Data Collection
Data Collection

Author: Patricia Pulliam Phillips

Publisher: John Wiley & Sons

Published: 2016-05-12

Total Pages: 132

ISBN-13: 1119254787

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Data Collection Data Collection is the second of six books in the Measurement and Evaluation Series from Pfeiffer. The proven ROI Methodology--developed by the ROI Institute--provides a practical system for evaluation planning, data collection, data analysis, and reporting. All six books in the series offer the latest tools, most current research, and practical advice for measuring ROI in a variety of settings. Data Collection offers an effective process for collecting data that is essential to the implementation of the ROI Methodology. The authors outline the techniques, processes, and critical issues involved in successful data collection. The book examines the various methods of data collection, including questionnaires, interviews, focus groups, observation, action plans, performance contracts, and monitoring records. Written for evaluators, facilitators, analysts, designers, coordinators, and managers, Data Collection is a valuable guide for collecting data that are adequate in quantity and quality to produce a complete and credible analysis.

Data Collection
Data Collection

Author: Lee Baker

Publisher: Lee Baker

Published:

Total Pages: 47

ISBN-13:

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Prevention is better than cure. That’s as true about data collection as it is about anything else. Data collection might be an incredibly simple (and boring) task, but it’s also very easy to get wrong. Get it right and all the steps that follow, like data cleaning and preparation, analysis, plotting, statistics and machine learning, all fall into place and everything goes like a dream. But get it wrong and you’ve got weeks of pain ahead of you, correcting all the mistakes you made right at the beginning. Having a good data collection plan is the difference between a project that inspires you to go to work with a smile on your face every day and one where you struggle to drag yourself out of bed every morning. Your sanity is on the line here! Building a good data collection plan, believe it or not, is a roadmap to doing your entire study properly. Data Collection is a short guide to getting that plan up and running. It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about data collection, answers the most frequently asked questions and inspires you to take the next steps in your journey. First, I’ll explain why data is so important, and break down the differences between data, information and knowledge. Then we’ll look at why we collect data in the first place. I’ll explain the purpose of building a data collection plan and teach you about the 5 methods of data collection. Then I’ll give you my top tips for practical data collection to give you the best start possible. By the time you’ve read this short book, you’ll be able to create your own data collection plan that enables you to collect a dataset that is useful, accurate and fit-for-purpose – everything you need for a great research project. Data Collection makes no assumptions about your previous experience and is perfect for beginners and those just getting started with collecting data. Discover the world of Data Collection. Get this book, TODAY!

The Behavioral and Social Sciences
The Behavioral and Social Sciences

Author: National Research Council

Publisher: National Academies Press

Published: 1988-02-01

Total Pages: 301

ISBN-13: 0309037492

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This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

Principles of Data Management and Presentation
Principles of Data Management and Presentation

Author: Dr. John P. Hoffmann

Publisher: Univ of California Press

Published: 2017-07-03

Total Pages: 283

ISBN-13: 0520964322

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The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses—introductory statistics and research methods—does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: • how to narrow a research topic to a specific research question • how to access and organize data that are useful for answering a research question • how to use software such as Stata, SPSS, and SAS to manage data • how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience—specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.

Data in Medicine: Collection, Processing and Presentation
Data in Medicine: Collection, Processing and Presentation

Author: Robert S. Reneman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 339

ISBN-13: 9400993099

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Nowadays clinical medicine is to a great extent dependent on techniques and instrumentation. Not infrequently, instrumentation is so complicated that technical specialists are required to perform the measurements and to process the data. Interpretation of the results, however, generally has to be done by physicians. For proper interpretation of data and good com munication with technical specialists, knowledge of, among other things, principle, advantages, limitations and applicability of the used techniques is necessary. Besides, this knowledge is required for critical comparison of systems to measure a certain variable. Critical evaluation as well as com parison of techniques and instruments ought to be an essential component of medical practice. In general, basic techniques and instrumentation are not taught in medi cal schools nor during residencies. Therefore, physicians themselves have to collect practical information about principle, advantages and limitations of techniques and instruments when using them in clinical medicine. This practical information, focussed on the specific techniques used in the various disciplines, is usually difficult to obtain from handbooks and manufacturers' manuals. Hence a new series of books is started on instru mentation and techniques in clinical medicine.

The Cambridge Handbook of Group Interaction Analysis
The Cambridge Handbook of Group Interaction Analysis

Author: Elisabeth Brauner

Publisher: Cambridge University Press

Published: 2018-08-02

Total Pages: 968

ISBN-13: 1108655165

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This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. Part I provides an introduction and historic overview of the field. Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. Part III focuses on development, validation, and concrete application of interaction coding schemes. Part IV presents relevant data analysis methods and statistics. Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups.