Multivariate Data Analysis - Grand Format

The past decade has seen an explosion in the interest and application of data analytics in both academic research and decision-making in all types of organizations. The emergence of Big Data has provided a newfound wealth of information available to address questions in all fields of study.The eighth edition of Multivariate Data Analysis provides an updated perspective on data analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today's world of analytics.
Multivariate Data Analysis is an advanced level ceát that is suitable for students on business related degrees from final year undergraduate level up to PhD level. Key Features : New chapter on partial least squares uctural equation modeling (PLS-SEM), an emerging technique with equal applicability for researchers in the academic and organizational domains. Unique"Rule of Thumb" feature helps you to learn how to hest use different techniques.
Extended discussions of emerging topics, including causal treatments/inference (i.e., causal analysis of non-experimental data as well as propensity score models) along with multi-level and panel data models (extending regression into new research areas and providing a frathework for cross-sectional/time-series analysis). Online resources for researchers including continued coverage from past editions of all of the analyses from the latest versions of both SAS and SPSS (commands and outputs).