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

1
Q

When exploring the degree of relationship among the variables in research questions, what is the goal of analysis when there is 1 (continuous) DV?

A

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

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2
Q

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?

A

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

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3
Q

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?

A

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

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4
Q

Which analytic strategy would you chose when there are multiple (Continuous) DV’s & Multiple Continuous IV’s?

A

Multiple DV’s & Multiple IV’s = Canonical Correlational Regression

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5
Q

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?

A

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

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6
Q

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?

A

1 x DV (may be repeated) & Multiple Continuous IV’s = Multilevel Modelling

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7
Q

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?

A

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

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8
Q

Which analytic strategy would you chose whenthere are no DV’s and Multiple (discrete) IV’s?

A

0 x DV & multiple (Discrete) IV’s = Multiway Frequency Analysis

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