The Skilled Helper


Book Description

Internationally recognised for its successful problem-management approach to effective helping, this book offers a step-by-step guide to the counselling process.




Medical-Surgical Nursing - Single-Volume Text and Elsevier Adaptive Learning Package


Book Description

Corresponding chapter-by-chapter to Medical-Surgical Nursing, 9e, Elsevier Adaptive Learning combines the power of brain science with sophisticated, patented Cerego algorithms to help you learn faster and remember longer. It's fun; it's engaging; and it's constantly tracking your performance and adapting to deliver content precisely when it's needed to ensure core information is transformed into lasting knowledge. Please refer to the individual product pages for the duration of access to these products. An individual study schedule reduces cognitive workload and helps you become a more effective learner by automatically guiding the learning and review process. The mobile app offers a seamless learning experience between your smartphone and the web with your memory profile maintained and managed in the cloud. UNIQUE! Your memory strength is profiled at the course, chapter, and item level to identify personal learning and forgetting patterns. UNIQUE! Material is re-presented just before you would naturally forget it to counteract memory decay. A personalized learning pathway is established based on your learning profile, memory map, and time required to demonstrate information mastery. The comprehensive student dashboard allows you to view your personal learning progress.







Applied Statistics I


Book Description

Applied Statistics I: Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques. The author's contemporary approach differs from some of the well-worn texts in the market, and reflects current thinking in the field. It spends less time on statistical significance testing, and moves in the direction of the "new statistics" by focusing more on confidence intervals and effect size. Instructors of upper undergraduate or beginning graduate level courses will find that the greater focus on basic concepts such as partition of variance and effect size is more useful to students, particularly as preparation for more advanced courses. Spending less time on statistical significance testing allows for more time to be devoted to more interesting and useful statistics that students will see in journal articles (such as correlation and regression). This introductory statistics text includes examples in SPSS, together with datasets on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.




Applied Statistics: From Bivariate Through Multivariate Techniques


Book Description

Rebecca M. Warner's 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 meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.




Applied Statistics II


Book Description

Rebecca M. Warner's bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. This new multivariate statistics text, Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is based on chapters from the second half of original book, but with much additional material. This text now provides a distinctive bridge between earlier courses and advanced topics through extensive discussion of statistical control (adding a third variable), a new chapter on the "new statistics", a new chapter on outliers and missing values, and a final chapter that provides an introduction to structural equation modeling. 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. Examples are provided in SPSS with datasets available on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.