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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 Methods explains 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 Methods will guide you through your project towards ahappy ending.
A practical guide to using modern software effectively in quantitative research in the social and natural sciences. 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.
Focusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz’s A Survivor’s Guide to R provides a gentle yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather than abstract concepts. Gaubatz’s easy-to-read approach helps students with little or no background in statistics or programming to develop real-world R skills through straightforward coverage of R objects and functions. Focusing on real-world data, the challenges of dataset construction, and the use of R’s powerful graphing tools, the guide is written in an accessible, sympathetic, even humorous style that ensures students acquire functional R skills they can use in their own projects and carry into their work beyond the classroom.
With Statistics: A Gentle Introduction, Third Edition, an introductory stats class needn't be difficult or dull! Frederick L. Coolidge specifically designed his text to curtail students' anxieties and minimize unnecessary formulas, while providing a comprehensive review of basic statistical designs and analyses. A wealth of additional real-world examples have been included to give a sense of how the science of statistics works, solves problems, and helps us make informed choices about the world we live in. The author minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes a glossary of key terms, symbols, and definitions at the end of each chapter. Every chapter also includes a short story about historical and contemporary statisticians who figured prominently in the evolution of the discipline of statistics. New to the Third Edition is the thorough incorporation of SPSS throughout, more visual material and figures, and an enhanced treatment of effect sizes, and more detailed explanation of statistical concepts.
An introduction to statistics covers the concepts measurement theory, descriptive statistics, knowlege reprensentation, probability theory, correlations, and parametric statistics.
This book will be vital reading for anyone doing research, since using the web to find high quality information is a key research skill. It introduces beginners and experts alike to the most effective techniques for searching the web, assessing and organising information and using it in a range of scenarios from undergraduate essays and projects to PhD research. Nigel Ford shows how using the web poses opportunities and challenges that impact on student research at every level, and he explains the skills needed to navigate the web and use it effectively to produce high quality work. Ford connects online skills to the research process. He helps readers to understand research questions and how to answer them by constructing arguments and presenting evidence in ways that will enhance their impact and credibility. The book includes clear and helpful coverage of beginner and advanced search tools and techniques, as well as the processes of: @!critically evaluating online information @!creating and presenting evidence-based arguments @!organizing, storing and sharing information @!referencing, copyright and plagiarism. As well as providing all the basic techniques students need to find high quality information on the web, this book will help readers use this information effectively in their own research. Nigel Ford is Professor in the University of Sheffield′s Information School.
If you are studying at undergraduate or masters level it's likely that you will have to write a dissertation, critical essay or project report before you can graduate. Unfortunately, many good pieces of student research and inquiry are devalued - and sometimes even fail - because they are badly planned, structured or written. Make all that hard work count! This new guide looks directly at the processes, techniques and objectives of writing the dissertation itself. It covers longer term aspects - such as planning, scheduling, structuring - and more immediate ones - such as style, detail and managing the length. - Learn how to understand and decode the academic language of research questions, learning outcomes, objectives and assessment criteria, and translate them into the right form of words. - Discover how to maintain that essential focus on your objectives and research question or hypothesis, and their connection to your discussion and eventual conclusions. - Develop a schedule, identifying the tasks and milestones that will keep you on track, and update the plan as you go. - Find a style and structure that will help shape your writing to satisfy the examiners. - Manage the overall length and chapter lengths, and learn how to cut excess content and avoid repetition. - Master the technicalities of dissertation writing, such as methodologies, literature reviews, note systems, referencing...- Learn to how to transform an adequate dissertation into a good one by attending to fluency and detail - grammar, accuracy, consistency, punctuation - and the controlled use of aids such as spellcheckers and style checkers. - Avoid plagiarism and other evils. How can you avoid falling into cheating, either by accident or by carelessness under pressure? With examples and self-checking exercises to help you to stay on the right track, this essential guide will also serve as a valuable aid to all types of academic writing.
Fully updated throughout, this fifth edition is essential reading for master's-level CIPD and non-CIPD students alike. Balancing theoretical frameworks and practical guidance, Research Methods in Human Resource Management explains everything from defining a hypothesis and planning the research process through to reviewing literature and documents, collecting and analysing both qualitative and quantitative data. There is also guidance on how to write the research project with best practice sample literature reviews and write-ups included. Fully updated throughout, this edition now includes expert discussion of how secondary data can be used in a research project as well as new material on ethics, sustainability and data collection in a hybrid world. This book also includes international examples and discussion of collecting data from different geographies. Mapped to the CIPD Advanced module, Business Research in People Practice, this is an invaluable textbook for all postgraduate HR students needing to complete a dissertation or research project. 'Review and Reflect' sections at the end of each chapter, case illustrations and activities help to consolidate learning and online resources include an Instructor's manual, PowerPoint slides and annotated weblinks.
The essential guide to research in educational leadership and management, substantially revised and updated.