A textbook with models for improving skills in technical communication.

Practical Models of Technical Communication is a college-level textbook for technical writers and communicators. Written in plain and accessible language, this textbook is designed to provide students with solid tools, useful models, interesting scenarios, and a vocabulary of technical terms that will allow them to communicate effectively as part of a fast-paced, global workforce. Its approachable, real-world examples and detailed visuals guide students in creating multimodal, technical documents that reach a broad audience. This book explores the fundamentals of technical communication, expanding on the following topics: • Writing and organizing an array of technical documents such as definitions, descriptions, instructions, procedures, proposals, and reports • Embracing ethical communication visually and in writing • Designing documents for readability, emphasis, and organization • Increasing rhetorical awareness of multimodality in all types of communication • Researching and documenting source material effectively • Crafting successful job materials for entering the workforce • Communicating professionally within various work environments • Navigating the changing needs of audiences that technical writers meet along the way

Drawing on social justice methodologies and cultural studies scholarship, Key Theoretical Frameworks offers new curricular and pedagogical approaches to teaching technical communication. Including original essays by emerging and established scholars, the volume educates students, teachers, and practitioners on identifying and assessing issues of social justice and globalization. The collection provides a valuable resource for teachers new to translating social justice theories to the classroom by presenting concrete examples related to technical communication. Each contribution adopts a particular theoretical approach, explains the theory, situates it within disciplinary scholarship, contextualizes the approach from the author’s experience, and offers additional teaching applications. The first volume of its kind, Key Theoretical Frameworks links the theoretical with the pedagogical in order to articulate, use, and assess social justice frameworks for designing and teaching courses in technical communication. Contributors: Godwin Y. Agboka, Matthew Cox, Marcos Del Hierro, Jessica Edwards, Erin A. Frost, Elise Verzosa Hurley, Natasha N. Jones, Cruz Medina, Marie E. Moeller, Kristen R. Moore, Donnie Johnson Sackey, Gerald Savage, J. Blake Scott, Barbi Smyser-Fauble, Kenneth Walker, Rebecca Walton

The field of technical communication is rapidly expanding in both the academic world and the private sector, yet a problematic divide remains between theory and practice. Here Stuart A. Selber and Johndan Johnson-Eilola, both respected scholars and teachers of technical communication, effectively bridge that gap. Solving Problems in Technical Communication collects the latest research and theory in the field and applies it to real-world problems faced by practitioners—problems involving ethics, intercultural communication, new media, and other areas that determine the boundaries of the discipline. The book is structured in four parts, offering an overview of the field, situating it historically and culturally, reviewing various theoretical approaches to technical communication, and examining how the field can be advanced by drawing on diverse perspectives. Timely, informed, and practical, Solving Problems in Technical Communication will be an essential tool for undergraduates and graduate students as they begin the transition from classroom to career.

First multi-year cumulation covers six years: 1965-70.

In every decision problem there are things we know and things we do not know. Risk analysis science uses the best available evidence to assess what we know while it is carefully intentional in the way it addresses the importance of the things we do not know in the evaluation of decision choices and decision outcomes. The field of risk analysis science continues to expand and grow and the second edition of Principles of Risk Analysis: Decision Making Under Uncertainty responds to this evolution with several significant changes. The language has been updated and expanded throughout the text and the book features several new areas of expansion including five new chapters. The book’s simple and straightforward style—based on the author’s decades of experience as a risk analyst, trainer, and educator—strips away the mysterious aura that often accompanies risk analysis. Features: Details the tasks of risk management, risk assessment, and risk communication in a straightforward, conceptual manner Provides sufficient detail to empower professionals in any discipline to become risk practitioners Expands the risk management emphasis with a new chapter to serve private industry and a growing public sector interest in the growing practice of enterprise risk management Describes dozens of quantitative and qualitative risk assessment tools in a new chapter Practical guidance and ideas for using risk science to improve decisions and their outcomes is found in a new chapter on decision making under uncertainty Practical methods for helping risk professionals to tell their risk story are the focus of a new chapter Features an expanded set of examples of the risk process that demonstrate the growing applications of risk analysis As before, this book continues to appeal to professionals who want to learn and apply risk science in their own professions as well as students preparing for professional careers. This book remains a discipline free guide to the principles of risk analysis that is accessible to all interested practitioners. Files used in the creation of this book and additional exercises as well as a free student version of Palisade Corporation’s Decision Tools Suite software are available with the purchase of this book. A less detailed introduction to the risk analysis science tasks of risk management, risk assessment, and risk communication is found in Primer of Risk Analysis: Decision Making Under Uncertainty, Second Edition, ISBN: 978-1-138-31228-9.