Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's Understanding Multivariate Research fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work.

Manufacturing Planning & Control for Supply Chain Management, 6e by Jacobs, Berry, and Whybark (formerly Vollmann, Berry, Whybark, Jacobs) is a comprehensive reference covering both basic and advanced concepts and applications for students and practicing professionals. The text provides an understanding of supply chain planning and control techniques with topics including purchasing, manufacturing, warehouse, and logistics systems. Manufacturing Planning & Control for Supply Chain Management, 6e continues to be organized in a flexible format, with the basic coverage in chapters 1-8 followed by the last four chapters that focus on the integration of manufacturing with the supply chain. Each chapter provides a managerial issues overview, a detailed technical presentation related to the topic, company examples, and concluding principles. This book is the essential desk reference for Supply Chain Planning and Control techniques.

Designed to support students entering the helping professions, Addiction: A Human Experience fosters greater awareness of those who develop substance abuse problems and the experience of treating individuals with addiction issues. The book provides a basic overview of the addiction process with special emphasis on what the experience is like for individuals suffering from addiction. The book examines why people form addictions, the counselor's role in helping, how addiction affects thinking, the family's role when a member becomes addicted, the typical recovery process, and harm reduction and relapse prevention. Numerous case examples serve to illustrate real-world experiences with addiction and the recovery process. Other topics covered include twelve-step and other sober support groups, romantic relationships in early recovery, addiction as a family disease, process addictions, co-occurring disorders, and more. The third edition includes new information regarding addiction to social media and smartphones, modern cognitive approaches for addiction treatment, and fighting temptation and increasing word power. Supporting articles and case studies have been updated and the coverage of harm reduction has been significantly expanded. Designed to supplement standard psychology textbooks addressing substance abuse, Addiction: A Human Experience gives readers a deeper understanding of-and compassion for-those seeking treatment for addiction.

Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's "Understanding Multivariate Research" fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work.