This book's primary objective is to provide a comprehensive coverage of ergonomics in overall work system analysis and design. It provides a summary of the historical development of macroergonomics. It explains how an understanding of macroergonomics can lead to improvements in such things as reducing work-related lost time accidents; and describes the methods and tools used in work system analysis and design. Throughout, the integrating theme is that the full potential of an organization--in terms of productivity, safety, health, and Quality of Work Life (QWL)--can't be met unless the overall work system is designed to conform with the characteristics of its technology, personnel subsystem, and the external environment upon which it depends for its survival and success. Using a sociotechnical systems approach, this text discusses the application of macroergonomics to training system development, hazard management, technology transfer, large scale organizational change projects, office and factory automation, community planning and development, and job design. For each of these applications, actual case examples will be included.
The book will appeal to teachers of introductory human factors/ergonomics courses as a supplemental text or as the primary text for a course fully devoted to macroergonomics. In addition, it should also appeal to practicing ergonomists internationally as a "must" add to their personal professional libraries.

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings. New in the Fourth Edition: Extensive improvements based on suggestions from those using this book in the classroom Statistical procedures that have been developed and validated since the previous edition Each chapter in the body now contains relevant key words, chapter summaries, key word definitions, and end of chapter exercises (with answers) Revisions to include recent changes in the APA Style Manual When looking for a book for their own use, the authors found none that were totally suitable. They found books that either reviewed the basics of behavioral research and experimental design but provided only cursory coverage of statistical methods or they provided coverage of statistical methods with very little coverage of the research context within which these methods are used. No single resource provided coverage of methodology, statistics, and communication skills. In a classic example of necessity being the mother of invention, the authors created their own. This text is ideal for a single course that reviews research methods, essential statistics through multi-factor analysis of variance, and thesis (or major project) preparation without discussion of derivation of equations, probability theory, or mathematic proofs. It focuses on essential information for getting a research project completed without prerequisite math or statistics training. It has been revised many times to help students at a variety of academic levels (exceptional high school students, undergraduate honors students, masters students, doctoral students, and post-doctoral fellows) across varied academic disciplines (e.g., human factors and ergonomics, behavioral and social sciences, natural sciences, engineering, exercise and sport sciences, business and management, industrial hygiene and safety science, health and medical sciences, and more). Illustrating how to plan, prepare, conduct, and analyze an experimental or research report, the book emphasizes explaining statistical procedures and interpreting obtained results without discussing the derivation of equations or history of the method. Destined to spend more time on your desk than on the shelf, the book will become the single resource you reach for again and again when conducting scientific research and reporting it to the scientific community. Illustrates how to plan, conduct, analyze, and prepare an experimental or research report Includes new statistical procedures that have been developed and validated since the previous edition Incorporates SAS in the exercises at the end of each chapter Takes into account the changes in the APA guidebook Provides new examples in exercise and sport science, public health, gerontology, and biomedical areas Solutions manual available upon qualifying course adoption

Research suggests that ergonomists tend to restrict themselves to two or three of their favorite methods in the design of systems, despite a multitude of variations in the problems that they face. Human Factors and Ergonomics Methods delivers an authoritative and practical account of methods that incorporate human capabilities and limitations, environmental factors, human-machine interaction, and other factors into system design. The Handbook describes 83 methods in a standardized format, promoting the use of methods that may have formerly been unfamiliar to designers. The handbook comprises six sections, each representing a specialized field of ergonomics with a representative selection of associated methods. The sections highlight facets of human factors and ergonomics in systems analysis, design, and evaluation. Sections I through III address individuals and their interactions with the world. Section IV explores social groupings and their interactions (team methods), and Section V examines the effect of the environment on workers. The final section provides an overview of work systems-macroergonomics methods. An onion-layer model frames each method; working from the individual, to the team, to the environment, to the work system. Each chapter begins with an introduction written by the chapter's editor, offering a brief overview of the field and a description of the methods covered. The Handbook provides a representative set of contemporary methods that are valuable in ergonomic analyses and evaluations. The layout of each chapter is standardized for ease-of-use, so you can quickly locate relevant information about each method. Content descriptions are brief, and references are made to other texts, papers, and case studies. Standard descriptions of methods encourage browsing through several potential methods before tackling a problem.

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings. New in the Fourth Edition: Extensive improvements based on suggestions from those using this book in the classroom Statistical procedures that have been developed and validated since the previous edition Each chapter in the body now contains relevant key words, chapter summaries, key word definitions, and end of chapter exercises (with answers) Revisions to include recent changes in the APA Style Manual When looking for a book for their own use, the authors found none that were totally suitable. They found books that either reviewed the basics of behavioral research and experimental design but provided only cursory coverage of statistical methods or they provided coverage of statistical methods with very little coverage of the research context within which these methods are used. No single resource provided coverage of methodology, statistics, and communication skills. In a classic example of necessity being the mother of invention, the authors created their own. This text is ideal for a single course that reviews research methods, essential statistics through multi-factor analysis of variance, and thesis (or major project) preparation without discussion of derivation of equations, probability theory, or mathematic proofs. It focuses on essential information for getting a research project completed without prerequisite math or statistics training. It has been revised many times to help students at a variety of academic levels (exceptional high school students, undergraduate honors students, masters students, doctoral students, and post-doctoral fellows) across varied academic disciplines (e.g., human factors and ergonomics, behavioral and social sciences, natural sciences, engineering, exercise and sport sciences, business and management, industrial hygiene and safety science, health and medical sciences, and more). Illustrating how to plan, prepare, conduct, and analyze an experimental or research report, the book emphasizes explaining statistical procedures and interpreting obtained results without discussing the derivation of equations or history of the method. Destined to spend more time on your desk than on the shelf, the book will become the single resource you reach for again and again when conducting scientific research and reporting it to the scientific community. Illustrates how to plan, conduct, analyze, and prepare an experimental or research report Includes new statistical procedures that have been developed and validated since the previous edition Incorporates SAS in the exercises at the end of each chapter Takes into account the changes in the APA guidebook Provides new examples in exercise and sport science, public health, gerontology, and biomedical areas Solutions manual available upon qualifying course adoption

Contents:
Contents Preface Acknowledgements Human Factors and Ergonomics Methods edited edited by Neville A. Stanton Part 1. Physical Methods edited by Alan Hedge. Part 2. Psychophysiological Methods edited by Karel Brookhuis. Part 3. Behavioural-cognitive Methods edited by Neville A. Stanton. Part 4. Team Methods edited by Eduardo Salas. Part 5. Environmental Methods edited by Alan Hedge. Part 6. Macroergonomics Methods edited by Hal W. Hendrick.