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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.
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