How many subjects should be included in each treatment group?
it is advisable to have at least _________ subjects in each treatment groups, however most researchers are more comfortable with 25 (n=25; according to ernst)
What can you conclude about the main effects of two-factor analysis?
If a two-factor analysis of variance produces a statistically significant interaction, what can you conclude about the main effects? A two-factor research study is used to evaluate the effectiveness of a new blood-pressure medication. In this two-factor study, Factor A is medication versus no medication and factor B is male versus female.
When subjects solve more and more word problems in a study?
as subjects solve more and more word problems in a study they begin to make mistakes and get bored with the experiment or irritated with the experimenter. what effect (influences design choice) is this an example of?: what type of counterbalancing is this example?: what type of counterbalancing is this example?:
How many times should a sequence of two treatments occur?
Every possible sequence of two treatments (e.g., AB, BA) should occur exactly one time.
Does shortening time increase likelihood of order effect?
Shortening time increases likelihood of order effect
Can IV be used for multiple treatments?
can be used for both two-treatment designs (IV has 2 levels) and multiple-treatment designs (IV has 3+ levels)
Does counterbalancing eliminate order effects?
order effects and time-related factors are likely to play a big role and counterbalancing won't eliminate these issues
When a two factor experiment results in a significant interaction, should you be cautious about interpreting the main effects?
Whenever a two-factor experiment results in a significant interaction, you should be cautious about interpreting the main effects because an interaction can distort, conceal, or exaggerate the main effects of the individual factors. T or F?
What is a two factor study?
A two-factor research study is used to evaluate the effectiveness of a new blood-pressure medication. In this two-factor study, Factor A is medication versus no medication and factor B is male versus female. The medicine is expected to reduce blood pressure for both males and females, but it is expected to have a much greater effect for males.
Can a repeated-measures design be caused by individual differences?
For a repeated-measures design, the differences between treatments may be caused by a treatment effect or by sampling error (random factors), but they cannot be caused by individual differences. T or F?