Samenvatting SPSS: Multivariate Data Analyse

Practical 1 MULTIPLE REGRESSION ANALYSIS
Pearson correlation

Analyze  correlate  bivariate  enter variables  OK

Perform linear regression

Analyze  regression  linear  add dependent and independent variable (regression of Y on X) 
add all extra things that the question asks  OK

Removing outliers

Data  select cases  if condition is satisfied  add what you want  OK

Removing non significant predictors

Kijk naar Coefficients table om te zien wat wel/niet significant is.

Perform linear regression, and remove non-significant predictor.



Practical 2 ANOVA
Cross tabulation

Analyze  descriptives  crosstabs  add variables  OK

ANOVA

Analyze  general lineair model  univariate

Tukey

Run ANOVA  in Post Hoc choose the desired variable  Tukey  OK

Eta-sqared

Sum of squares (of significant variable) / total sum of squares = the power it can predict

ASSUMPTIONS

Kan de Ho voor gelijke groepsvarianties worden gehandhaafd  kijk naar leven’s test  BASED ON
MEAN



Practical 3 ANCOVA
Is it useful to use (variable) as a covariate in this study? (checking assumptions)