Complex Data Modeling and Computationally Intensive Statistical Methods

Like others in the Sage Benchmarks in Social Research Methods series (published since 2001; now with over 60 four-volume sets in print), this four-volume reference presents key historical and contempo

Principles & Methods of Quantitative Data Analysis is intended for first year graduate students and advanced undergraduate students in the behavioral sciences who possess some knowledge of the standar

This collection, assembled and introduced by the esteemed editorial team of acclaimed Social Statistics, tracks the development of statistical methods for continuous or interval-scale data. The volume

Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods f

Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods f

Categorical data are abundant in applied research (e.g. gender, ethnicity, socioeconomic status, educational attainment). Students and researchers are increasingly interested in performing statistical

Do you have data that is not normally distributed and don't know how to analyze it using generalized linear models (GLM)? Beginning with a discussion of fundamental statistical modeling concepts in a

Advanced Issues in Partial Least Squares Structural Equation Modeling provides a practical and applied description of advanced issues in PLS-SEM relevant for students, professors and applied researchers. Authors Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, Siegfried P. Gudergan combine simple explanations of complex statistical concepts with examples and case studies that readers can follow using datasets available with the book. Furthermore, instead of providing technical descriptions of the concepts with a multitude of formulae, the book will focus on the appropriate analysis of data and interpretation of outputs. Many of the examples are based on the SmartPLS software, created and maintained by the authors. The book is easy to use for both independent and guided learning, including numerous graphs, tables, illustrations, multiple downloadable datasets (provided on a companion website), exercises, and further readings. Where appropriate, supplementary analyses and data mana