The must-have statistics guide for students of health services Statistics for Health Care Management and Administration is a unique and invaluable resource for students of health care administration and public health. The book introduces students to statistics within the context of health care, focusing on the major data and analysis techniques used in the field. All hands-on instruction makes use of Excel, the most common spreadsheet software that is ubiquitous in the workplace. This new third edition has been completely retooled, with new content on proportions, ANOVA, linear regression, chi-squares, and more, Step-by-step instructions in the latest version of Excel and numerous annotated screen shots make examples easy to follow and understand. Familiarity with statistical methods is essential for health services professionals and researchers, who must understand how to acquire, handle, and analyze data. This book not only helps students develop the necessary data analysis skills, but it also boosts familiarity with important software that employers will be looking for. Learn the basics of statistics in the context of Excel Understand how to acquire data and display it for analysis Master various tests including probability, regression, and more Turn test results into usable information with proper analysis Statistics for Health Care Management and Administration gets students off to a great start by introducing statistics in the workplace context from the very beginning.
This book not only helps students develop the necessary data analysis skills, but it also boosts familiarity with important software that employers will be looking for.
A comprehensive guide to help public analysts, managers, and administrators understand how management analysis can improve output, productivity, and bottom line performance.
ExpressExec is a unique business resource of one hundred books. These books present the best current thinking and span the entire range of contemporary business practice.
'[T]here is, as with all the chapters, an excellent set of suggested further reading...' - Management Learning `Postgraduate students should find this a useful book, since it focuses on issues specific to their requirements. The philosophical underpinnings, methodology and practicalities of research are all discussed within the context of postgraduate research' - International Small Business Journal This wide-ranging text comprehensively overviews management research and research methodology. The authors take the reader through all the major stages of the research process and introduce the key methods. After highlighting the different contexts and purposes, strategies and tactics, programmes and processes of management research, the authors provide detailed coverage of the relevant research approaches and methods. They discuss the interrelationship of theoretical and empirical research, and how these apply to practice. The implications of using quantitative and qualitative methods are examined, and practical advice is given on the available analysis techniques and software packages.
′[T]here is, as with all the chapters, an excellent set of suggested further reading...′ - Management Learning `Postgraduate students should find this a useful book, since it focuses on issues specific to their requirements.
Quantitative Methods for the Project Manager is for professional project managers who need to know how to make everyday use of numerical analysis. It combines theory and practices and is designed to be easily applied.
Quantitative Methods for the Project Manager is for professional project managers who need to know how to make everyday use of numerical analysis. It combines theory and practices and is designed to be easily applied.
Written specifically for the Research Methods aspect of an MBA course, Research Methods in Management is the ideal companion for those needing guidance on carrying out a research project. The author offers a succinct guide to the topic which provides MBA and Business Students with the necessary grounding in the area of research without going into too much depth. The text is therefore written with modular courses in mind so that students gain an overall perspective of the important areas that need consideration and can ascertain the key points they need to be aware of when carrying out research. Dissertations and projects form an integral part of many MBA and degree courses and therefore guides such as this are becoming invaluable when tackling this area for the first time. Research Methods in Management approaches the research task in a step by step manner, covering areas such as data collection, observational methods, and data analysis. Guidance is provided on the best way to approach aspects of the research process and to ensure all aspects are adequately covered. As this is an area where many students feel they do not have any experience, a text such as this provides the necessary support in approaching this area of the course. * Written specifically for MBA and Business students for whom Research Methods forms part of their course - is therefore business focused * Succinct and relevant - provides students only with the information they require when carrying out research * Supported by online resources for Students and Lecturers
As this is an area where many students feel they do not have any experience, a text such as this provides the necessary support in approaching this area of the course. * Written specifically for MBA and Business students for whom Research ...
Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making.
