This is a book for any researcher using survey data or quantitative secondarydata. It introduces the reader to the latest methods of assessing the qualityand validity of such data by providing new ways of managing variation and measuring error. By practically and accessibly demonstrating to readers new techniques derived from multiple correspondence analysis (MCA) and Catagorical Principle Components Analysis (CatPCA), the book provides a more accessible alternative to structural equation modelling (SEM) techniques.
- ISBN: 978-1-84920-332-6
- Editorial: Sage Publications
- Encuadernacion: Rústica
- Páginas: 200
- Fecha Publicación: 01/02/2012
- Nº Volúmenes: 1
- Idioma: Inglés