Welcome: Practical Exemplars on the Analysis of Surveys  

P|E|A|S (Practical Exemplars on the Analysis of Surveys), 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

Objectives

The Web resource takes the survey analyst through exemplars of the use of different methods that are currently available for the analysis of complex surveys. It also containes materials from series of workshops held during the project tenure aimed at researchers analysing survey data. The participants used the draft training material to carry out analyses of selected data sets. The workshops were integral to the development of the web resource. 

Authors

People who originated and developed this resource were based in 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. For more details please see

Quick Summary

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:

  1. What methods are available
  2. What are their advantages and limitations
  3. How easy is it to implement them
  4. How do the results compare from different approaches and different software when used to analyse the same data     

This web resource addresses the above points by engaging the researchers in survey analysis through exemplars and other methods currently used in related disciplines.  

 

 

Classification

ICT, Software and Simulation (general) :: Research Management and Application of Research (general) :: Management of User Involvement :: Frameworks for Research and Research Designs (general) :: Evaluation Research :: Mixed Methods ::

ReStoration date

This web resource has been restored on:2012-05-29

Last updated:

This web resource has been updated on:2012-06-01