Multilevel Modeling in Plain Language - Tapa blanda

Acerca de los autores

Karen Robson is Assistant Professor in the Odette School of Business at the University of Windsor. She holds a BSc(h) in Psychology from Queen’s University, an MA in Psychology, an MBA and PhD from Simon Fraser University. Karen’s research investigates consumer innovativeness, including how consumers repurpose or use market offerings in ways not intended by the manufacturer, the intellectual property law implications of this practice, as well as the gamification of consumer experiences. A recipient of the Joseph-Armand Bombardier Doctoral Scholarship, her work has appeared in journals such as Information & Management, European Journal of Marketing, MIS Quarterly Executive, Business Horizons, Journal of Marketing Education, Journal of Advertising Research, and Journal of Advertising, among others. She is a member of the Editorial Advisory Board of the Sage Express Case Collection.

David Pevalin is Professor in the School of Health and Human Sciences and Dean of Postgraduate Research and Education at the University of Essex. He previously served in the Merchant Navy, the City of London Police and the Royal Hong Kong Police. He studied part time at the University of Hong Kong before graduate studies at the University of Calgary, Canada. He returned to the UK in 1999 as Senior Research Officer at the Institute for Social and Economic Research at the University of Essex and joined his current School in 2003 after obtaining his PhD. He co-authored (with Karen Robson) The Stata Survival Manual (Open University Press), co-edited (with David Rose) The Researcher’s Guide to the National Statistics Socio-economic Classification (Sage), and authored research reports for the Department of Work and Pensions and the Health Development Agency. He has published papers in the Journal of Health and Social Behavior, British Journal of Sociology, Lancet, Public Health, and Housing Studies.

De la contraportada

With a real focus on the practical, this book provides students with a step-by-step approach, plenty of real-life examples, and downloadable data and exercises on the accompanying study website to help take the fear and intimidation out of multilevel modeling