Tired of a trial-and-error approach to collecting and managing data? Data Collection and Management offers helpful information on managing research projects. By stressing how to use good standards for data collecting and processing, the authors cover such important how-tos as planning research activities; making budgetary decisions and keeping the budget under control; hiring, training, and supervising field interviewing staff; establishing whether interviewers are ready to start interviewing; and ensuring high participant acquisition and retention rates. The book also covers using computerized information systems for tracking data collected and the data management process. Proposal writers, principal investigators, graduate research students, and project coordinators of research requiring large-scale field data collection will find the book to be an indispensable tool.

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data. The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.

Doing Management Research, a major new textbook, provides answers to questions and problems which researchers invariably encounter when embarking on management research, be it quantitative or qualitative. This book will carefully guide the reader through the research process from beginning to end. An excellent tool for academics and students, it enables the reader to acquire and build upon empirical evidence, and to decide what tools to use to understand and describe what is being observed, and then, which methods of analysis to adopt. There is an entire section dedicated to writing up and communicating the research findings. Written in an accessible and easy-to-use style, this book can be read from cover to cover or dipped

'The book is very simplistically written and, I consider that undergraduate students would find maximum chapters easy to comprehend and apply. I strongly recommend Qualitative Methodologies and Data Collection Methods: Toward Increased Rigour in Management Research for general and qualitative methodology courses and for practitioners and researchers searching for direction in planning or gaining a superior comprehension of qualitative research. It is an excellent book that gives brief and accommodating portrayals of major ascribes of qualitative research and priceless examples for planning and conducting research studies and various data collection methods in qualitative exploration.'Technological Forecasting & Social Change Globalisation opens new frontiers of research that require advanced research methods. While quantitative methods are ideal in some situations, qualitative methods are more appropriate for responding to 'how' questions in new contexts. They aim to understand and provide a holistic picture via interaction — a unique advantage over quantitative methods. This textbook for graduate students introduces qualitative research and covers major qualitative methodologies and data collection methods.The choice of methodologies in this book is based on their actual applicability in management research. This approach provides a hands-on emphasis while maintaining both scientific rigour and rooting, and a high practicality level with respect to problem analysis, the collection of data, and the way this data should be analysed.Students and researchers will benefit from features including explanations of the advantages and disadvantages of methodological choices, and elaborated examples of good articles. The reader will acquire an overview of current methodologies, which will facilitate the choice process with respect to research approaches, and is also encouraged to bring personal research skills to a higher level.

Provides a very practical and step-by-step guide to collecting and managing qualitative data,

Data collection in the field, whether by interviewing or other methods, can be carried out in a structured, systematic and scientific way. This volume compels field researchers to take very seriously not only what they hear, but what they ask. Ethnographers have often discovered too late that the value of their interview information is discounted as a consequence of poor sampling (of both questions and informants) and poor elicitation techniques. The authors focus on the importance of establishing the right questions to ask through the use of free listing techniques; then they describe in practical terms the administration of an impressive array of alternative kinds of informant task. They conclude with a discussion of reliability and validity of various methods which can be used to generate more systematic, culturally meaningful data.

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.