interpreting experiments with more than 2 groups

Question 1

more than 2 groups suggests which tests?

Answer 1

independent (between subjects), correlated (within subjects), multiple independent groups design, multiple correlated groups design, one way ANOVA for independent groups, one way ANOVA for correlated groups

Question 2

why conduct studies with more than 2 groups?

Answer 2

can answer more questions with a multiple group design, more efficient

Question 3

ANOVA evaluates the influence of:

Answer 3

our IV and DV

Question 4

reasoning for ANOVA:

Answer 4

comparing the ratio of between groups variability to within-groups variability (F= between groups variability/within groups variability)

Question 5

increased between groups variability means the dots will be:

Answer 5

closer

Question 6

increased within group variability means the dots will be:

Answer 6

farther away

Question 7

goal of ANOVA:

Answer 7

to achieve a significant F, want to maximize between groups variability and minimize within-groups variability

Question 8

what test do you use once you find out F test is significant?

Answer 8

post-hoc tests

Question 9

post hoc tests:

Answer 9

statistical comparisons made between pairs of group means after finding significant F ratio

Question 10

ANOVA independent group statistic: F (2,21)=4.71. what does the 2 and 21 come from?

Answer 10

the 2 represents the number of groups - 1. the 21 represents the number of participants - number of groups

Question 11

ANOVA correlated group statistic: F (2, 14) =19.71 where does the 2 and 14 come from?

Answer 11

the 2 represents the number of groups - 1. the 14 represents the (number of groups - 1) (number of participants/group - 1)