Effect size and power

A visually engaging infographic representing statistical concepts like effect size, power, and odds ratios, illustrated with graphs and data visualizations in a modern style.

Understanding Effect Size and Power

Test your knowledge on effect sizes and statistical power with this challenging quiz! This quiz consists of 10 questions that will deepen your understanding of key concepts in statistics and research methodology.

Multiple choice questions
Assess your understanding of odds ratios, effect sizes, and statistical measures

10 Questions2 MinutesCreated by AnalyzingTree257

Odds ratios are calculated:

By dividing the odds of an event happening in those exposed to an intervention by the odds of an event happening in those not exposed to the intervention

By dividing the odds of an event happening in those exposed not to an intervention by the odds of an event happening in those exposed to the intervention

By multiplying the odds of an event happening in those exposed not to an intervention for the odds of an event happening in those exposed to the intervention

By multiplying the odds of an event happening in those exposed to an intervention for the odds of an event happening in those not exposed to the intervention

None of the above

Suppose a botanist applies two different fertilizers to plants to determine if there is a significant difference in average plant growth (in inches) after one month. A month later, running a statistical analysis, he notices that d=0.92 Therefore, he concludes that there is a small effect size. Is the botanist correct?

True

False

Which is the right order?

No correlation, weak positive correlation, strong negative correlation, weak negative correlation, moderate negative correlation, strong positive correlation

Strong positive correlation, weak positive correlation, strong negative correlation, weak negative correlation, moderate negative correlation, no correlation

Weak negative correlation, strong negative correlation, no correlation, strong positive correlation, weak positive correlation, moderate negative correlation

Weak negative correlation, moderate negative correlation, no correlation, strong positive correlation, weak positive correlation, strong negative correlation

1. Which of the below is NOT a way to increase the power of a statistic:

Increase sample size

Reduce measurement error

Increase effect size

Decrease type II error

What is the difference between Eta and partial eta squared?

Partial eta only looks at the sample population

Partial eta considers the means rather than variance between groups

Partial eta considers the variance attributed to one variable relative to others

Eta squared is only to be used for ANCOVA

Why is Omega squared a less biased measure of effect size?

It considers the variance of the model and the average variance in the population

It considers group means instead of variance

It is useful for contrasts

It can be used for two sided hypotheses

What influence can a larger sample size have on effect size and Power?

Decreased power, decreased effect size

Increased power, decreased effect size

Decreased power, Increased effects size

Increased power, increased effect size

Effect size and power

Understanding Effect Size and Power

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