Statistics in Context offers a fresh approach to teaching statistics. Designed to reduce students' fear of numbers, the text aims to put statistics-wary readers at ease with uncomplicated explanations and practical examples drawn from real research and everyday life. Written in lively, accessible prose, the narrative describes the who, what, when, where, and why, and also the how, of statistics. DISTINCTIVE FEATURES * "Everyday Statistics" boxes examine practical applications and relate them to the themes of the chapter * "The Historical Context" features tell the story of how different statistical procedures developed * "CheckPoint "exercises give students the chance to review the material and assess their understanding at the end of each section * "Think About It" boxes challenge students to apply what they have learned to a difficult problem * A variety of figures, tables, and worked examples guide students step by step through the calculations described in the text * Abundant end-of-chapter practice problems give students many opportunities to test their mastery of the procedures described in the text * The "Using Statistical Software" supplement teaches students how to perform statistical analysis using either SPSS or R

This clear and practical workbook shows the importance of encouraging resilience in pre-school children who live in challenging circumstances. Focusing on assessment of need, Brigid Daniel and Sally Wassell show how to evaluate resilience using checklists and background information. They explain that children in their early years gain resilience from a range of experiences, including attachment relationships, opportunities to develop self-esteem and learning to understand others and behaving in a positive way towards them. With this in mind, they set out ways of encouraging pro-social behaviour in young children: involving them in the process of evaluation, giving support to the parent or carer of the child, and using activities to nurture the child's `theory of mind'. Including guidance on ongoing monitoring and supported by case studies from practice, this book is an essential guide to nurturing resilience for all those who work with young children and their families. The workbook stands alone but also forms part of a set along with two other resilience resources on The School Years and Adolescence. The complete set can be bought together at a reduced price.

Find out your IQ, the fun way . . . ------------------------- Underline the odd-man-out house igloo bungalow office hut ------------------------- Insert the word that means the same as the two words outside the brackets. fowl (......) grumble ------------------------- The intelligence quotient remains the definitive means of assessing brain capacity, and this classic book, originally published in 1962, was the first that permitted readers to determine their own I.Q. It includes an introduction by the prolific psychologist Hans Eysenck, followed by a range of easy to difficult I.Q. challenges. At the back of the book you can find the answers and your personal I.Q. rating. Good luck!

The general theme of this book is to present innovative psychometric modeling and methods. In particular, this book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments. In addition, innovative psychometric modeling approaches, such as graphical models, item tree models, network analysis, and cognitive diagnostic models, are included. Chapters 1, 2, 4 and 6 are about psychometric models and methods for learning analytics. The first two chapters focus on advanced cognitive diagnostic models for tracking learning and the improvement of attribute classification accuracy. Chapter 4 demonstrates the use of network analysis for learning analytics. Chapter 6 introduces the conjunctive root causes model for the understanding of prerequisite skills in learning. Chapters 3, 5, 8, 9 are about innovative psychometric techniques to model process data. Specifically, Chapters 3 and 5 illustrate the usage of generalized linear mixed effect models and item tree models to analyze eye-tracking data. Chapter 8 discusses the modeling approach of hint uses and response accuracy in learning environment. Chapter 9 demonstrates the identification of observable outcomes in the game-based assessments. Chapters 7 and 10 introduce innovative latent variable modeling approaches, including the graphical and generalized linear model approach and the dynamic modeling approach. In summary, the book includes theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to model and analyze multiple data sources from digital assessments. When computer-based assessments are emerging and evolving, it is important that researchers can expand and improve the methods for modeling and analyzing new data sources. This book provides a useful resource to researchers who are interested in the development of psychometric methods to solve issues in this digital assessment age.