Effect size basics
Effect size calculations
Effect Sizes Intentions
What is needed for effect size?
Types of effect size
100

Displays the relationship between variables or the difference between groups is

What is effect size?

100

measures the size of the difference between two groups

What does Cohen’s d measure?

100

emphasizing the size of effect promotes a more scientific approach, as unlike significance tests, effect size is independent of sample size

Why should we report the effect size?

100

By performing a power analysis

How can we use a set effect size and significance level to determine the sample size needed for a certain power level?

100

The effect size of the population can be known by dividing the two population mean differences by their standard deviation.

How can you find the standardized mean difference?

200

It indicates the practical significance of a research outcome

What does effect size tell us?

200

measures the strength of the relationship between two variables

What does Pearson’s r measure?

200

tells us that an intervention works, whereas an effect size tells us how much it works

What is one difference between p-value and effect sizes?

200

Effect Sizes

What is known as the raw data in meta-analysis studies because they are standardized and easy to compare?

200
  1. r = correlation coefficient

  2. N = number of pairs of scores

  3. ∑xy = sum of the products of paired scores

  4. ∑x = sum of x scores

  5. ∑y = sum of y scores

  6. ∑x2= sum of squared x scores

  7. ∑y2= sum of squared y scores

 What do the Pearson r correlation variables stand for

300

indicates limited practical applications

What does a small effect size mean?

300

takes the difference between two means and expresses it in standard deviation units to tell you how many standard deviations lie between the two means

How does Cohen do work?

300

Standardized mean difference, odd ratio, and correlation coefficient

In what three ways can effect size be measured?

300

Knowing the expected effect size means

You can figure out the minimum sample size you need for enough statistical power to detect an effect of that size?

300

 p-values and effect sizes

Statistical significance is denoted by what? whereas practical significance is represented by?

400

means that a research finding has practical significance

What does a large effect size mean?

400

depends on your research design

How do you identify what standard deviation to use?

400

For instance, if we have data on the height of men and women and we notice that, on average, men are taller than women, the difference between the height of men and the height of women is known as the effect size.

Give an example of what effect size is intended for

400

Effect Sizes and significance level

What two things are needed to determine sample size for a certain power level?

400

efers to the likelihood of a hypothesis test detecting a true effect if there is one

What is statistical power?

500

shows that an effect exists in a study vs. shows that the effect is large enough to be meaningful in the real world.

What is the difference between statistical and practical significance?

500

The formula is rather complex, so it’s best to use a statistical software to calculate

How do you make calculations with Paerson’s r?

500

The greater the effect size, the greater the height difference between men and women will be

 In the previous example, what does a greater effect size mean?

500

calculate effect sizes

before you begin your study as well as after you complete data collection its helpful to what?

500

the best statistic to measure the effect size for nominal data

What is Chi-square?