True/False. If you found a strong positive correlation between the number of hours learners spent reading their textbooks and their quiz scores, you could conclude that reading the textbook caused better performances.

QUESTION 1
There are different types of correlation one can use based on the types of variables being examined. When conducting an analysis, when do you need to use Spearmans rho instead of Pearsons r ?
When the data are nominal or ordinal.
When the data are ratio or interval.
When the data are random.
Spearman’s rho should never be used for correlations.
10 points

QUESTION 2
True/False. If you found a strong positive correlation between the number of hours learners spent reading their textbooks and their quiz scores, you could conclude that reading the textbook caused better performances.
True

False

10 points

QUESTION 3
True/False. The university study found a positive correlation between the number of weekly course log-ins and end of course evaluation scores, r = .16, p = .07. Based on this, it could be concluded that there is significant association between number of log-ins and end of course evaluation scores.
True

False

10 points

QUESTION 4
The correlational finding that test anxiety increases grades decrease is an example of which of the following?
A negative correlation.
A positive correlation.
The direction of the correlation cannot be determined.
A neutral correlation.
10 points

QUESTION 5
What measures the strength of the correlation?
The dependent variable
The independent variable
The p-value
The correlation coefficient
10 points

QUESTION 6
Correlation coefficients are always between which of the following?
-1.0 and +1.0
0 and 100
0 and +1.0
-1.0 and 0
10 points

QUESTION 7

Which of these is a weak negative correlation?

r = .9

r = .91

r = -.12

4 = .43

10 points

QUESTION 8
Which of these is a strong positive correlation?
r = .86
r = -.93
r = .27
r = .03
10 points

QUESTION 9
Which of these is a perfect positive correlation?
r = 1.0
r = -1.0
r = 0
r = 100
10 points

QUESTION 10
True/False. Correlation is the best analysis to use if your independent and dependent variables are nominal.
True

False

10 points

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