Many students are unaware of how to get the most out of their research, whether in career terms or in terms of asking good research questions. This book addresses this issue, as well as dealing with how to move from the big picture to a specific research question.
IF YOU ARE ABOUT TO DO A RESEARCH PROJECT, THEN THIS IS THE IDEAL GUIDE FOR YOU. A Gentle Guide to Research Methodsexplains what research is, andguides you through choosing and using the method best suited to yourneeds, with detailed examples from a wide range of disciplines. It alsogives you practical nuts and bolts advice about how to avoid classicproblems and how to get the most out of your project. Written in a down-to-earth and highly accessible style, this unique bookprovides an overview of the big picture of research and of how this linksto practical details. It covers the whole process of conducting research,including: Choosing a research topic and research design Data collection methods Data analysis and statistics Writing up The authors also provide invaluable advice about planning your researchso that it can help you with your career plans and life aspirations. Drawing on numerous examples from student projects,A Gentle Guideto Research Methodswill guide you through your project towards ahappy ending.
This book offers a practical guide to the computational methods at the heart of most modern quantitative research. It will be essential reading for research assistants needing hands-on experience; students entering PhD programs in business, economics, and other social or natural sciences; and those seeking quantitative jobs in industry. No background in computer science is assumed; a learner need only have a computer with access to the Internet. Using the example as its principal pedagogical device, the book offers tried-and-true prototypes that illustrate many important computational tasks required in quantitative research. The best way to use the book is to read it at the computer keyboard and learn by doing. The book begins by introducing basic skills: how to use the operating system, how to organize data, and how to complete simple programming tasks. For its demonstrations, the book uses a UNIX-based operating system and a set of free software tools: the scripting language Python for programming tasks; the database management system SQLite; and the freely available R for statistical computing and graphics. The book goes on to describe particular tasks: analyzing data, implementing commonly used numerical and simulation methods, and creating extensions to Python to reduce cycle time. Finally, the book describes the use of LaTeX, a document markup language and preparation system.
Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and cases studies (Volume 2).The proposed book follows the approach of ?programmed learning? whereby material is presented in short sections called ?frames?. Each frame consists of a very small amount of information to be learned, a multiple choice quiz, and answers to the quiz. The reader can proceed to the next frame only after verifying the correct answers to the current frame.
This classic guide continues to be the leading Research Methods text that specifically deals with Educational Leadership and Management. The collection boasts an array of high-profile international expert contributors, covering a wide range of specialisms, emphasising the importance of the critically engaged practitioner. Accessible and user-friendly, this edition has been fully revised and updated to take full account of online research. It features new authors, more case studies and examples, and brand new chapters on: - research Design - grounded research - ethnography - discourse analysis - narrative / Life history - student voice Whether you are postgraduate, an academic, or a practitioner researcher, if you are investigating Research Methods, Leadership & Management or Educational Research, this is the book you will need.
Packed with illustrations and practical examples, Guide to Methodology in Ergonomics: Designing for Human Use, Second Edition provides a concise introduction to ergonomics methods in a straightforward manner that helps you conduct an ergonomics analysis of a product in development. It details the execution of 12 ergonomics methods that can be applied to the design of any type of product or interface. The authors stress the role of ergonomics in reducing device interaction time and user error while improving user satisfaction and device usability. See What’s in the New Edition: Four case studies Addition of another co-author Examples that reflect current technology Information on Critical Path Analysis (CPA) The authors highlight where ergonomics methods fit in the design process and how to select a method appropriate for your purpose. They describe each method, supplying an overview, instructions on how to carry out an analysis, a mini bibliography, pros and cons, one or more examples, and a flow chart. They then rate each method for reliability/validity, resources, usability, and efficacy. The book then examines data from studies on training, reliability, and validity, and presents an equation that enables you to calculate approximately the financial benefits of using each method. Based on research and expertise, the book gives you the freedom to be adventurous when choosing methods and the foundation to choose the method that fits the task at hand. Written by experts, it also helps you hone your skills and put the craft of ergonomics into practice.
Providing the basic collection of statistical procedures used by social scientists, A Gentle Introduction to Stata presents the fundamental tools to learn Stata. The book begins with showing how to enter and manage data as well as perform basic descriptive statistics and graphical analysis. It then examines standard statistical procedures from a t test, nonparametric tests, measures of association, multiple regression, and logical regression. The book ends with guidelines for future work and advanced topics. This learning source is an excellent introduction for those with little statistical software experience while also a useful reference for more knowledgeable statisticians by offering a detailed index of commands.