All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.
This short book is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed, with the necessary concepts introduced where needed, and illustrated graphically. In contrast to traditional treatments a combination of spreadsheet and calculus-based approaches is used. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. The emphasisthroughout is on practical strategies to be adopted in the laboratory. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computeranalysis.
This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyze data and estimate errors. The necessary formulas for performing calculations are given, and the ideas behind them are explained, although this is not a formal text on statistics. Specific examples are worked through step by step in the text. Emphasis is placed on the need to think about whether a calculated error is sensible. Students should take this book with them to the laboratory, and the format is intended to make this convenient. The book will provide the necessary understanding of what is involved, should inspire confidence in the method of estimating errors, and enable numerical calculations without too much effort.
Collaboration Among Professionals, Students, Families, and Communities provides a foundation for understanding concepts of collaborative learning along with strategies for the application of collaborative skills in teaching. The book moves logically from issues of macro-collaboration (district and school) to micro-collaboration (individual student focus and co-teaching) in K-12 environments before concluding with strategies for family and community collaboration. Significant emphasis is placed on knowledge, skills, and teaching models for pre-service and in-service teachers in general education, special education, and of diverse students including English Learners. Each chapter includes meaningful pedagogical features such as: Learning objectives A case study illustrating the implementation of information presented A case study challenging the reader to apply the information learned in the chapter Study questions for readers in Comprehension Checks at key points in the chapter Highlights of major points in a chapter summary for aid in studying content University, school, and community-based application activities A companion website features additional resources, including PowerPoint presentations, practice tests, suggested video and Internet resources, and advanced application activities.
In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it. A Student's Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports. Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.
"Its range is far broader than the majority of methods texts, being concerned with both human and physical geography... Given the seriousness with which Key Methods in Geography approaches all aspects of research, it will continue to find wide favour among undergraduate geographers." - Times Higher Education Textbook Guide "All geographers, whatever their interest, need to do research. This book will help them get started in the best possible way, with thoughtful advice on everything from project design, through choice of methods, to data analysis and presentation. The editors have assembled an impressive array of authors, all experts in their chosen field." - Tim Burt, University of Durham "Excellent book. Valuable teaching aid. Well written and covers a wide range of methods thoroughly." - Sue Rodway-Dyer, Exeter University "This is an excellent book and deals with a number of topics (which I teach) outside of the tutorial module where it is a recommended text for geographers. A very useful textbook throughout a 3 year Geography programme." - Ian Harris, Bangor University Key Methods in Geography is an introduction to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It is unique in the reference literature for providing an overview of qualitative and quantitative methods for human and physical geography. An accessible primer, it will be used by students as a reference throughout their degree, on all issues from research design to presentation. This second edition has been fully revised and updated and includes new chapters on internet mediated research, diaries as a research method, making observations and measurements in the field, and the analysis of natural systems. Organized into four sections: Getting Started in Geographical Research; Generating and Working with Data in Human Geography; Generating and Working with Data in Physical Geography; Representing and Interpreting Geographical Data; each chapter comprises: A short definition A summary of the principal arguments A substantive 5,000-word discussion Use of real-life examples Annotated notes for further reading. The teaching of research methods is integral to all geography courses: Key Methods in Geography, 2nd Edition explains all of the key methods with which geography undergraduates must be conversant.
A Resource for Designing and Implementing Intervention Programsfor At-Risk Learners This authoritative resource provides step-by-step procedures forplanning, selecting, and tailoring interventions for at-risklearners with a unique focus on how to individualize interventionsusing actual case examples. In addition, this volume offersguidelines for gathering and interpreting data in a manner thatassists in identifying targets for intervention and rich discussionand information relating to specific academic, cognitive, andbehavioral manifestations of students with learning difficulties inreading, math, writing, and oral language. Practitioners will alsorecognize and learn how to intervene with students from underservedand mis-served populations who are at risk for learning failureincluding English-language learners and students from impoverishedenvironments. Each chapter describes how specific difficulties interfere withclassroom tasks and explain how to select, modify, or otherwisetailor an intervention based on that information. As with allvolumes in the Essentials of Psychological Assessmentseries, this volume includes callout boxes highlighting keyconcepts, extensive illustrative material, and test questions. Thecompanion CD-ROM provides additional worksheets, case studies, andhandouts.
The new edition of this award winning text helps address the increased pressure that the NCLEX and other certification exams are placing on nursing students and faculty. The Nurse Educator’s Guide to Assessing Learning Outcomes, 2nd Edition guides classroom educators through the process of developing effective classroom exams and individual test items.
Financial Analysis and Control: Financial Awareness for Students and Managers discusses the analytical aspects of accounting. The book is comprised of 19 chapters that discuss the various concerns in analyzing accounting variables. The coverage of the text includes classwork examples and course-work case studies for topics, such as ration analysis, cash forecasting, and break-even analysis. The book also discusses pricing related topics including pricing policies, transfer pricing, and marginal cost approach to pricing. The text will be of great use to students and practitioners of accounting and financial managers. Entrepreneurs will also benefit from the book.