Deck 30: Effect Size
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Deck 30: Effect Size
1
For an experimental group, M=50 and SD=7. For control group, M=46 and SD=8. For this experiment, what is the value of d?
0.5
Calculation: (50-46)/ 8= 0.5
Calculation: (50-46)/ 8= 0.5
2
Is the effect size for question above "very large"?
NO, MEDIUM
3
If we read a report that states that d equals 1.00, what does this mean?
A) The experimental group has a mean that is a full standard deviation higher than the mean of the control group
B) The experimental group has a mean that is a full point higher than the mean of the control group
C) This is considered low effect size
A) The experimental group has a mean that is a full standard deviation higher than the mean of the control group
B) The experimental group has a mean that is a full point higher than the mean of the control group
C) This is considered low effect size
A
4
There are only about four standard deviation units above (and below) the mean.
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5
What does a Cohen's d value of 0.80 NOT indicate?
A) Eight-tenths of a standard deviation
B) Small effect size
C) Large effect size
A) Eight-tenths of a standard deviation
B) Small effect size
C) Large effect size
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6
Which of the following is NOT a principles of effect size?
A) A small effect size might represent an important result
B) A large effect size might represent an unimportant result
C) A small effect size does not represent important results
D) A large effect size might represent an important result
A) A small effect size might represent an important result
B) A large effect size might represent an unimportant result
C) A small effect size does not represent important results
D) A large effect size might represent an important result
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7
Which of the following steps are NOT part of interpreting the difference?
A) Determine whether the difference is statistically significant at an acceptable probability level
B) For a statistically significant difference, consider the value of d
C) For a statistically insignificant difference, still consider the value of d
D) Consider the implications of the difference for validating any relevant theories as well as the practical significance of the results
A) Determine whether the difference is statistically significant at an acceptable probability level
B) For a statistically significant difference, consider the value of d
C) For a statistically insignificant difference, still consider the value of d
D) Consider the implications of the difference for validating any relevant theories as well as the practical significance of the results
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8
In what situation(s) would the value of the d be meaningless?
A) Inadequate sampling
B) Invalid instrumentation
C) Poor research design
D) All of the above
E) A and B only
A) Inadequate sampling
B) Invalid instrumentation
C) Poor research design
D) All of the above
E) A and B only
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