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Samenvatting Snel overzicht SPSS functies
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Overzicht van de SPSS functies voor data analyse H5, H19 t/m H24. Makkelijk om erbij te houden als je aan het oefenen ben met SPSS.
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Data analyse SPSS functesStandaard dingen:
Om mean en variance te krijgen:
Analyze -> descriptie statstcs -> descripties -> select x & y -> optons -> select mean and iariance
Om covariance en correlaton te krijgen:
Analyze -> correlate -> biiariate -> select x & y -> optons -> select crossproduct
Residuals (= e) ian sample regression:
Analyze -> regression -> linear -> select y as dependent and x as independent -> click saie -> select
unstandardized residuals
Predicted values:
Analyze -> regression -> linear -> select y as dependent and x as independent -> click saie -> select
unstandardized predicted ialues
Datum flteren:
Data -> select cases with conditon date > jaarmaand
Een variabele op volgorde zetten:
Data -> sort cases -> select iariabele die je wil sorteren -> ascending
Dummies maken:
Transform -> recode into diferent iariables
numeric iariable -> output iariable: iariabele waar je een dummy ian wil maken biji. EDU
output iariable: name: Dlei1 -> click change
Click: old and new ialues
old ialue -> ialue: 1; new ialue -> ialue 1
add
old ialue -> all other ialues; new ialue: ialue 0
Herhaal dit ioor alle dummies dus biji. Dlei2, Dlei3, …
output iariable: name: Dlei2 -> click change
Click: old and new ialues
old ialue -> ialue: 2; new ialue -> ialue 1
add
old ialue -> all other ialues; new ialue: ialue 0
Manier 2 ioor dummies:
Transform -> compute -> target D.. -> numeric is iariabele = 1 of iariabele = 2,…
Interacte term: hierbij doe je independent iariabelen iermenigiuldigen met elkaar.
Transform -> compute iariable -> target iariable noem je biji. ageXweight -> numeric expression:
Age * Weight ( X1* X2)
Moet je ierklaren waarom het een goede toeioeging is, kun je kijken naar de R 2.. Is er nu meer in het
model ierklaard dan zonder de interactee -> Ja percentage is hoger met interacte term, dan is het
een goede toeioeging.
LAG aanmaken:
Transform -> compute iariable -> target LAG_iar-> numeric expression LAG(iariabele)
Door de lag begint de data met een iertraging. Wanneer de iraag biji. is AR(5) (ian autoregressiie)
gaat het om een iertraging ian 5, je maakt dus meerdere lags aan.
1
, Data analyse SPSS functes
Groei iariabele:
tranform -> compute -> Target iariable G -> numeric expression is 100 (als je in % wil) * ( iariabele –
LAGiariabele))/ LAG iariabele)
Verschillen in tme series. Bijioorbeeld delta uitrekenen:
transform -> compute -> numeric expression: (iariabele – LAGiariabele)
Log aanmaken:
transform -> compute -> numeric expression: ln(iariabele)
Afezen in uttutt:
In de ANOVA table zijn de SSE (sum of squares –> residuals), SST (sum of squares -> total) en de SSR
(sum of squares -> regression) te iinden.
Je kunt K afezen bij regression, N- (K+ 1) bij residuals en N-1 bij total. g is het aantal iariabelen die je
test.
SE (standard error estmated model) is te iinden in de model summary table en S B1 (realized standard
error ian B1) is te iinden in de coefcients table.
R2 en R2adjusted kun je afezen in the model summary table. En geien aan hoeieel ian de data ierklaard
wordt met het model.
Figtren maken:
Scater plot:
Graphs -> legacy dialogs -> scatter -> simple scatter
Scater plot met regression line erin:
Klikken op scatter om chart editor te openen -> elements -> ft line at total
Histogram
Graphs -> legacy dialogs -> histogram
Mudel asstmutuns:
Assumpton 1 linearity:
Analyze -> regression -> linear -> y as dependent en x as independent -> click saie buttom -> select
standardized residuals -> contnue and click ok
Make scatter: graphs -> legacy dialogs -> scatter/dot -> simple scatter -> independent op X as en
standard residuals op Y as.
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