Deck 14: Correlational Design

Question 1

Which of the following r values is correct for the finding that shows that as depression scores increase, so do anxiety scores?

A) r=.52
B) r=-.17
C) r=1.12
D) r=-.44

Answer 1

A

Question 2

If we find the correlation between self-esteem and depression scores is r=-.43, then how might we describe this relationship?

A) Increasing levels of self-esteem negatively affect levels of depression.
B) Increasing levels of self-esteem positively affect levels of depression.
C) As self-esteem scores increase, depression scores increase.
D) As self-esteem scores increase, depression scores decrease.

Answer 2

D

Question 3

What types of variables are suitable as predictor variables in a regression analyses?

A) Only continuous variables
B) Only categorical variables
C) Continuous and binary (categorical) variables
D) All types of variables

Answer 3

C

Question 4

If we wanted to test for whether age and stress levels can predict a person being a smoker (yes/no), then what type of analysis would be suitable?

A) Pearson correlation
B) Multiple regression
C) Logistic regression
D) Hierarchical regression

Question 5

If we wanted to test whether hours of studying and gender can predict exam test scores whilst controlling for IQ, then what type of analysis would be most suitable?

A) Partial correlation
B) Multiple regression
C) Factor analysis
D) Hierarchical regression

Question 6

If an individual scores similarly on a test of verbal intelligence at two different time points, then this would be an example of…

A) internal consistency.
B) ecological validity.
C) test-retest reliability.
D) construct validity.

Question 7

If we wanted to know whether our questionnaire about happiness has good internal consistency, then what correlational-based analysis would be appropriate?

A) Factor analysis
B) Pearson correlation
C) Partial correlation
D) Cronbach's alpha

Question 8

If we had an R² of .14 then what would this mean?

A) That the finding is non-significant
B) That the finding has a medium effect size
C) That the finding has a small effect size
D) That the finding is significant

Question 9

If you ran a questionnaire on your participants and wanted to reduce the number of variables that summarize the dataset, then what would be the most appropriate method of analysis?

A) Reliability analysis
B) Factor analysis
C) Hierarchical regression
D) Multiple regression

Question 10

If we wanted to examine the relationship between salary and IQ whilst controlling for gender, then what would be the most suitable method of analysis?

A) Partial correlation
B) Pearson correlation
C) Multiple regression
D) Logistic regression