Hi guys,

I am currently performing a study that aims to determine -

1. If there is a relationship between the AGE of respondents and their probability to take ACTION towards a certain event.
2. If there is a relationship between the INCOME LEVEL of respondents and their probability to ACCEPT a certain event (the event is same as the previous point).
3. If there is a relationship between the EDUCATION LEVEL of respondents and their probability to ACCEPT a certain event.

AGE
1. 18-21 Years
2. 22-39 Years
3. 40-54 Years
4. 55-60 Years
5. Above 60 Years

INCOME LEVEL
1. INR 0-250,000 P.A. (per annum)
2. INR 250,000-500,000 P.A. (per annum)
3. INR 500,000-1,000,000 P.A.
4. INR 1 - 1.5 Million P.A.
5. INR Above 1.5 Million P.A.

EDUCATION LEVEL
1. Associate Degree
2. Bachelor's Degree
3. Master's Degree
4. M.Phil (Master of Philosophy)
5. D.Phil (Doctor of Philosophy)

ACCEPTANCE - Responses for each statement are recorded by LIKERT SCALE (1=STRONGLY DISAGREE TO 5=STRONGLY AGREE)
1. Statement 1
2. Statement 2
3. Statement 3
4. Statement 4
5. Statement 5
6. Statement 6
7. Statement 7
8. Statement 8

ACTION - Responses for each statement are recorded by LIKERT SCALE (1=STRONGLY DISAGREE TO 5=STRONGLY AGREE)
1. Statement 1
2. Statement 2
3. Statement 3
4. Statement 4
5. Statement 5
6. Statement 6
7. Statement 7

I'm thinking of using Pearson's correlation, but do I need Factor Analysis to combine the 8 statements under ACCEPTANCE and 7 statements under ACTION and then use BI-variate correlation? Please advise.

Thanks,
Nathan