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

Val Garland, the fashion industry's leading makeup artist, explores her career highlights and the inspiration behind her most memorable work. She talks for the first time about working with cultural icons including Kate Moss, Edward Enninful, Nick Knight, Vivienne Westwood, John Galliano, and more. Structured around key themes from Val's work, from raw to color chaos, sexy to savage, the book is packed with campaign and catwalk photography, magazine covers, and backstage pictures as well as anecdotes and quotes from leading industry figures. Validated is a must-have for fashion lovers, industry professionals, makeup artists, and followers of Val Garland.

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.

Want to know what your users are thinking? If you’re a product manager or developer, this book will help you learn the techniques for finding the answers to your most burning questions about your customers. With step-by-step guidance, Validating Product Ideas shows you how to tackle the research to build the best possible product.

This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations. Topics and features: introduces the fundamental concepts and principles related to the validation of computer simulations, and examines philosophical frameworks for thinking about validation; provides an overview of the various strategies and techniques available for validating simulations, as well as the preparatory steps that have to be taken prior to validation; describes commonly used reference points and mathematical frameworks applicable to simulation validation; reviews the legal prescriptions, and the administrative and procedural activities related to simulation validation; presents examples of best practice that demonstrate how methods of validation are applied in various disciplines and with different types of simulation models; covers important practical challenges faced by simulation scientists when applying validation methods and techniques; offers a selection of general philosophical reflections that explore the significance of validation from a broader perspective. This truly interdisciplinary handbook will appeal to a broad audience, from professional scientists spanning all natural and social sciences, to young scholars new to research with computer simulations. Philosophers of science, and methodologists seeking to increase their understanding of simulation validation, will also find much to benefit from in the text.