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Presentation 8 Flashcards | StudBud
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Presentation 8
Presentation 8
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StudBud Administration
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Flashcards
11 cards
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Questions
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Answers
1
If the odds ratio (OR) = 2.5, how should we interpret this?
There is no difference in odds
The odds are 2.5 times lower in group A than group B
Group A has 2.5 times higher odds of the event occurring compared to B
This is a negative correlation
2
What does a Cohen’s d of 0.67 indicate?
A large effect
A medium effect
A small effect
A moderate-to-large effect
3
Which of the following is NOT one of the four key factors that determine statistical power?
Effect size
p-value threshold
Statistical test used
Sample size
4
What does statistical power analysis help researchers determine?
Whether their data is normally distributed
The number of control variables needed in a study
The strength of their theoretical framework
The probability of detecting a true effect if it exists
5
What is a key benefit of using effect sizes instead of relying only on p-values?
They provide a continuous measure of magnitude, not just significance
They change depending on your sample's p-value
They remove the need for any statistical analysis
They allow for more precise significance testing
6
Eta squared(η²) is computed by dividing the between‐groups sum of squares (SS_effect) by total sum of squares (SS_total)
True
False
7
What is the conventional threshold for acceptable statistical power in a study?
0.50
0.05
0.90
0.80
8
In factorial designs, ω² is calculated by adding a term involving the degrees of freedom times the mean square error
False
True
9
What is the main purpose of an effect size in statistics?
To measure the magnitude of an effect, independent of sample size
To calculate confidence intervals
To determine the p-value
To test if an effect is statistically significant
10
When calculating partial eta squared , the formula is given η² = SS_effect ÷ (SS_effect - SS_residuals)
False
True
11
Which of the following best describes Pearson’s r?
A standardized measure of association between two continuous variables
A measure of variance between three or more groups
A way to calculate confidence intervals
A type of p-value
