Samenvatting van de cursus MDA van de oefeningen. Uitleg over wat je in SPSS moet ingeven en hoe je een output moet interpreteren. Voor diegene die geen tijd hebben om de hele cursus nog te leren.
* Data verkennen
* Lineaire / Meervoudige / logistische regressie
* Anova 1 way & 2 way & repeated & m...
MDA cursus: SPSS
Verkennen van data
Nieuwe variabele aanmaken: Transform Compute variable (functional group: statistical)
1) Data gaan verkennen:
Analyze Descriptives statistics explore
2) Interne consistentie vragenlijst nagaan:
Analyze scale reliability analysis
Statistics: Item / Scale / Scale Deleted (Hier zie je hoeveel cronbach’s Alpha wordt als je dat
item verwijdert)
3) Correlatiematrix opvragen:
Graphs legacy dialogs Scatter
4) missing data
Transform replace missings values series mean
(We vervangen de missing values door het gemiddelde. Hierdoor gaat de standaardafwijking dalen
doordat we de ontbrekende waarnemingen vervangen door een centrale waarde)
5) Werkhypothese
Lineariteit: Scatterplot + Pearson correlatie (is er een verband?)
Normaliteit: QQ plot + Kolomogorov Smirnov [variabele op nominale schaal]
(of de verdeling normaal verdeeld is)
Homoscedasticiteit: Scatterplot + Levene’s test (of de verdeling homogeen is)
Transform recode different variables old & new values ingeven + value (moet numeriek zijn)
en change klikken.
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