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The results for a Pearson’s r

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Question

2 points  QUESTION 2The results for a Pearson’s r between students’

anxiety and their achievement were, r (90) = – .75, p = .03. What can the researcher conclude?There is no relationship between students’ anxiety and their achievement.As students’ anxiety increased, their achievement decreased.As students’ anxiety increased, their achievement increased.

2 points  QUESTION 3

  1. What do we look at the sign of r (+ or -) to decide?
  2. the direction of linear relationship between X and Y
  3. the strength of linear relationship between X and Y
  4. the significance of the relationship between X and Y

2 points  QUESTION 4

  1. A positive correlation between two variables, X and Y, indicates that:
  2. as scores on X increase, scores on Y decrease
  3. as scores on X increase, scores on Y increase
  4. as scores on X decrease, score on Y increase
  5. no relationship between X and Y

2 points  QUESTION 5

  1. Pearson’s r can also be considered as:
  2. a measure of how much values differ in a sample.
  3. the size of a typical value.
  4. the number of independent pieces of information.
  5. a measure of covariance.

2 points  QUESTION 6

  1. When conducting multiple correlation analyses, one way to reduce the risk of type 1 error is to:
  2. Report all possible combinations of correlations
  3. Use Bonferroni corrected a levels to test each individual correlation
  4. Use cross validation between the samples
  5. Replicate correlations with the same sample

2 points  QUESTION 7

  1. The results for a Pearson’s r for online, university students’ perceived learning and their sense of community were, r (22) = .32, p = .07. What can the researcher conclude?
  2. There is no statistical significant relationship between perceived learning and their sense of community
  3. There is a weak statistical significant, positive relationship between perceived learning and their sense of community.
  4. There is a strong statistical significant, negative positive relationship between perceived learning and their sense of community.
  5. There is a strong statistical significant, positive positive relationship between perceived learning and their sense of community.

2 points  QUESTION 8

  1. What type of relationship does this scatterplot best represent?
  2. r = -.70
  3. r = .00
  4. r = .70

2 points  QUESTION 9

  1. What type of relationship does this scatterplot best show?
  2. r = -.70
  3. r = .00
  4. r = .70

2 points  QUESTION 10

  1. Suppose that you want to run 4 correlations, and you want your Experiment wise α (EWα) to be .05. What per-comparison α (PCα) would you use if you applied the Bonferroni procedure?
  2. .05
  3. .0125
  4. .0174
  5. .001

2 points  QUESTION 11

  1. The results for a Pearson’s r for students’ perceived learning and their sense of community were, r (45) = .72, p = .02. What can the researcher conclude?
  2. There is no statistical significant relationship between perceived learning and their sense of community
  3. There is a weak statistical significant, positive relationship between perceived learning and their sense of community.
  4. There is a strong statistical significant, negative relationship between perceived learning and their sense of community.
  5. There is a strong statistical significant, positive relationship between perceived learning and their sense of community.

2 points  QUESTION 12

  1. Pearson’s r(48)= .80, p = .02 can be interpreted as
  2. X and Y have a strong positive relationship
  3. X and Y have a strong negative relationship
  4. X and Y have a a moderately positive relationship
  5. X and Y have no relationship

2 points  QUESTION 13

  1. In a study examining the relationship between coffee consumption and heart disease, the researcher obtained a value of r(98)= -.58, p = .04. The results:
  2. proves that the more coffee you drink, the less chance of heart disease.
  3. proves that the less coffee you drink, the greater the chance of heart disease.
  4. demonstrates that there is a strong relationship between coffee consumption and heart disease.
  5. demonstrates that there is a poor relationship between coffee consumption and heart disease.

2 points  QUESTION 14

  1. It is appropriate to make a causal inference based on Pearson’s r alone.
  2.  True
  3.  False

2 points  

 
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