Hoorcollege 9
Voor een schaalscore wil je eendimensionaliteit.
Factoranalyse gaat alleen over relaties binnen een test.
- Meerdimensionaliteit: clusters van items die samenhangen.
- Eendimensionaliteit: alle items hangen samen.
Factoranalyse helpt ons iets daarover te zeggen. Een of meer achterliggende verklaring voor de verzameling van items. Dan kan je uiteindelijk 1 schaalscore gebruiken voor een onderwerp.
Doelen factoranalyse:
- Beoordelen dimensionaliteit van test
- Realiseren van datareductie
Aantal variabelen is hier items. Kan ook testscores zijn. Die tests bevatten weer meerdere items.
- Boven is een verwachting proberen te bevestigen: het klopt.
- Onder is zonder verwachtingen en kijken hoe het zit.
- Test is tweede factoranalyse
- Items is eerste factoranalyse.
De tien opgaven kunnen vervangen worden door twee scores. --> datareductie. De eerste 5 voor F1 (factorscore) en de laatste 5 voor F2. Dit is dus van 10 naar 2 variabelen, dus dat is datareductie.
Stappen in factoranalyse:
Stap 0 is: zijn mijn data überhaupt wel geschikt om een factoranalyse uit te voeren.
Stap 1: Keuze factormodel
- We doen een confirmerende factoranalyse.
- We onderzoeken of die tweedimensionaliteit van intelligentie klopt. Of we inderdaad twee factoren hebben.
- Zijn deze twee achterliggende factoren te vinden in deze verzameling van variabelen?
- Keuze factormodel nu. We veronderstellen twee clusters van testscores.
- Je werkt met z-scores, want het is gestandaardiseerd, waardoor je ze kan vergelijken.
- We veronderstellen twee achterliggende factoren.
F1 en F2 hebben op alle items een invloed. De sterkte van de invloed wordt aangegeven met een a. Dat wordt een resultaat van de analyse.
Testscores zijn de variabele X
z-score heeft een standaardafwijking van 1.
![](https://lh4.googleusercontent.com/14xd8KcAesQnC-jpv0mwplsnBuIrPMbERRdMe9O-f8Gvq7V6lBJCYm6VYDBDgHXvr7649Hhw5THy3Ohsxzq-oFIKO8TEpm05ez7aEBgEE9mIqzvQZhqSJtnGOJ6QR5hHXaklqohtGXcSZGgDnAwXtsw)
Dit is een transformatie.
- Factorlading = samenhang tussen de factor en de afzonderlijke observatie.
- Hoe goed zo’n factor van invloed is op zo’n afzonderlijk item.
- Factor is niet observeerbaar. Wat we wel kunnen zien zijn die antwoorden van de respondent (de items).
Voor ieder individu krijg je een andere F omdat er voor ieder individu een andere combinatie van z-scores is gerealiseerd. Niet iedereen heeft dezelfde scores op de test en dus ook niet dezelfde z-scores, en dus ook niet dezelfde Factorscore. De a’tjes zijn wel allemaal hetzelfde. Factorscores hebben een verdeling, een gemiddelde en en een standaardafwijking.
- Gemiddelde is 0 en de standaardafwijking is 1, omdat we hier te maken hebben met z-scores.
- Factorscore van 0, dan heeft hij een score op de 10 items gelijk aan het gemiddelde van de groep.
- + en - betekent boven of onder het gemiddelde. En het wordt uitgedrukt in standaardafwijkingen.
- We hebben van tevoren een idee over het aantal achterliggende factoren.
Stap 2: Bepalen aantal factoren
- Eigenwaarde criterium
- Knikcriterium
- Hoe goed is de factor in staat spreiding in items te verklaren en te representeren.
- Als je geen idee hebt, dan ga je kijken hoeveel het er zijn.
- Conformerend is wat je verwacht of dat ook wordt gevonden.
- Dit is interne structuur van de begripsvaliditeit.
- Voor elke test een lading op factor 1 en factor 2.
- Hoe groter in absolute zin (verder van 0, dus -1 en +1) hoe sterker de variabele samenhangt met een factor.
- Het is zinvol als deze factor spreiding in de afzonderlijke items verklaart. Dat is de eigenwaarde van de factor.
- Het maximaal aantal mogelijke factoren is gelijk aan het totaal aantal variabelen (k) in de analyse. We willen er twee, want we willen ook datareductie.
- Factor k is de laatste factor die je kan onderscheiden bij 11 items is dit factor 11.
- Met minder factoren dan 11, minder dan k factoren. Dan wordt er ook minder variantie verklaard.
- Je wil zo min mogelijk factoren vinden die zoveel mogelijk variantie verklaren.
- Verklaarde variantie is de eigenwaarde en dat is een statistisch criterium.
- Elke afzonderlijke variabele is naar z-scores omgezet. Daar is gemiddelde gelijk aan 0 en SD gelijk aan 1.
- S kwadraat is de variantie, dus die is ook 1, omdat S (SD) gelijk is aan 1.
- 11x is de variantie gelijk aan 1, want we hebben 11 items. Som van de varianties is dus gelijk aan k, dus 11 in dit geval.
- Dat is alle spreiding die we hebben voor de variabelen die we gebruiken.
Eigenwaarde is de variantie die door de factor verklaard wordt.
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)
- De som van de gekwadrateerde ladingen is de eigenwaarde van de factor.
- Eigenwaarde groter dan 1? Dan is de factor statistisch gezien te onderscheiden.
- Eerste factor is groter dan 1, dus statistisch zinvol te onderscheiden.
- Tweede factor is niet zinvol te onderscheiden.
- Op basis van deze analyse selecteren we 1 achterliggende factor.
- Vaak krijg je veel meer factoren dan zinvol bij eigenwaarde manier.
Dan heb je een andere procedure. Om te komen op minder zinvolle factoren. Gebaseerd op een Scree-plot.
- De eigenwaarde voor elke factor.
- Zo veel factoren kun je onderscheiden als dat er variabelen zijn.
- Je ziet een aflopende hoeveelheid van eigenwaardes.
- Duidelijk 1 belangrijke factor en daarna loopt het af. Wat doen we dan. We trekken een lijn. En we trekken een lijn van de hoogste eigenwaarde naar de eerste van de langzaam aflopende lijn. Dan heb je een knik. En we tellen het aantal factoren met een eigenwaarde boven die knik.
![](https://lh5.googleusercontent.com/BY6f8PFDu-0DJvN9GP1x8IxM-z95fxh766XHO2eUhQFIiaObEXVxvkBL0ugXdBp4H62rKnrmszfA7Tm-UGGX31_2Ytmz3C2U7HQ1l2YrTo3qcZ7SMi2ywdQx5F0XMNQGkjgUZ4le-UZaoWuqFNVI2DA)
- Dat is er dus 1. Kijk dus naar vóór de knik.
- Conclusie: Je moet dus 1 factor selecteren.
Stap 3: Interpretatie van de factoren
- Orthogonale rotatie
- Oblique rotatie
- De manipulatie is rotatie. Dat roteren zorgt ervoor dat de factorladingen gewijzigd worden. Zodat het makkelijker te interpreteren is.
- Na roteren hebben we weer factorladingen. Hoge lading is grote samenhang.
- Hoogste lading is het meest representatief voor de factor die daarop van invloed is.
- Dan kunnen we een criterium gebruiken: hij is goed vanaf .3 of vanaf .4
- Ladingen zijn veranderd door de rotatie.
- Hierdoor hoge lading op 1 factor en lage lading op een andere factor.
- We kijken naar hoge lading na rotatie hoger dan .30
Orthogonale is recht
- Na rotatie assen nog steeds loodrecht op elkaar. Twee factoren zijn onafhankelijk, niet gecorreleerd.
Oblique is scheef
- Hier is samenhang, assen buigen naar elkaar toe. Dat ontstaat door naar elkaar toe buigen.
- De factorladingen die uit de rechte rotatie komen, kan je beschouwen als de correlatie. Samenhang tussen de factor en de variabelen.
Die scheve rotatie moet je iets anders interpreteren.
- De ladingen geven de sterkte van de relatie tussen de factor en de variabelen.
- Sterke samenhang tussen de twee factoren, dan moet je misschien gaan denken om er toch maar uit te gaan van 1.
- Wenselijk: interpretatie is het eenvoudigst als op 1 factor de ene helft sterke lading en de andere helft kleine lading. En andersom voor factor 2.
- Zo een eenvoudig mogelijk model wil je hebben, maar het moet wel werken.
- Factoroplossing: het interpreteren. Maar wat is de kwaliteit hiervan?
Factoroplossing =
- Definitieve keuze voor aantal factoren
- Gekozen rotatie (orthogonaal of oblique)
Je hebt altijd wel beetje van beide: slachtoffer en dader. Er is dus altijd wel samenhang tussen de factoren. Kleine samenhang. Dus de twee factoren zijn losse individuele factoren.
Stap 4: Kwaliteit factoroplossing
- Simple structure
- Correlatie tussen factoren
- Proportie verklaarde variantie
- Communaliteit
We kijken naar de eenvoud van de structuur. De structuur die het gevolg is van de rotatie.
- Zag er goed uit, maar sommige variabelen pasten toch niet onder een factor.
- De correlatie tussen factoren was niet al te groot.
- Verschillen tussen geschatte en geobserveerde correlaties boeit niet.
Hoe goed zijn de afzonderlijke items verklaard door de factoroplossing.
- De items moeten gerepresenteerd worden door de factoren. Als hij geen goede verklaarde variantie heeft dan moet je misschien het item weghalen.
- Eigenwaarde is verklaarde variantie door een factor in alle items
- Communaliteit is de verklaarde variantie in een variabele door de factoroplossing.
- Eigenwaarde is een factor kenmerk
- Communaliteit is een variabele kenmerk
- Verklaarde variantie door een factor is de eigenwaarde
- Proportie verklaarde variantie van de factor is de eigenwaarde delen door de totale variantie.
- Totale variantie is gelijk aan het aantal variabelen in de analyse.
- Eigenwaarde delen door die 11 (totaal aantal items)
![](data:image/png;base64,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)
![](https://lh6.googleusercontent.com/LoYXu9R5pMcEtvrZxaMKglW-Th8eyBv0u_gdQopXCaUIsSQ2cqLlz_ADXONnk_9cVB1njpQkNwuJoN1ytw8vQn5Z-CBISOvms7VpUnhSdBrBphlpfYd-nVQdku7NUY78HbJosWzjagPMpXRaHLIFifE)
Hier tel je dus de verklaarde variantie van de factoren op. Dus als je twee factoren hebt is het de een + de ander.
- De eigenwaarde van factor 1 en de eigenwaarde van factor 2 optellen en delen door de totale variantie.
- 36,2% verklaarde variantie door de factor oplossing van alles wat we aan spreiding hebben in die 41 variabelen in onze analyse.
Hoe worden de afzonderlijke items verklaard door de twee factoren. Het kan zijn dat de factoren sommige items niet goed representeren en die komen dan in aanmerking om verwijderd te worden.
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)
Je moet nu factorladingen van de horizontale kwadrateren.Voor elke variabele zijn er twee factorladingen. Die twee factorladingen kwadrateren en optellen, dan krijg je de communaliteit. Dat is de proportie verklaarde variantie in de betreffende variabele door de factoroplossing.
- Als de communaliteit laag is, wordt de variabele slecht gepresenteerd door de factoroplossing en kan hij verwijderd worden.
- Factorladingen die horen bij een variabele worden gekwadrateerd en opgeteld. Dit wordt gedaan met ongeroteerde factorladingen.
- Verklaarde variantie is dan onder de 10% dus dan sluit de factoroplossing niet goed aan bij de variabele.
- Sommige vragen kunnen dus verwijderd worden.
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