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of variance, instead you'd need a repeated-measures analysis of

variance. The results of such an analysis are influenced by the degree

of correlation between answers to these questions. You can calculate

the correlations only if you have the raw data.

Moreover, can we assume that the answers to all 5 questions were

given on the same scale? The results for the last question look

very distinguished.

With kind regards

Karabiner

I see

Is there any other way to interrupt these measures?

or If you have any idea how to do descriptive statistics using surveys websites.. I would be grateful

I won't do new survey but if its possible to check any option in the website where I make the questionnaire!

question number 5 have more choices to select from, is that what you mean?

What are the research questions which you want to answer with this data?

or If you have any idea how to do descriptive statistics using surveys websites.. I would be grateful

With kind regards

Karabiner

I mean that, if I insert this table in my paper, I have to comment on it, I dunno how to explain for the reader what does these findings mean!

and regarding the first part of your reply, I did an online survey (majority of close questions, some question with yes or no, some with likert scale)

research questions are:

What are the motivations of ...?

How you will benefit from ...?

what advantages you will get?

how .... help in reaching your goal?

would appreciate any help

It is entirely possible to do an ANOVA assuming independent observations with what you have. I'm not sure it's worth it though and it sounds like you're just more concerned with how to present the data and I don't think doing additional tests that weren't presented originally when you don't have the original data is a great idea.

Let me elaborate more on what I am doing so you might be able to help me better.

I am studying the implementation of service X, so I created an online survey.. distributed.. get results.. and so come the time to analyse it

The survey website provide me with charts indicating what was respondent's answers but I have to do descriptive statistics for my paper not just presenting these charts or even the descriptive measurements which I mentioned before.. What I am looking for exactly is how can I help the reader understand these descriptive findings? I tried doing many searches and found that running ANOVA test or p value to relate some questions to others might be good option but again I don't know how to do that with the set of data that I have..

If you can explain to me what can I do? or direct me to a helpful video showing how to do the ANOVA assuming independent observations with what I have, I would be really grateful as I already did many searches but all showing how to do the test with raw data.

Looking for your reply

I managed to get the raw data from the survey website.. but it needs too much work because there are some empty cells in some questions for each respondent so I can't run any test before removing it or make all constants as numbers.

Please Please if any one can just help in analysing by mentioning the mean and variance.. What can I benefit from these measurements as a researcher.

for example: Q2 age:

group 1: 22 respondents

group 2: 42 respondents

group 3: 134 respondents

group 4: 116 respondents

group 5: 26 respondents

the mean = 3.24

standard deviation = 0.99

variance = 0.97

Is right to say that mean shows us that most answers are around group 3? and the variance emphasises that because 0.97 variance indicate that answers are similar and not that much different?

or any suggested tests to be run with the numbers of respondents for each question?

Please do reply ASAP as its really urgent and thanks in advance

In such a case (ordered categories), the mean is not useful. You should use the median

instead. In addition, you could make a a chart where you display the relative frequencies

of the age groups (something like this here, or like this, or this).

With kind regards

Karabiner

Yes, answers were categorised as you mentioned above

so Is the median in this question = 42? which means the second group? and then say that the answers of question number 2 are centred around group 2? while the majority of respondents belonged to group 3 (134 respondent = 39%) ?

please correct me if I am wrong!

and what about the variance and standard deviation?

so Is the median in this question = 42? which means the second group? and then say that the answers of question number 2 are centred around group 2? while the majority of respondents belonged to group 3 (134 respondent = 39%) ?

please correct me if I am wrong!

and what about the variance and standard deviation?

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