Chapter 9 - Multivariate Correlational Research

Question 1

Multivariate Design

Answer 1

A study designed to test an association involving more than two measured variables. (page 238)

Question 2

Longitudinal Design

Answer 2

A study in which the same variables are measured in the same people at different points in time. (page 239)

Question 3

Cross-sectional Correlation

Answer 3

In a longitudinal design, a correlation between two variables that are measured at the same time. (page 239)

Question 4

Autocorrelation

Answer 4

In a longitudinal design, the correlation of one variable with itself, measured at two different times. (page 240)

Question 5

Cross-lag Correlation

Answer 5

In a longitudinal design, a correlation between an earlier measure of one variable and a later measure of another variable. (page 241)

Question 6

Multiple Regression

Answer 6

A statistical technique that computes the relationship between a predictor variable and a criterion variable, controlling for other predictor variables. Also called multivariate regression. (page 244)

Question 7

Control for

Answer 7

Holding a potential third variable at a constant level (statistically or experimentally) while investigating the association between two other variables. See also control variable, multiple regression. (page 245)

Question 8

Criterion Variable

Answer 8

The variable in a multiple-regression analysis that the researchers are most interested in understanding or predicting. Also called dependent variable. (page 247)

Question 9

Predictor Variable

Answer 9

A variable in multiple-regression analysis that is used to explain variance in the criterion variable. Also called independent variable. (page 248)

Question 10

Parsimony

Answer 10

The degree to which a theory provides the simplest explanation of some phenomenon. In the context of investigating a claim, the simplest explanation of a pattern of data; the best explanation that requires making the fewest exceptions or qualifications. (page 256)

Question 11

Mediator

Answer 11

A variable that helps explain the relationship between two other variables. Also called mediating variable. (page 259)