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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.
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.
An introduction to statistics covers the concepts measurement theory, descriptive statistics, knowlege reprensentation, probability theory, correlations, and parametric statistics.
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.
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.
Doing your Research Project is the market leading book for students across the social sciences conducting small scale research projects.
*Interested in purchasing Doing Your Research Project as a SmartBook? Visit https://connect2.mheducation.com/join/?c=bellwaters7e to register for access today* Step-by-step advice on completing an outstanding research project. This is the market-leading book for anyone conducting a research project, whether for the first time or as an experienced researcher honing their skills. Clear, concise and readable, this bestselling resource provides a practical, step-by-step guide from initial concept to completion of your research report. Thoroughly updated but retaining its well-loved style, this seventh edition provides: • A brand new first chapter outlining what it means to carry out research, the responsibilities of the researcher, the research journey, and the 'intentional' and 'unintentional' roles of a researcher. • An extensive update to chapter nine on using social media in research, to include ethical considerations and how the researcher can use and reference information collected via these platforms and create collaborative connections. • An online review of the latest tools for collecting and analysing both quantitative and qualitative data gathered from social media sites, such as Survey Monkey and Google Forms. • Further coverage on how to protect research participants, including advice from the NHS on how to conduct research in health-based settings. • More detailed coverage of how to conduct effective online literature searches, not only using Google but also other research-based search engines such as PubMed and professionally-focussed sites. • To support your learning, questions at the end of each chapter, which prompt you to reflect on your research journey. This practical, no-nonsense guide is vital reading for all those embarking on undergraduate or postgraduate study, irrespective of discipline, and for professionals in such fields as social science, education and health. 'The latest edition provides extensive coverage of all that a research student might need to know. The expanse of the topics covered enables this book to be indispensable to a great range of students, not only at different levels of study but also in a variety of disciplines. Bell and Waters present an honest and practical look at a daunting academic undertaking and provide the student with a resource that is currently has no parallel. This new edition brings the text up to date with a look at some of the more creative approaches the research project might take and challenges students to think before making research decisions.' Dr Susan Schutz PhD, MSc, RNT, RGN, Department of Nursing, Faculty of Health and Life Sciences, Oxford Brookes University, UK