The A Z Of Error Free Research
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| Author | : Phillip I. Good |
| Publisher | : CRC Press |
| Total Pages | : 273 |
| Release | : 2012-08-01 |
| Genre | : Mathematics |
| ISBN | : 1439897379 |
A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R Code The A–Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation, and how to design an experiment, determine optimal sample size, and collect useable data. It also helps you choose the best statistical procedures for your application and takes you step by step through model development and reporting results for publication. Transition from Student to Researcher Helping you become a confident researcher, the book begins with an overview of when—and when not—to use statistics. It guides you through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. The author then covers techniques for developing models that provide a basis for future research. He also discusses reporting techniques to ensure your research efforts get the proper credit. The book concludes with case-control and cohort studies.
| Author | : R. T. Gregory |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2011-09-26 |
| Genre | : Mathematics |
| ISBN | : 9781461297543 |
This book is written as an introduction to the theory of error-free computation. In addition, we include several chapters that illustrate how error-free com putation can be applied in practice. The book is intended for seniors and first year graduate students in fields of study involving scientific computation using digital computers, and for researchers (in those same fields) who wish to obtain an introduction to the subject. We are motivated by the fact that there are large classes of ill-conditioned problems, and there are numerically unstable algorithms, and in either or both of these situations we cannot tolerate rounding errors during the numerical computations involved in obtaining solutions to the problems. Thus, it is important to study finite number systems for digital computers which have the property that computation can be performed free of rounding errors. In Chapter I we discuss single-modulus and multiple-modulus residue number systems and arithmetic in these systems, where the operands may be either integers or rational numbers. In Chapter II we discuss finite-segment p-adic number systems and their relationship to the p-adic numbers of Hensel [1908]. Each rational number in a certain finite set is assigned a unique Hensel code and arithmetic operations using Hensel codes as operands is mathe matically equivalent to those same arithmetic operations using the cor responding rational numbers as operands. Finite-segment p-adic arithmetic shares with residue arithmetic the property that it is free of rounding errors.
| Author | : Robert J. Sternberg |
| Publisher | : SAGE Publications |
| Total Pages | : 246 |
| Release | : 2019-03-01 |
| Genre | : Psychology |
| ISBN | : 1506398839 |
My Biggest Research Mistake helps students and professionals in the field of psychological science learn from the diverse mistakes of successful psychological scientists. Through 57 personal stories drawn from the experiences of fellows in the Association for Psychological Science (APS), editor Robert J. Sternberg presents the mistakes of experts in the field as opportunities for learning, allowing students to avoid making the same mistakes in their own work.
| Author | : Madhu Viswanathan |
| Publisher | : SAGE |
| Total Pages | : 460 |
| Release | : 2005-02-10 |
| Genre | : Psychology |
| ISBN | : 9781412906425 |
"Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most important, the book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research."--BOOK JACKET.
| Author | : Paul J. Lavrakas |
| Publisher | : SAGE Publications |
| Total Pages | : 1073 |
| Release | : 2008-09-12 |
| Genre | : Social Science |
| ISBN | : 150631788X |
To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.
| Author | : Neil J. Salkind |
| Publisher | : SAGE |
| Total Pages | : 1779 |
| Release | : 2010-06-22 |
| Genre | : Philosophy |
| ISBN | : 1412961270 |
"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
| Author | : |
| Publisher | : |
| Total Pages | : 440 |
| Release | : 1992 |
| Genre | : Measurement |
| ISBN | : |
| Author | : Floyd J. Fowler, Jr. |
| Publisher | : SAGE |
| Total Pages | : 160 |
| Release | : 1990 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9780803930933 |
Accuracy, reliability, verifiable and error-free results - these are the goals that anyone involved in survey interviewing desires. A practical guide to producing standardized - and reliable - interviews, this volume represents a blending of social science theories of interviewing dynamics, the authors' own extensive research on interview-related error and a compilation of research evidence from other prominent methodologists. How to avoid errors, sampling design issues, question construction methods, supervision techniques, training methods and the organization of data collection staffs are all thoroughly examined. In addition, prescriptions for improving the quality of survey data results are clear and concise. Both students learning survey research methods for the first time and experienced, active researchers will find this volume indispensable.
| Author | : John E Hunter |
| Publisher | : SAGE |
| Total Pages | : 620 |
| Release | : 2004-04-07 |
| Genre | : Business & Economics |
| ISBN | : 9781412904797 |
Covering the most important developments in meta-analysis from 1990 to 2004, this text presents new patterns in research findings as well as updated information on existing topics.
| Author | : David E. McNabb |
| Publisher | : SAGE Publications |
| Total Pages | : 272 |
| Release | : 2013-07-30 |
| Genre | : Social Science |
| ISBN | : 1483323757 |
A welcome and much-needed addition to the literature on survey data quality in social research, McNabb’s book examines the most common sources of nonsampling error: frame error; measurement error; response error, nonresponse error, and interviewer error. Offering the only comprehensive and non-technical treatment available, the book’s focus on controlling error shows readers how to eliminate the opportunity for error to occur, and features revealing examples of past and current efforts to control the incidence and effects of nonsampling error. Most importantly, it gives readers the tools they need to understand, identify, address, and prevent the most prevalent and difficult-to-control types of survey errors.
