This text provides a solid introduction to concepts such as statistical control, mediation, moderation, and path modeling necessary to students taking intermediate and advanced statistics courses across the social sciences.
Created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques, this introductory statistics text reflects current thinking in the field and uses a contemporary approach that differs from other well-worn texts in the market.
This series aims to make statistics and research design more accessible to investigators and students. Each volume offers guidance on how design and theoretical issues affect implementation and interpretation, common errors to avoid, and how to interpret the output from computer program packages.Provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. Topics covered include research design, ...
Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics, equations are accompanied by verbal explanations. Students are asked to think about the meanin...