Hi,

Ok. Let me rephrase my question. I wasn't specific in my previous

question.

My study is on Consumer's Attitute Towards Online Shopping.

One of the factors, based on my study (literature review) is "Incentive".

And now, in my research methodology, one of the Hyphothesis I will

test is

H1 - Incentive will encourage users to shop online.

(note: Incentive may be online coupon, discount etc).

So, in my questionnaire design, I need to check if this H1 is true.

I have ONE question in my questionnairre that relate to "Incentive".

(using Likert scale)

1- Strongly agree, 2,3,4 ...... 5 Strongly disagree.

e.g.

Q23 I find that reward will encourage me to shop online. (1,2,3,4,5)

Note: Here, I only have "one" question that "relate" to "incentive" and

online shopping.

So, my question, is ...

a. Can I use one sample t-test to test this ?

Correct me if I am wrong. I believe, from the test, I will have

something like, eventually, p < 0.05 or p > 0.05 and there,

I can either reject or accept H1.

Other related questions maybe be

i. For Likert scale, we have 1 - Strongly Agree, 2 Agree etc.

Do you normally, assign a number to the scale so that,

we can do the calculation of Mean?

Say

1 (Stronly agree) - 4

2 (Agree) - 3

3 (Neutral) - 2

4 (Disagree) - 1

5 (Strongly Disagree) - 0

And to get the mean of the sample, since

"Strongly Agree" and "Agree" will be accepted and considered

positive (for accepting online shopping when reward is given),

do I have to calculate the Mean for both (1 strongly agree) and

(2 Agree) and then average the Mean and divide by 2 ?

( may be a silly question haha)

ii. Once I have the Mean, next, I will need to define the

Hypo Test Value.

Now, normally, how do define the Hypo Test value?

Are there any rules? Normally, do we get it from the

Mean of people who says "Neutral" ?

iii. And, I have more than 1 Questions, e.g. add one more question

and users about Incentive and Online shopping, say now, I have

Q23 I find that reward will encourage me to shop online. (1,2,3,4,5)

Q24 ************************************************x (1,2,3,4,5)

now, since these 2 questions relate to "Incentive" factor,

for the mean calculation, I have 2 "Means". Should I, again,

average them up in order to get an average Mean ?

(maybe another silly question. ha)

Or for 2 or more question, is one-sample t-test is not applicable?

Many thanks for your advice.

Regards,

Still Very Worried