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MULTIPLE CHOICE QUESTIONS   1.  Research that involves identifying relationships among variables

Question : MULTIPLE CHOICE QUESTIONS   1.  Research that involves identifying relationships among variables : 1991644

MULTIPLE CHOICE QUESTIONS

 

1.  Research that involves identifying relationships among variables but not causation is known as

a.  correlational research.

b.  experimental research.

c.  descriptive research.

d.  case study research.

2.  When Guthrie, Ash, and Bendaudi (1995) investigated whether students’ grades and their tendency to be morning or evening people are associated, these investigators conducted

a.  a prediction study.

b.  a relationship study.

c.  analysis of heterogeneous subgroups.

d.  multiple regression.

3.  If researchers want to spot whether measurements on two variables are associated, they conduct a

a.  prediction study.

b.  structural modeling.

c.  relationship study.

d.  linear relationship study.

4.  The type of correlational study that researchers conduct if they do not yet know if two variables are associated is called a

a.  zero-order correlational study.

b.  prediction study.

c.  factor analytic study.

d.  relationship study.

5.  If you were studying ten variables to see whether they were correlated and if you computed all possible correlation coefficients,

a.  five percent of your correlations would be significant but actually meaningless.

b.  you would want to pay attention to higher order correlations more than to zero order correlations.

c.  by choosing the proper variables, you could begin to identify causal relationships.

d.  your best approach to examining the correlations would be to identify a third variable problem.

6.  After you have discovered that two variables are correlated, you might be able to make a good estimate of the value of one variable if you were given the value of the other.  This approach involves a

a.  description study.

b.  prediction study.

c.  criterion study.

d.  factorial study.

7.  In a prediction study, the outcome that you are interested in predicting is called the

a.  predictor variable.

b.  measured variable.

c.  criterion variable.

d.  confirmatory variable.

8.  When a college admissions office is trying to predict which students are likely to succeed if they are admitted to that college, the admissions officers are interested in seeing if there is a relationship between SAT or ACT scores and first year college grades.  In this example, the college grades would be the

a.  predictor variable.

b.  measured variable.

c.  confirmatory variable.

d.  criterion variable.

9.  When a college admissions office is trying to predict which students are likely to succeed if they are admitted to that college, the admissions officers are interested in seeing if there is a relationship between SAT or ACT scores and first year grades.  In this example, the SAT or ACT scores would be the

a.  predictor variable.

b.  measured variable.

c.  confirmatory variable.

d.  criterion variable.

10.  A clinician might want to know whether a psychological inventory would predict future levels of depression in clients.  The future level of depression would constitute a

a.  predictor variable.

b.  criterion variable.

c.  confirmatory variable.

d.  measured variable.

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