Print

Print



Dear all,

the Centre for Census and Survey Research (www.ccsr.ac.uk) at the University of Manchester will be running a number of one-day training courses in March on research skills and methods. See http://www.ccsr.ac.uk/courses/list/

Understanding Statistics - A One Day Course

4th March 2011 (9.30am - 4:30pm)

This course is an opportunity for participants to ask the basic statistical questions they have always wanted to ask. It focuses on basic statistical concepts such as: the four levels of measurement, measures of central tendency (median, mean, and mode), measures of dispersion (percentiles, variance, standard deviation, and standard error), confidence intervals, hypothesis testing, design effects and the issue of causality. These skills allow participants to interpret and evaluate existing research findings within the remit of basic statistics. The course is composed of a combination of lectures and practicals. The course will provide participants with the expertise required to evaluate the meaning, robustness and generalisability of basic statistical research findings.

Web Access Panels - A One Day Course

23rd March 2011 (9.30am - 4:30pm) 

Web access panels or opt-in panels have been popular since the widespread adoption of browser-based Internet access. Most of these are based on non-probability recruitment methods. The goal is typically to gather a very large and diverse pool of volunteers, from which selected groups of panel members can be invited to specific surveys. While widely used by market researchers, such panels are also popular among academics and non-profit researchers. However, a growing number of recent studies have raised questions about the utility of these panels for the range of purposes to which they are put. This course will present an overview of the different approaches to Web access panels, with a focus on the users of such panels. The course will review the literature and present evidence on the advantages and disadvantages of using such panels for research, relative to using alternative approaches to survey data collection. Controversies regarding the inferential value or limits of such panels will be reviewed.


Mixed Mode Methods in Surveys - A One Day Course

24th March 2011 1 day (9.30am - 4:30pm) 

Given the declining response rates and increasing cost of surveys over the past several years, researchers are increasingly turning to mixed-mode surveys. Mixed-mode surveys also offer the promise of reducing measurement error or improving data quality for certain types of items. Specifically, mixed-mode surveys attempt to combine the benefits of reduced cost and improved data quality associated with self-administered methods (e.g., Web and mail) with the improved representational qualities (especially coverage and nonresponse error reduction) associated with interviewer-administered methods (face-to-face or telephone). A wide variety of different mixed-mode methods have been evaluated and deployed. This course offers an overview of the different approaches to mixed-mode survey design, presents a summary of what is known and not known about mixing methods, and offers a set of guidelines to help the researcher make decisions about mixing modes of data collection

For more information and to book please go to http://www.ccsr.ac.uk/courses/list/

Dr. K. Purdam
CCSR
University of Manchester
M13 9PL
UK

****************************************************** Please note that if you press the 'Reply' button your message will go only to the sender of this message. If you want to reply to the whole list, use your mailer's 'Reply-to-All' button to send your message automatically to [log in to unmask] Disclaimer: The messages sent to this list are the views of the sender and cannot be assumed to be representative of the range of views held by subscribers to the Radical Statistics Group. To find out more about Radical Statistics and its aims and activities and read current and past issues of our newsletter you are invited to visit our web site www.radstats.org.uk. *******************************************************