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This book shows how to identify potential design errors and modify procedures in the design process to mitigate design-induced error. Real life examples are used to demonstrate the points being made. Many of the concerns raised in the book have come from a worldwide study conducted with designers, managers, and end-users.
Written by the experts at 37signals, this book shows hundreds of real-world examples from companies like Amazon, Google, and Yahoo that show the right (and wrong) ways to get defensive. Readers will learn 40 guidelines to prevent errors and rescue customers if a breakdown occurs. They'll also explore how to evaluate their own site's defensive design and improve it over the long term.
"Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most important, the book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research."--BOOK JACKET.
Case histories of engineering success and failure are presented to enrich understanding of the design process.
In contrast to nuclear plants and aerospace systems, human error is largely ignored in quantitative risk assessment for petroleum and chemical plants. Because of this, current risk analysis methods are able to calculate and predict only about one-third of the accidents happening in practice. Human Error in Process Plant Design and Operations: A Pra
This textbook provides an introduction to software engineering for undergraduate students of computer science. Its emphasis is on a case study approach in which a project is developed through the course of the book illustrating the different activities of software development. The sequence of chapters is essentially the same as the sequence of activities performed during a typical software project. All activities, including quality assurance and control activities, are described in each chapter as integral activities for that phase of the development process. Similarly, the author carefully introduces appropriate metrics for controlling and assessing the software process. This book is intended for students who have had no previous training in software engineering and is suitable for a one semester course. In this new edition two trends are clearly highlighted: software processes and object orientation. From reviews of the first edition "I can recommend this book for classroom adoption or individual study..." Computing Reviews "Overall, the book is very readable and exceptionally well organized ... exposes the reader to many current sophistictaed formal and quantitative methods." American Scientist
Survey Development: A Theory-Driven Mixed Methods Approach provides both an overview of standard methods and tools for developing and validating surveys and a conceptual basis for survey development that advocates establishing and testing of hypotheses pertaining to presumptions and score-interpretation and use inferences and mixing quantitative and qualitative methods. The book has 14 chapters which are divided into four parts. Part A includes six chapters that deal with theory and methodology. Part B has five chapters and it gets into the process of constructing the survey using both quantitative and qualitative methods. Part C comprises two chapters devoted to assessing the quality or psychometric properties (reliability and validity) of survey responses. Finally, the one chapter in Part D is an attempt to present a synopsis of what was covered in the previous chapters in regard to developing a survey with the TDMM framework for developing survey and conducting survey research. This provides a full process for survey development intended to yield results that can support valid interpretation and use of scores. Including detailed online resources, this book is suitable for graduate students who use or are responsible for interpretation of survey research and survey data as well as survey methodologists and practitioners who use surveys in their field.