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Get Your Data From Experiments
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Book Synopsis Get Your Data From Experiments by : Helen Coleman
Download or read book Get Your Data From Experiments written by Helen Coleman and published by SAGE. This book was released on 2020-11-25 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering guidance on doing experiments, this Little Quick Fix helps you select the most appropriate experiment for your research, collect and record data, minimise error, and ensure your experiment is ethical and reproducible.
Book Synopsis The Power of Experiments by : Michael Luca
Download or read book The Power of Experiments written by Michael Luca and published by MIT Press. This book was released on 2021-03-02 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
Book Synopsis Designing with Data by : Rochelle King
Download or read book Designing with Data written by Rochelle King and published by "O'Reilly Media, Inc.". This book was released on 2017-03-29 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move
Download or read book Data Literacy written by Neil Smalheiser and published by Academic Press. This book was released on 2017-09-05 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented. This book is a valuable source for biomedical and health sciences graduate students andresearchers, in general, who are interested in handling data to make their research reproducibleand more efficient. Presents the content in an informal tone and with many examples taken from the daily routine at laboratories Can be used for self-studying or as an optional book for more technical courses Brings an interdisciplinary approach which may be applied across different areas of sciences
Book Synopsis Practical Data Analysis for Designed Experiments by : Brian S. Yandell
Download or read book Practical Data Analysis for Designed Experiments written by Brian S. Yandell and published by Routledge. This book was released on 2017-11-22 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are based on real experiments and real data.
Book Synopsis Designing Experiments and Analyzing Data by : Scott E. Maxwell
Download or read book Designing Experiments and Analyzing Data written by Scott E. Maxwell and published by Routledge. This book was released on 2000 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs. Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics omitted from other books. Several learning tools further strengthen the reader's understanding: *flowcharts assist in choosing the most appropriate technique; *an equation cross-referencing system aids in locating the initial, detailed definition and numerous summary equation tables assist readers in understanding differences between different methods for analyzing their data; *examples based on actual research in a variety of behavioral sciences help students see the applications of the material; *numerous exercises help develop a deeper understanding of the subject. Detailed solutions are provided for some of the exercises and *realistic data sets allow the reader to see an analysis of data from each design in its entirety. Updated throughout, the second edition features: *significantly increased attention to measures of effects, including confidence intervals, strength of association, and effect size estimation for complex and simple designs; *an increased use of statistical packages and the graphical presentation of data; *new chapters (15 & 16) on multilevel models; *the current controversies regarding statistical reasoning, such as the latest debates on hypothesis testing (ch. 2); *a new preview of the experimental designs covered in the book (ch. 2); *a CD with SPSS and SAS data sets for many of the text exercises, as well as tutorials reviewing basic statistics and regression; and *a Web site containing examples of SPSS and SAS syntax for analyzing many of the text exercises. Appropriate for advanced courses on experimental design or analysis, applied statistics, or analysis of variance taught in departments of psychology, education, statistics, business, and other social sciences, the book is also ideal for practicing researchers in these disciplines. A prerequisite of undergraduate statistics is assumed. An Instructor's Solutions Manual is available to those who adopt the book for classroom use.
Book Synopsis Selecting the Right Analyses for Your Data by : W. Paul Vogt
Download or read book Selecting the Right Analyses for Your Data written by W. Paul Vogt and published by Guilford Publications. This book was released on 2014-05-19 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: *Chapter-opening preview boxes that highlight useful topics addressed. *End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. *Annotated suggestions for further reading and technical resources on each topic. Subject Areas/Keywords: analyses, coding, combined methods, data analysis, data collection, dissertation, graphical, interpretation, mixed methods, qualitative, quantitative, research analysis, research designs, research methods, social sciences, thesis, visual Audience: Researchers, instructors, and graduate students in a range of disciplines, including psychology, education, social work, sociology, health, and management; administrators and managers who need to make data-driven decisions"--
Book Synopsis Library Linked Data in the Cloud by : Carol Jean Godby
Download or read book Library Linked Data in the Cloud written by Carol Jean Godby and published by Morgan & Claypool Publishers. This book was released on 2015-05-25 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes OCLC’s contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing ‘cloud’ of interconnected resources that identify the things people want to know about when they approach the Internet with an information need. The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world’s largest library cooperative, OCLC researchers have been active participants in the development of next generation standards for library resource description. By engaging with an international community of library and Web standards experts, they have published some of the most widely used RDF datasets representing library collections and librarianship. This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web-accessible library catalog, but elsewhere on the Internet. Modeling data in a form that the broader Web understands will project the value of libraries into the Digital Information Age. The exposition is aimed at librarians, archivists, computer scientists, and other professionals interested in modeling bibliographic descriptions as linked data. It aims to achieve a balanced treatment of theory, technical detail, and practical application.
Book Synopsis Designing Experiments and Analyzing Data by : Scott E. Maxwell
Download or read book Designing Experiments and Analyzing Data written by Scott E. Maxwell and published by Routledge. This book was released on 2017-09-11 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter’s content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online, and extensive sets of exercises help develop a deeper understanding of the subject. Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments.com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data.
Book Synopsis How to Design and Report Experiments by : Andy Field
Download or read book How to Design and Report Experiments written by Andy Field and published by SAGE. This book was released on 2002-12-20 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, How to Design and Report Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses.
Book Synopsis Science Experiments by the Hundreds by : Julia H. Cothron
Download or read book Science Experiments by the Hundreds written by Julia H. Cothron and published by Kendall Hunt. This book was released on 2004 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis General Chemistry Experiments, Revised Second Edition by : Jerry L. Mills
Download or read book General Chemistry Experiments, Revised Second Edition written by Jerry L. Mills and published by Morton Publishing Company. This book was released on 2017-02-01 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: The straightforward, time-tested General Chemistry Laboratory Experiments is appropriate for two-semester general chemistry courses at the college level. Our Chemistry Laboratory Series is designed to actively engage your students in the process of learning how to be curious, precise, and safe in the laboratory. Our manuals are clearly written, engagingly illustrated, and affordably priced to make sure that your students’ first experiences in the laboratory provide a solid foundation for their future studies.
Book Synopsis Trustworthy Online Controlled Experiments by : Ron Kohavi
Download or read book Trustworthy Online Controlled Experiments written by Ron Kohavi and published by Cambridge University Press. This book was released on 2020-04-02 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to • Use the scientific method to evaluate hypotheses using controlled experiments • Define key metrics and ideally an Overall Evaluation Criterion • Test for trustworthiness of the results and alert experimenters to violated assumptions • Build a scalable platform that lowers the marginal cost of experiments close to zero • Avoid pitfalls like carryover effects and Twyman's law • Understand how statistical issues play out in practice.
Book Synopsis A Guide to Extensive Testing on Farms by : Henry Hopp
Download or read book A Guide to Extensive Testing on Farms written by Henry Hopp and published by . This book was released on 1954 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Save the Earth Science Experiments by : Elizabeth Snoke Harris
Download or read book Save the Earth Science Experiments written by Elizabeth Snoke Harris and published by Sterling Publishing Company, Inc.. This book was released on 2008 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Going green is a hot topic...and a hot science fair project. Author and scientist Elizabeth Snoke Harris knows what impresses, and she provides plenty of winning ideas, along with step-by-step guidance to insure that the end result is a success. Show how to harness energy with windmills, make a biogas generator, and create alternative fuels. Demonstrate green power with recycled paper, solar building, and compact fluorescent light bulbs. Test the ozone, be a "garbage detective,” and discuss how to reverse global warming. The importance of what children learn will go even beyond the science fair: they’ll have the knowledge to understand what’s happening to Planet Earth...and the desire to do something eco-friendly every day.
Book Synopsis Experimentation Works by : Stefan H. Thomke
Download or read book Experimentation Works written by Stefan H. Thomke and published by Harvard Business Press. This book was released on 2020-02-18 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition, experience, and big data alone don't work. What does? Running disciplined business experiments. And what if companies roll out new products or introduce new customer experiences without running these experiments? They fly blind. That's what Harvard Business School professor Stefan Thomke shows in this rigorously researched and eye-opening book. It guides you through best practices in business experimentation, illustrates how these practices work at leading companies, and answers some fundamental questions: What makes a good experiment? How do you test in online and brick-and-mortar businesses? In B2B and B2C? How do you build an experimentation culture? Also, best practice means running many experiments. Indeed, some hugely successful companies, such as Amazon, Booking.com, and Microsoft, run tens of thousands of controlled experiments annually, engaging millions of users. Thomke shows us how these and many other organizations prove that experimentation provides significant competitive advantage. How can managers create this capability at their own companies? Essential is developing an experimentation organization that prizes the science of testing and puts the discipline of experimentation at the center of its innovation process. While it once took companies years to develop the tools for such large-scale experiments, advances in technology have put these tools at the fingertips of almost any business professional. By combining the power of software and the rigor of controlled experiments, today's managers can make better decisions, create magical customer experiences, and generate big financial returns. Experimentation Works is your guidebook to a truly new way of thinking and innovating.
Book Synopsis Basic Experimental Strategies and Data Analysis for Science and Engineering by : John Lawson
Download or read book Basic Experimental Strategies and Data Analysis for Science and Engineering written by John Lawson and published by CRC Press. This book was released on 2016-11-03 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every technical investigation involving trial-and-error experimentation embodies a strategy for deciding what experiments to perform, when to quit, and how to interpret the data. This handbook presents several statistically derived strategies which are more efficient than any intuitive approach and will get the investigator to their goal with the fewest experiments, give the greatest degree of reliability to their conclusions, and keep the risk of overlooking something of practical importance to a minimum. Features: Provides a comprehensive desk reference on experimental design that will be useful to practitioners without extensive statistical knowledge Features a review of the necessary statistical prerequisites Presents a set of tables that allow readers to quickly access various experimental designs Includes a roadmap for where and when to use various experimental design strategies Shows compelling examples of each method discussed Illustrates how to reproduce results using several popular software packages on a companion web site Following the outlines and examples in this book should quickly allow a working professional or student to select the appropriate experimental design for a research problem at hand, follow the design to conduct the experiments, and analyze and interpret the resulting data. John Lawson and John Erjavec have a combined 25 years of industrial experience and over 40 years of academic experience. They have taught this material to numerous practicing engineers and scientists as well as undergraduate and graduate students.
