Ch. 9

Question 1

This is a research method that involve more than two measured variables. e.g, longitude, multiple-regression, pattern and parsimony

Answer 1

Multivariate designs

Question 2

This measures the same variables in the same people at several points of time

Answer 2

Longitudinal Design

Question 3

What three correlations do multivariate designs provide?

Answer 3

Cross-sectional correlations
Auto-correlations,
Cross-lag correlations

Question 4

A statistical technique that can be used to rule out third variables

Answer 4

Multiple/multivariate regression

Question 5

This examines whether two variables, measured at the same point in time, are correlated

Answer 5

Cross-sectional correlations

Question 6

Examines the correlation of one variable with itself, measured on two different occasions

Answer 6

Auto-correlations

Question 7

This examines whether the earlier measure of one variable is associated with the later measure of the other variable

Answer 7

Cross-lag correlations

Question 8

What does it mean to “control for” a variable?

Answer 8

This examines whether a relationship between two key variables still exists after considering the influence of a third variable

Question 9

This is the outcome that a researcher is interested in predicting (Dependent variable)

Answer 9

Criterion variable

Question 10

The rest of the measured variables in a regression analysis (i.e., IV)

Answer 10

Predictor variable

Question 11

These compare the strength and direction of the effect of each IV on the DV. This is statistically significant at p < .05

Answer 11

Beta coefficients

Question 12

The degree to which a scientific theory provides the simplest explanation of some phenomenon

Answer 12

Parsimony