Site Usage Survey

It is important to us to understand our users so that we can continue to improve ReStore - the whole survey is just the questions you can see here.

Which category best describes your background?

Which is your current location?

What was your main reason for visiting ReStore today

On a scale of 5=Very useful to 1=not at all useful, how useful was the material you have found on this visit?
5  4  3  2  1

Which best describes your previous knowledge of ReStore

Please tell us which part of the ReStore site you visited today and how you expect to make use of the information you have gained. If you have any further feedback for the ReStore team, please also include it here

Your Email (Optional - if you are willing for us to contact you about your feedback):

Thank you for your time. Finally, we need to check you're not just a machine (sorry!) - please copy the code below into the last box.


Enter security code:

ECONOMIC & SOCIAL RESEARCH COUNCIL
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Site last updated 07/05/09
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To view in larger or smaller fonts: change the text-size from your browser's view menu

Links that go outside the PEAS site will open in new browser windows, leaving your P|E|A|S window open.

Most links to other parts of the P|E|A|S site will appear in your current window, so you will need to press the back button, or the side menu, to get back to where you were.

A few files in the PEAS site will open as new pop-up windows, and for this your browser will need to allow pop-up windows to be seen.

Information pop-ups signalled by a contain explanations that will appear when you click on them. You can close them by clicking your mouse anywhere on a main P|E|A|S page.

Links on the right hand column go to code or results that shows how techniques are implemented in different statistical packages.

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The following pages give details of the packages and the survey procedures available for each.

The P|E|A|S site can help you to learn the survey routines from each packages. These pages contain links to other sites where you can find general help and support in using each package.

A:The R package

B: The SAS package

C: The Stata package

D: The SPSS package

Details on what each of these packages can offer as routines for imputation is in section 6.6 of the imputation theory section.

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The software packages PEAS is using for
data analysis are: R, Stata, SPSS and SAS.

peas project 2004.