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Validation—recognizing and accepting your child’s thoughts and feelings, regardless of whether or not you feel that your child should be experiencing them—helps children develop a lifelong sense of self-worth. Children who are validated feel reassured that they will be accepted and loved regardless of their feelings, while children who are not validated are more vulnerable to peer pressure, bullying, and emotional and behavioral problems. The Power of Validation is an essential resource for parents seeking practical skills for validating their child’s feelings without condoning tantrums, selfishness, or out-of-control behavior. You’ll practice communicating with your child in ways that instantly impact his or her mood and help your child develop the essential self-validating skills that set the groundwork for confidence and self-esteem in adolescence and beyond. “...There is valuable advice here. This approach takes mindfulness, patience, and a long-term vision, but parents who are able to help their children trust their emotional landscapes will have an easier time of scaffolding to higher reasoning, in addition to more secure relationships with their youngsters. Highly recommended.” —Library Journal, STARRED REVIEW, Rebecca Raszewski, University of Illinois Library, Chicago
Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.
The Understanding Research series focuses on the process of writing up social research. The series is broken down into three categories: Understanding Statistics, Understanding Measurement, and Understanding Qualitative Research. The books provide researchers with guides to understanding, writing, and evaluating social research. Each volume demonstrates how research should be represented, including how to write up the methodology as well as the research findings. Each volume also reviews how to appropriately evaluate published research. Validity and Validation is an introduction to validity theory and to the methods used to obtain evidence for the validity of research and assessment results. The book pulls together the best thinking from educational and psychological research and assessment over the past 50 years. It briefly describes validity theory's roots in the philosophy of science. It highlights the ways these philosophical perspectives influence concepts of internal and external validity in research methodology, as well as concepts of validity and reliability in educational and psychological tests and measurements. Each chapter provides multiple examples (e.g., research designs and examples of output) to help the readers see how validation work is done in practice, from the ways we design research studies to the ways we interpret research results. Of particular importance is the practical focus on validation of scores from tests and other measures. The book also addresses strategies for investigating the validity of inferences we make about examinees using scores from assessments, as well as how to investigate score uses, the value implications of score interpretations, and the social consequences of score use. With this foundation, the book presents strategies for minimizing threats for validity as well as quantitative and qualitative methods for gathering evidence for the validity of scores.
The Validation Breakthrough is an essential resource for all settings providing dementia care including assisted living facilities, nursing homes, skilled nursing facilities, hospice, home health care, adult day services, family care settings, and more.
RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models. At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints. This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications.
With the publication of the Final CLIA Rule, new method validation responsibilities came to the laboratory. Previously, moderately complex methods did not need to be validated. But the Final Rule combined moderately and highly complex methods into a category of non-waived methods. Now Laboratories must validate all non-waived methods introduced after April 24, 2003. To help laboratory professionals comply with these new regulatory changes, a second edition of this manual was prepared. Book jacket.
Written for practitioners in both the drug and biotechnology industries, this handbook carefully compiles the current regulatory requirements to correctly and properly validate a new or modified analytical method. The Handbook of Analytical Validation is designed to teach readers how to fully and correctly adapt new or modified analytical methods to meet regulatory requirements. The contents offer the latest regulatory requirements for submitting applications for new drugs or other applications, as regards analytical method validation. The chapters apply to both small molecules in the conventional pharmaceutical industry, as well the biotech industry.
Historically, the terms validation and verification have been very loosely defined in the system engineering world, with predictable confusion. Few hardware or software testing texts even touch upon validation and verification, despite the fact that, properly employed, these test tools offer system and test engineers powerful techniques for identifying and solving problems early in the design process. Together, validation and verification encompass testing, analysis, demonstration, and examination methods used to determine whether a proposed design will satisfy system requirements. System Validation and Verification clear definitions of the terms and detailed information on using these fundamental tools for problem solving. It smoothes the transition between requirements and design by providing methods for evaluating the ability of a given approach to satisfy demanding technical requirements. With this book, system and test engineers and project managers gain confidence in their designs and lessen the likelihood of serious problems cropping up late in the program. In addition to explanations of the theories behind the concepts, the book includes practical methods for each step of the process, examples from the author's considerable experience, and illustrations and tables to support the ideas. Although not primarily a textbook, System Validation and Verification is based in part on validation and verification courses taught by the author and is an excellent supplemental reference for engineering students. In addition to its usefulness to system engineers, the book will be valuable to a wider audience including manufacturing, design, software , and risk management project engineers - anyone involved in large systems design projects.
Adverse impact analyses and test validation promote social justice and equity. Employers who unknowingly use invalid tests or recruitment procedures that have an adverse impact are reducing minority and/or female representation in their workforce, unfairly screening out qualified workers and (worst of all) just plain discriminating. This book provides you with analyses that allow you to identify which of your selection procedures have adverse impact. The validation steps will help you decide whether to keep the selection procedure (because it's valid), change it, or stop using it altogether. The CD included in the back cover of the book includes tools (which may be used on a trial evaluation basis) describing several of the functions described in the book, including Adverse Impact Toolkit®, Test Validation and Analysis Program® (TVAP®), and Guidelines Oriented Job Analysis® (GOJA®) Manual. This guide goes beyond the concepts, theories and ideas behind adverse impact and test validation. It not only explains what to do but crucially, also shows you how to do it.