ost of the problems of analyzing survey data have been reasonably well handled, except those revolving around the existence of interaction effects. Indeed, increased efficiency in handling multivariate analyses even with non-numerical variables, has been achieved largely by assuming additivity. An approach to survey data is proposed which imposes no restrictions on interaction effects, focuses on importance in reducing predictive error, operates sequentially, and is independent of the extent of linearity in the classifications or the order in which the explanatory factors are introduced. | Analysis of Survey Data. Edited by R. L. Chambers and C. J. Skinner Copyright 2003 John Wiley Sons Ltd. ISBN 0-471-89987-9 Analysis of Survey Data WILEY SERIES IN SURVEY METHODOLOGY Established in part by WALTER A. SHEWHART AND SAMUEL s. WILKS Editors Robert M. Groves Graham Kalton J. N. K. Rao Norbert Schwarz Christopher Skinner A complete list of the titles in this series appears at the end of this volume. Analysis of Survey Data Edited by R. L. CHAMBERS and c. J. SKINNER University of Southampton UK .
