Multivariate Correlational Research Flashcards
Multivariate Correlations
Can build a case for cause using different techniques (pattern + parsimony, longitudinal research design)
Longitudinal Designs
A study in which the same variables are measured in the same people at different times. Can provide evidence for temporal precedence. It follows the same group of people over time.W
What makes longitudinal deisngs multivariate?
We are intersted in multiple variabels and their relationships to each other
Cross-Sectional Correlations
Correlation b/w 2 variables measured at the same point in time. Investigates covariance
Autocorrelations
The correlation of one variable w/itself, is measured at 2 different time points. Investigate the stability (or instability) of traits or behaviors over time
Cross-lag correlations
A correlation b/w an earlier measure of one variable and a later measure of another variable. Investigates which variables occur first (AKA temporal precedence)
Mediator
A variable that helps explains the reliability b/w 2 other variables (AKA what is a “cause” for the relationship)
Test for mediation
“why are these two variables linked”
Test for moderation
“are these 2 variables linked the same way for everyone, in every situation?”
True or False: In a Bivariate Correlation, A is not associated w/ B
False! A is associated with B
True or False: In moderation, A is associated w/ B?
True
True or False: In a third variable, A is associated with B
True! but only because C may be causing A and B to vary together
True or False: In mediation, A is not associated w/ B?
False! A is associated with B because A leads to C, which then leads to B
Bivariate Correlation EXAMPLE
The more years of education you complete, the higher your earning potential tends to be
Moderation EXAMPLE
The more years of education you complete, the higher your earning potential tends to be, BUT the correlation may be stronger for cis men compared to other gender identities