Showing results for "daniel b wright"
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2009
EN
′This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look′ - Professor Jon May, University of Plymouth′This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of ′difficult′ concepts ar...
2024
EN
Accessible
With an emphasis on the practical, this book explains how people react to different sorts of crises, whether they be economic, environmental, health or war, and how we can better support the public, our families, and ourselves in future crises.The book interrogates how public crises are individualised, thought about, emotionally felt, and also mistrusted, all with a view to helping us understand some of the most difficult times we endure.Ideal for applied psychology student...
2020
EN
The world of Research Methods is always changing and becoming ever more complex. Now completely up to date with the latest innovations, this book engages with recent controversies to give you the best start with your research.In each chapter you will find:· Key concept boxes to help you stay on track and focus on what’s most important· Real life examples which make the theory easier to understand· Exercises to check you’ve understood the chapter· Que...
Modern Regression Techniques Using R
A Practical Guide
2009
EN
Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that ...
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- Current Issues in Memory
2009
EN
Research on applied memory is one of the most active, interesting and vibrant areas in experimental psychology today. This book provides descriptions of cutting-edge research and applies them to three key areas of contemporary investigation: education, the law and neuroscience.In the area of education, findings from the study of memory are described which could have a major impact on testing practice, revision techniques for examinations and teaching basic literacy and numeracy. In...
Between Being and Time
From Ontology to Eschatology
2019
EN
This book explores the relationship between being and time —between ontology and history— in the context of both Christian theology and philosophical inquiry. Each chapter tests the limits of this multifaceted thematic vis-à-vis a wide variety of sources: from patristics (Maximus the Confessor, Gregory of Nyssa) to philosophy (Kant, Kierkegaard, Heidegger) to modern theology (Berdyaev, Ratzinger, Fagerberg, Zizioulas, Yannaras, Loudovikos); from incarnation to eschatology; and from liturgy...
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Statistics in a Nutshell
A Desktop Quick Reference
2012
EN
Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perfo...
2013
EN
A clear and accessible statistics text— now fully updated and revisedNow with a new chapter showing students how to apply the right test in the right way to yield the most accurate and true result, Explaining Psychological Statistics, Fourth Edition offers students an engaging introduction to the field. Presenting the material in a logically flowing, non-intimidating way, this comprehensive text covers both introductory and advanced topics in statistics, f...
Introductory Statistics
A Conceptual Approach Using R
2013
EN
Accessible
This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. ...
2013
EN
Accessible
This new book provides a theoretical and practical guide to analysis of variance (ANOVA) for those who have not had a formal course in this technique, but need to use this analysis as part of their research.From their experience in teaching this material and applying it to research problems, the authors have created a summary of the statistical theory underlying ANOVA, together with important issues, guidance, practical methods, references, and hints about using statistical softwar...
Categorical and Nonparametric Data Analysis
Choosing the Best Statistical Technique
2014
EN
Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underl...
Applying Regression and Correlation
A Guide for Students and Researchers
2000
EN
This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysi...











