Exam 17: Doing Real Research: Elementary Multivariate Relationships

If three independent variables constitute a multiple R of .5, they are each positively related to the dependent variable.

One of the problems of layered tables is the need for a large sample size.

Bivariate statistics are closer to a beginning step in research rather than an ending step.

A bivariate correlation is also known as a(n)

Multiple R is used when:

A third-order partial relationship is represented by:

The best way to find a total multiple correlation is to sum the individual bivariate correlations.

Multiple regression can be used to

Multivariate analyses, because of all of their assumptions, are less like the "real world" than bivariate analyses.

An R-square of .20 means that

The basic difference between multivariate and bivariate analyses is that there are at least two dependent variables to interpret.

A major reason for using statistics is to produce an objective set of findings on which to base policy.

Because of their serious data limitations, multiple and partial regression are seldom seen in the actual research literature.

Multiple regression

Partial regression differs from multiple regression in that

Conceptual property space refers to

Which answer below best characterizes multiple regression?

A layer tabular analysis would take place when

A bivariate correlation of .40 is larger than a multiple correlation of .40 because of the number of variables in the multiple correlation.

The name for partial regression comes from partitioning variance in the dependent variable by the effects of independent and control variables.