ARMS CP

18 important questions on ARMS CP

What is the definition of effect size?

An objective and standardized measure of the size of an observed effect

When is a value of partial eta sqared viewed as small?

.01

When is a value of partial eta sqared viewed as medium?

.06
  • Higher grades + faster learning
  • Never study anything twice
  • 100% sure, 100% understanding
Discover Study Smart

When is a value of partial eta sqared viewed as large?

>.14

When is a value of Pearson's R / Regression B viewed as large?

>.50

What is statistical power?

The possibility of detecting an existing effect of a particular size, therefore the opportunity to correctly reject H0

How is power calculated?

1 - B, where B is the probability of a type 2 error

What are the 2 consequences of a larger effect size?

- More likely to be significant (power increases)
- Less overlap

What question do you have to ask when performing a randomizationcheck?

Are the groups equal prior to the manipulation?

What question do you have to ask when performing a manipulation check?

Was your manipulation of factor A succesful?

... Is a more generic term, ... Is a little more specific

Interaction, moderation

How to correct for the multiple comparisons problem?

Correction with alpha level adjustment like Bonferonni

What three relevant comparisons can you make if you want to know whether variable A causes changes in variable B?

- Baseline comparison
- Post-manipulation comparison
- Pre-post comparison

What is essential to an interaction?
a. Multiple variables are involved
b. A main effect is necessary
c. Interpretation of the main effect is incomplete
d. There is dependency of an effect on the dependent variable
e. The slope of the lines is different
f. The dependent variable is not taken into account in the interaction

A, c, d, e
A: at least 2 IV's and 1 DV

Is this true or false? With a small number of participants it is important to look at the effect size before you draw conclusions about your findings

True

How do you calculate bonferonni correction?

A / number of pairwise comparisons

If the F-test is significant in an ANOVA, there is a difference between your groups. What do you have to do when you want to know between which of your groups?

Post hoc testing

Bonferonni correction increases the chance of a ...

Type 2 error

The question on the page originate from the summary of the following study material:

  • A unique study and practice tool
  • Never study anything twice again
  • Get the grades you hope for
  • 100% sure, 100% understanding
Remember faster, study better. Scientifically proven.
Trustpilot Logo