Written for the non-mathematician and free of unexplained technical jargon, Applied Statistics: Business and Management Research provides a user-friendly introduction to the field of applied statistics and data analysis. Featuring step-by-step explanations of how to carry out successful quantitative research, and supported by examples from IBM (R) SPSS (R) Statistics, this textbook is an essential resource for students and researchers of business and management. A range of online resources for both students and lecturers, including a teaching guide, PowerPoint slides and datasets, are available via the companion website. Andrew R. Timming is Professor of Human Resource Management and Deputy Dean Research & Innovation in the School of Management at RMIT University, Australia.
Written for the non-mathematician and free of unexplained technical jargon, Applied Statistics: Business and Management Research provides a user-friendly introduction to the field of applied statistics and data analysis. Featuring step-by-step explanations of how to carry out successful quantitative research, and supported by examples from IBM (R) SPSS (R) Statistics, this textbook is an essential resource for students and researchers of business and management. A range of online resources for both students and lecturers, including a teaching guide, PowerPoint slides and datasets, are available via the companion website. Andrew R. Timming is Professor of Human Resource Management and Deputy Dean Research & Innovation in the School of Management at RMIT University, Australia.
This unique and popular text, now in a sixth edition, clearly and succinctly guides Accounting students and researchers in their understanding and conducting of research from conception to completion, across a wide range of research methods, including quantitative, qualitative and mixed-methods research. This latest edition provides new and extended coverage, including the role and impact of social media, big data analytics, data mining, and emerging and disruptive technologies, such as Blockchain. There is also a renewed focus on the role of ethics in Accounting research. This text remains essential reading for those completing a research methods course, project/dissertation or other form of individual study in Accounting. Malcolm Smith was Foundation Professor of Accounting at the University of South Australia.
Written specifically for information systems (IS) and computing students and providing everything they need to know about executing a research project, this best-selling textbook introduces key quantitative and qualitative research methods, makes sense of underlying philosophies, and helps readers navigate and assess existing academic papers. Packed with examples from the IS and computing disciplines, definitions, evaluation guides and further reading suggestions, this fully updated second edition of Research Information Systems and Computing supports students of all levels in bridging the gap between theory and practice.
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business's customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field.
This accessible guide takes you through the process of designing, conducting and writing up a research project using case study methods. In his characteristic warm and friendly style, Gary Thomas covers each step at a confidence-building pace, helping you to get to grips with the theory and practice of doing a case study. Focusing on vital issues like validity, reliability and quality in research, the author helps you ensure your research is rigorous and methodologically sound. This third edition: * Offers an expanded discussion of key ethical issues in case study research * Provides up to date information about using social media in research * Presents a new navigation tool to help you plan your case study project * Enables you to develop the skills you need to become a critical and reflexive researcher Covering international examples of case study in practice and accompanied by downloadable checklists and templates, this book is the perfect companion to help you successfully complete a case study.
This second edition of Research Projects for Business and Management Students provides students undertaking extended research with a foundation upon which to build their practice. The author sets out each stage of a research project systematically to allow you to follow along and build an understanding of the processes involved in carrying out in depth pieces of research, as well as the functions of commonly used research methods. Conversation boxes throughout will also help situate your learning by providing examples of commonly asked questions, challenges that may occur while you carry out your research and guidance on how to answer them. Professor Siah Hwee Ang is Professor of International Business and Strategy, inaugural Chair in Business in Asia and Director of the NZ's Southeast Asia Centre of Asia-Pacific Excellence at Victoria University of Wellington, New Zealand.
This second edition of Research Projects for Business and Management Students provides students undertaking extended research with a foundation upon which to build their practice. The author sets out each stage of a research project systematically to allow you to follow along and build an understanding of the processes involved in carrying out in depth pieces of research, as well as the functions of commonly used research methods. Conversation boxes throughout will also help situate your learning by providing examples of commonly asked questions, challenges that may occur while you carry out your research and guidance on how to answer them. Professor Siah Hwee Ang is Professor of International Business and Strategy, inaugural Chair in Business in Asia and Director of the NZ's Southeast Asia Centre of Asia-Pacific Excellence at Victoria University of Wellington, New Zealand.
This application-oriented text focuses on only what the reader needs to know to research and answer business and social science questions with Python. The authors walk the reader through each step of the python installation and analysis process, including exercises throughout so they can immediately try out the functions they have learnt.
