Week 3 Correlational Design Tree Flashcards
to support learning of the Correlational design tree in T & F dealing with the degree of relationship among variables
When exploring the degree of relationship among the variables in research questions, what is the goal of analysis when there is 1 (continuous) DV?
The goal of analysis when there is one continuous DV is to create a linear combination of the IV’s to optimally predict the DV
Which analytic strategy would you chose when there is 1 x (Continuous) DV & 1 IV?
and again, with multiple (Continuous) IV’s & no Covariates?
and again with multiple (continuous) IV’s & some covariates?
1 x DV & 1 x IV = Bivariate r
1 x DV & multiple IV = Multiple Regression
1 x DV & Multiple IV & some Covariates = Sequential Multiple Regression
When exploring the degree of relationship among the variables in research questions, what is the goal of analysis when there are multiple (continuous) DV’s?
The goal of analysis when there are multiple continuous DV’s is to maximally correlate a linear combination of the DV’s with a linear combination of the IV’s
Which analytic strategy would you chose when there are multiple (Continuous) DV’s & Multiple Continuous IV’s?
Multiple DV’s & Multiple IV’s = Canonical Correlational Regression
When exploring the degree of relationship among the variables in research questions, what is the goal of analysis when there is one (may be repeated measures) DV & Multiple IV’s (continuous & discrete), with cases and IV’s nested?
The goal of analysis when there is one (may be repeated measures) DV is to create linear combinations of the DV’s & IV’s at one level to serve as DV’s at another level
Which analytic strategy would you chose when there is one (may be repeated measures) DV & Multiple IV’s (continuous & discrete), with cases and IV’s nested?
1 x DV (may be repeated) & Multiple Continuous IV’s = Multilevel Modelling
When exploring the degree of relationship among the variables in research questions, what is the goal of analysis when there are no DV’s and Multiple (discrete) IV’s?
The goal of analysis when there are no DV’s and Multiple (discrete) IV’s is to create a log-linear combination of IV’s to optimally predict category frequencies
Which analytic strategy would you chose whenthere are no DV’s and Multiple (discrete) IV’s?
0 x DV & multiple (Discrete) IV’s = Multiway Frequency Analysis