chi squared test

Question 1

When do i used Chi Squared?

Answer 1

• when data is 2 categorical variables (nominal or ordinal)
• comparing counts or frequencies

Question 2

Assumptions (requirements for Chi Squared)

Answer 2

• Both variables are categorical data
• Independent observations
• Cells in the contingency table are mutually exclusive
• Expected frequencies are sufficiently large (at least 80% of expected frequencies cell counts are above 5, none below 1)

Question 3

When doing Chi Squared what is step one?

Answer 3

calculate expected frequencies from table

Question 4

How do you calculate expected frequencies?

Answer 4

Total row x Total coloumn divided by the total number of ppts

Question 5

What is the second step of Chi squared?

Answer 5

for each cell do (OG frequency minus the expected frequency) squared, divided by the expected freuency
- add these all up

Question 6

What is step 3?

Answer 6

find df
- (number of rows - 1) x (number of columns - 1)

Question 7

How do you figure out if signif or not?

Answer 7

1. use df, type of hypothesis and signif value to find the p-value
2. If chi squared is ABOVE the p-value its signif

Question 8

What is Cramer’s V

Answer 8

The effect size

Question 9

How do you work out Cramer’s V?

Answer 9

Chi squared / total ppts x min( of either number of columns - 1 or number of rows - 1)