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A user-friendly, hands-on guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative Data: An Introduction for Social Researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. The book guides readers through the steps of data analysis, from organizing raw data to utilizing descriptive statistics and tests of significance, drawing valid conclusions, and writing research reports. The author successfully provides a presentation that is accessible and hands-on rather than heavily theoretical, outlining the key quantitative processes and the use of software to successfully draw valid conclusions from gathered data. In its discussion of methods for organizing data, the book includes suggestions for coding and entry into spreadsheets or databases while also introducing commonly used descriptive statistics and clarifying their roles in data analysis. Next, inferential statistics is explored in-depth with explanations of and instructions for performing chi-square tests, t-tests, analyses of variance, correlation and regression analyses, and a number of advanced statistical procedures. Each chapter contains explanations of when to use the tests described, relevant formulas, and sample computations. The book concludes with guidance on extracting meaningful conclusions from statistical tests and writing research reports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS® sections provide fundamental instruction for using SPSS® to obtain the results presented. Where necessary, the author provides basic theoretical explanations for distributions and background information regarding formulas. Each chapter concludes with practice problems, and a related website features derivations of the book's formulas along with additional resources for performing the discussed processes. Analyzing Quantitative Data is an excellent book for social sciences courses on data analysis and research methods at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work.

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.

Promoting the Planck Club presents rich mini histories of selected scientists whose work led to radical and transformational discoveries, their background, the prevailing scientific environment, and the conditions that allowed for their success. The text provides a broad audience of students, scientists, engineers, economists, and policymakers with ways to ensure that we take all steps to protect the flow of unpredictable scientific discoveries that are necessary for sustained levels of growth as well as ways to ensure that all steps are taken to protect the flow of unpredictable scientific discoveries.

Drawing together the new techniques available to the market researcher into a single reference, The Handbook of Online and Social Media Research explores how these innovations are being used by the leaders in the field. This groundbreaking reference examines why traditional research is broken, both in theory and practice, and includes chapters on online research communities, community panels, blog mining, social networks, mobile research, e-ethnography, predictive markets, and DIY research. «This handbook fills a significant learning gap for the market research profession and Ray Poynter has once again proven that he is a guiding light. The practical and pragmatic advice contained within these pages will be relevant to new students of research, young researchers and experienced researchers that want to understand the basics of online and social media research. Ray’s views on 'how to be better with people' and ‘how to maximise response rates’ are vital clues that are likely to shape the future of market and social research.» —Peter Harris, National President, Australian Market and Social Research Society (AMSRS) «It's hard to imagine anyone better suited to covering the rapidly changing world of online research than Ray Poynter. In this book he shows us why. Whether you are new to online or a veteran interested in broadening your understanding of the full range of techniques—quant and qual—this book is for you.» —Reg Baker, President and Chief Operating Officer, Market Strategies International «Finally, a comprehensive handbook for practitioners, clients, suppliers and students that includes best practices, clear explanations, advice and cautionary warnings. This should be the research benchmark for online research for some time. Poynter proves he is the online market research guru.» —Cam Davis, Ph.D., former Dean and current instructor of the online market research course for the Canadian Marketing Research and Intelligence Association «Ray Poynter's comprehensive, authoritative, easy to read, and knowledgeable handbook has come to our rescue … it is a must read for anyone who needs to engage with customers or stakeholders in a creative, immediate and flexible way that makes maximum use of all the exciting, new technology now open to us. Market researchers need to know this stuff now. I can guarantee that anyone who buys the book will find it a compelling read: they will be constantly turning to the next page in order to find yet another nugget of insight from Ray’s tour de force.» —Dr David Smith, Director, DVL Smith Ltd; Professor, University of Hertfordshire, Business School

As individuals and companies realise the importance of their inventions, issues surrounding patent laws and practices are taking centre stage around the world. Patent Strategy introduces researchers to patent applications and patent portfolios. With minimum use of ‘legal jargon’ it provides the technical professional with the assistance and advice they require to understand the legal complexities that they may encounter before and during a patent application. It also discusses the responsibilities of the researcher after patent applications have been filed and the role the researcher can play in the maintenance of a global patent estate. This updated edition of the best selling book has been expanded to keep pace with modern day movements and addresses the global issue surrounding intellectual property. Including new information on areas such as software and biotechnology it shows the techniques that can be used by individuals and academic inventors to protect their work and is the ideal reference source. Bridges the gap between the legal system and scientific research and avoids legal jargon Details the reasons behind patents, their importance and relevance to all researchers and the strategy needed for filing for a patent Focuses on the strategy and reasons rather than just being a textbook of patent law Presents an overview of tools a researcher can use while working with a patent attorney or agent Adopts a readable style that explains the basics right up to developing a strategy Essential reading for all those who wish to keep pace and protect their work Reviews from previous edition: «…I can recommend it for technology managing types. Does a nice job of explaining many aspects of the patent system and patent strategies with a minimum of jargon and case citations…» —Internet Patent News «…provides an enlightened approach to a complex subject. It is relatively easy to read and follow…» – Polymers Paint and Colour Journal «This handy book provides the researcher with useful guidance on how to maximize the benefit of their inventiveness to themselves and their organization». —Journal of Chemical Technology and Biotechnology