Bunndle for the course Multivariate Data Analysis (2019)
Multivariate Data Analysis
Multivariate means exploring the dynamics between 3 or more variables.
Multiple regression analysis (MRA) can be done when all variables are interval level (e.g. weight, height, IQ score).
The research question for MRA is: can Y be predicted from X1 and/or
........Read moreWeek 2: Analysis of variance (ANOVA)
ANOVA can be done when the independent variables are nominal level and the dependent variable is interval level.
Research question: What is the effect of X1 and X2 on Y?
Check the assumptions of homogeneity of the variances and normality of
........Read moreWeek 3: Analysis of covariance (ANCOVA)
ANCOVA can be used when one of the independent variables (factor X) is nominal level,
while the other one (covariate) is interval level.
The goal of ANCOVA is the reduction of error variance and removal of systematic bias.
The research question is: What
........Read moreWeek 4: Logistic Regression Analysis (LRA)
LRA can be used when the dependent variable (Y) is binary and the predictors (X1, X2) interval level (or binary).
The research question is: Can Y be predicted fromX1and/orX2?
Week 5: MANOVA and Descriptive DA
The goal of MANOVA and of Descriptive DA is the optimal prediction of differences between group means on several interval variables.
Why? Often very natural to compare groups on more than one variable, for example:
• quality and quantity of task performance;
• different stress
........Read moreWhen do we use it? When comparing two or more (dependent) variable means for only one group (within-subjects [WS] comparisons).
We use RMA in 4 types of situations:
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