PEAS:Practical Exemplars and Survey Analysis

Welcome: Practical Exemplars and Survey Analysis Explore this resource

Practical Exemplars and Survey Analysis Explore this resource

P|E|A|S (Practical Exemplars and Survey Analysis), supported by the ESRC Research Methods programme, aims to show social researchers

how to analyze complex surveys using different packages
why this is important by looking at the theory behind the methods and
what are the practical consequences for real examples
how to make allowance for survey non-response using weighting or imputation More

Authors

People who originated and developed this resource are based in the Napier University, Edinburgh. The original authors of this resource were Gillian Raab, Kathy Buckner, Susan Purdon and Iona Waterston at the Faculty of Health, Life & Social Sciences>, Edinburgh Napier University. They worked actively on the resource site until 2008. The ReStore team is intouch with the principal investigator concerning further updates and maintenance of this resource.

Original Project

The project funded by RMP, aims to to develop a web-based resource which will take the survey analyst through exemplars of the use of different methods that are currently available for the analysis of complex surveys. In addition to that one of the aims of the project is to hold a series of workshops aimed at researchers who analyse survey data. The participants have used the draft training material to carry out analyses of selected data sets. The workshops have been integral to the development of the web resource

Quick Summary

P|E|A|S (Practical Exemplars and Survey Analysis), supported by the ESRC Research Methods programme, aims to show social researchers

how to analyze complex surveys using different packages
why this is important by looking at the theory behind the methods and
what are the practical consequences for real examples
how to make allowance for survey non-response using weighting or imputation

Moreover the overall goal has been to spread good practice in survey design and analysis both within and beyond the academic sector.

How will the project help survey researchers?

Recent developments in survey methodology, such as the calculation of complex standard errors and multiple imputation methods for missing data, are now implemented in a variety of software packages. The survey researcher needs to know:

what methods are available
what are their advantages and limitations
how easy is it to implement them
how do the results compare from different approaches and different software when used to analyse the same data

Date of Restoration

This project has been restored into ReStore repository on 29/05/2009.