhubela phambili?
- Ukuchonga uMzekelo
- Linganisa uMzekelo
- Vavanya i-Model Fit
- Yenza umzekelo