# Quiz 8: Advanced Correlational Strategies

Psychology

Q 1Q 1

In the regression equation, y = 4.75 - 17.88x, x is the
A)criterion variable.
B)regression constant.
C)regression coefficient.
D)predictor variable.

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Multiple Choice

D

Q 2Q 2

In the regression equation, y = .18 + 8.87x, 8.87 is the
A)criterion variable.
B)regression constant.
C)regression coefficient
D)predictor variable.

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Multiple Choice

C

Q 3Q 3

The regression constant in a regression equation is equivalent to the
A)Pearson correlation.
B)multiple correlation.
C)slope of the line.
D)y-intercept.

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Multiple Choice

D

Q 4Q 4

Multiple regression analyses involve more than one
A)criterion variable.
B)regression constant.
C)regression equation.
D)predictor variable.

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Multiple Choice

Q 5Q 5

Imagine you obtain the following regression equation: y = 150 - 3x. If a participant scored 10 on the predictor variable, the predicted value of the criterion variable is
A)147.
B)120.
C)153.
D)180.

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Multiple Choice

Q 6Q 6

A multiple regression analysis in which all predictor variables are entered into the analysis at the same time is called a ________ analysis.
A)stepwise
B)hierarchical
C)partial
D)standard

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Multiple Choice

Q 7Q 7

In a stepwise multiple regression analysis, the predictor variables enter the equation
A)according to their ability to predict unique variance in the criterion variable.
B)simultaneously.
C)in an order specified by the researcher.
D)in a way that tests changes in the criterion variable over time.

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Multiple Choice

Q 8Q 8

In a stepwise multiple regression analysis, predictor variables enter the regression equation if they
A)correlate with the outcome variable.
B)correlate with one another.
C)predict unique variance in the outcome variable.
D)account for all of the variance.

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Multiple Choice

Q 9Q 9

A multiple regression analysis in which predictor variables are entered into the equation in an order specified in advance by the researcher is called a ________ regression analysis.
A)stepwise
B)hierarchical
C)partial
D)standard

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Multiple Choice

Q 10Q 10

The correlation between the criterion variable and the set of predictor variables is the
A)coefficient of determination.
B)regression correlation.
C)multiple correlation.
D)partial correlation.

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Multiple Choice

Q 11Q 11

What is the maximum possible value of R

^{2}? A)1)00 B)The coefficient of determination C)1 minus the regression constant D)-1.00 or +1.00Free

Multiple Choice

Q 12Q 12

A cross-lagged panel correlation design
A)examines correlations between variables across time.
B)can prove causal relationships among variables.
C)uses several samples of participants.
D)increases the reliability of one's measures.

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Multiple Choice

Q 13Q 13

If Variable X causes Variable Y,
A)the correlation between X and Y should not change over time.
B)the correlation between X at Time 1 and Y at Time 2 should be greater than the correlation between Y at Time 1 and X at Time 2.
C)X and Y should be correlated more strongly between Time 1 and Time 2 than they are at Time 2.
D)the correlation between X and Y should approach 1.00 over time.

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Multiple Choice

Q 14Q 14

What analysis would you use to test possible causal relationships among a set of correlated variables?
A)Structural equations modeling
B)Factor analysis
C)Pearson correlation
D)Linear regression analysis

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Multiple Choice

Q 15Q 15

Structural equations modeling mathematically compares
A)correlations calculated at different times.
B)two or more cross-lagged panel designs.
C)correlations implied by a hypothesized model to calculated correlations.
D)factor solutions.

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Multiple Choice

Q 16Q 16

A structural equations analysis that uses several measures of each construct is called
A)path analysis.
B)latent variable modeling.
C)cross-lagged panel analysis.
D)factor analysis.

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Multiple Choice

Q 17Q 17

Multilevel modeling is used when
A)predictor and outcome variables are uncorrelated.
B)the data have a nested structure.
C)predictors are measured at different points in time.
D)researchers are studying groups rather than individuals.

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Multiple Choice

Q 18Q 18

Factor analysis is used to
A)examine the effects of factors on group means.
B)analyze data from factorial designs.
C)examine the underlying relationships among a set of variables.
D)test the correlation between two sets of variables.

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Multiple Choice

Q 19Q 19

The correlation between a variable and a factor is a
A)factor loading.
B)partial correlation.
C)factor matrix.
D)fit index.

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Multiple Choice

Q 20Q 20

In a factor matrix, the columns represent
A)variables.
B)factor loadings.
C)factors.
D)correlations.

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Multiple Choice

Q 21Q 21

In factor analysis, a one-factor solution will be obtained when
A)the variables are uncorrelated.
B)each variable correlates highly with some variables, but weakly with other variables.
C)all variables are highly correlated.
D)the factor loadings are small.

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Multiple Choice

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Q 24Q 24

In stepwise multiple regression, a predictor variable may not enter the regression equation even though it correlates highly with the criterion variable. Why?

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Q 25Q 25

Imagine conducting a multiple regression analysis in which you have four predictor variables. The multiple correlation coefficient from this analysis is .50. Explain what this correlation tells you.

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Q 27Q 27

Imagine performing structural equations analysis, and the fit index indicates the model has a good fit. What does this tell you?

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