This specific ISBN edition is currently not available.View all copies of this ISBN edition:
This four-volume collection brings together the key publications on the secondary analysis of data and embraces many aspects of how to analyze quantitative survey data, whether primary or secondary. As secondary analysis, defined as use of data that was collected by individuals other than the investigator, is often a starting point for other social science research methods, this set will be a critical resource for researchers across the social sciences.
"synopsis" may belong to another edition of this title.
Nick Allum is Professor of Sociology at the University of Essex, with expertise in survey design and analysis, public understanding of science, social and political trust and risk perception. He has published widely in these areas and is a regular advisor to government and 3rd sector partners on large-scale research projects in the area of public understanding of science and survey research more generally. He teaches statistical methods, directs the MSc in Survey Methods for Social Research at Essex and specialises in latent variable and structural equation modelling. Nick has been academic advisor for several major UK surveys, including the Wellcome Trust Monitor and the Dept of Business Industry and Skills (BIS) Public Attitudes to Science Survey as well as advising the US National Science Board on several science surveys. Nick is currently General Secretary of the European Survey Research Association.
"About this title" may belong to another edition of this title.
Book Description SAGE Publications Ltd, 2009. Condition: New. book. Seller Inventory # M141290384X
Book Description Sage Pubns Ltd, 2009. Hardcover. Condition: Brand New. 1st edition. 1664 pages. 9.50x6.50x5.00 inches. In Stock. Seller Inventory # zk141290384X