Orthopedic Physical Assessment - E-Book

by David J. Magee, Robert C. Manske

2020 · Elsevier Health Sciences

**Selected for Doody's Core Titles® 2024 with "Essential Purchase" designation in Sports Medicine**Build your skills in the assessment of musculoskeletal pathology! Orthopedic Physical Assessment, 7th Edition covers the principles of assessment for all of the body's structures and joints, including topics such as gait, posture, the head and face, amputees, primary care, and sports emergencies. The 7th edition offers additional functional assessment forms (e-tools), updated evidence-based reliability and validity tables, and hundreds of video clips (included with print purchase) demonstrating special tests on how to perform musculoskeletal assessment. Written by noted PT educators David J. Magee and Robert C. Manske, this reference uses a systematic, evidence-based approach to prepare you for success in clinicals, board exams, and in rehabilitation practice. - Over 2,500 full-color illustrations and photographs depict key concepts, along with assessment techniques and special tests. - At-a-glance icons show the clinical utility of special tests, supplemented by updated, evidence-based reliability and validity tables for tests and techniques - Quick-reference data includes hundreds of summary boxes, red-flag and yellow-flag boxes, differential diagnosis tables, muscle and nerve tables, and classification, normal values, and grading tables. - A Summary (Précis) of Assessment in each chapter serves as a review of assessment steps. - Combined with other books in the Musculoskeletal Rehabilitation series — Scientific Foundations and Principles of Practice, Pathology and Intervention, and Athletic and Sports Issues — this book provides you with the knowledge and background necessary to assess and treat musculoskeletal conditions. - NEW! Updated information in all chapters includes new special tests, as well as photos, line drawings, boxes, tables, and references. - NEW! Head and Face chapter features updated information on concussion management. - NEW! Enhanced Diagnostic Ultrasound Imaging section added to applicable chapters, along with new photos and diagnostic images. - NEW! Updated psychometric tables for special tests list reliability, sensitivity, specificity, and + and – likelihood ratios when available. - NEW! More case studies present real-life scenarios to help you develop assessment and diagnostic skills using information from the chapter. - NEW! Additional functional assessment forms (e-tools) have been incorporated. - NEW! Video clips, included with print purchase, demonstrate special tests to give you a clearer understanding of how to perform musculoskeletal assessment. - NEW! Enhanced ebook version, included with print purchase, provides access to all of the text, figures, and references from the book on a variety of devices.

R Data Analysis without Programming

by David W. Gerbing

2023 · Taylor & Francis

The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R. Professor Gerbing has developed lessR, a ground-breaking method in alleviating the challenges of R programming. The lessR extends R, removing the need for programming. This edition expands upon the first edition’s introduction to R through lessR, which enables the readers to learn how to organize data for analysis, read the data into R, and generate output without performing numerous functions and programming exercises first. With lessR, readers can select the necessary procedure and change the relevant variables with simple function calls. The text reviews and explains basic statistical procedures with the lessR enhancements added to the standard R environment. Using lessR, data analysis with R becomes immediately accessible to the novice user and easier to use for the experienced user. Highlights along with content new to this edition include: Explanation and Interpretation of all data analysis techniques; much more than a computer manual, this book shows the reader how to explain and interpret the results. Introduces the concepts and commands reviewed in each chapter. Clear, relaxed writing style more effectively communicates the underlying concepts than more stilted academic writing. Extensive margin notes highlight, define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number for the initial introduction. Scenarios that highlight the use of a specific analysis followed by the corresponding R/lessR input, output, and an interpretation of the results. Numerous examples of output from psychology, business, education, and other social sciences, that demonstrate the analysis and how to interpret results. Two data sets are analyzed multiple times in the book, provide continuity throughout. Comprehensive: A wide range of data analysis techniques are presented throughout the book. Integration with machine learning as regression analysis is presented from both the traditional perspective and from the modern machine learning perspective. End of chapter problems help readers test their understanding of the concepts. A website at www.lessRstats.com that features the data sets referenced in both standard text and SPSS formats so readers can practice using R/lessR by working through the text examples and worked problems, R/lessR videos to help readers better understand the program, and more. This book is ideal for graduate and undergraduate courses in statistics beyond the introductory course, research methods, and/or any data analysis course, taught in departments of psychology, business, education, and other social and health sciences; this book is also appreciated by researchers doing data analysis. Prerequisites include basic statistical knowledge, though the concepts are explained from the beginning in the book. Previous knowledge of R is not assumed.