101 Great Science Experiments


Book Description

Forget about mad scientists and messy laboratories! This incredible, interactive guide for children showcases 101 absolutely awesome experiments you can do at home. Find out how to make a rainbow, build a buzzer, see sound, construct a circuit, bend light, play with shadows, measure the wind, weigh air, and create an underwater volcano. The astonishing variety of experiments are all very easy and entirely safe, with step-by-step text and everyday ingredients. Biology, chemistry, and physics are brought to life, showing budding young scientists that science is all around us all the time. As you have fun trying out experiments with friends and family, core scientific principles are presented in the most memorable way. With chapters covering important topics such as color, magnets, light, senses, electricity, and motion, the laws of science are introduced in crystal-clear text alongside specially commissioned full-color photography for children to understand. Follow in the footsteps of Albert Einstein, Marie Curie, and all the other great minds with 101 Great Science Experiments and learn the secrets of science you’ll never forget.




Experimental Thinking


Book Description

Experiments are a central methodology in the social sciences. Scholars from every discipline regularly turn to experiments. Practitioners rely on experimental evidence in evaluating social programs, policies, and institutions. This book is about how to “think” about experiments. It argues that designing a good experiment is a slow moving process (given the host of considerations) which is counter to the current fast moving temptations available in the social sciences. The book includes discussion of the place of experiments in the social science process, the assumptions underlying different types of experiments, the validity of experiments, the application of different designs, how to arrive at experimental questions, the role of replications in experimental research, and the steps involved in designing and conducting “good” experiments. The goal is to ensure social science research remains driven by important substantive questions and fully exploits the potential of experiments in a thoughtful manner.




Advances in Experimental Political Science


Book Description

Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.




Experimental Innovations in Surface Science


Book Description

This book is a new edition of a classic text on experimental methods and instruments in surface science. It offers practical insight useful to chemists, physicists, and materials scientists working in experimental surface science. This enlarged second edition contains almost 300 descriptions of experimental methods. The more than 50 active areas with individual scientific and measurement concepts and activities relevant to each area are presented in this book. The key areas covered are: Vacuum System Technology, Mechanical Fabrication Techniques, Measurement Methods, Thermal Control, Delivery of Adsorbates to Surfaces, UHV Windows, Surface Preparation Methods, High Area Solids, Safety. The book is written for researchers and graduate students.




Experimental Methods for Science and Engineering Students


Book Description

An overview of experimental methods providing practical advice to students seeking guidance with their experimental work.




The Experimental Self


Book Description

What did it mean to be a scientist before the profession itself existed? Jan Golinski finds an answer in the remarkable career of Humphry Davy, the foremost chemist of his day and one of the most distinguished British men of science of the nineteenth century. Originally a country boy from a modest background, Davy was propelled by his scientific accomplishments to a knighthood and the presidency of the Royal Society. An enigmatic figure to his contemporaries, Davy has continued to elude the efforts of biographers to classify him: poet, friend to Coleridge and Wordsworth, author of travel narratives and a book on fishing, chemist and inventor of the miners’ safety lamp. What are we to make of such a man? In The Experimental Self, Golinski argues that Davy’s life is best understood as a prolonged process of self-experimentation. He follows Davy from his youthful enthusiasm for physiological experiment through his self-fashioning as a man of science in a period when the path to a scientific career was not as well-trodden as it is today. What emerges is a portrait of Davy as a creative fashioner of his own identity through a lifelong series of experiments in selfhood.




Cambridge Handbook of Experimental Political Science


Book Description

This volume provides the first comprehensive overview of how political scientists have used experiments to transform their field of study.




Experimental Political Science and the Study of Causality


Book Description

Increasingly, political scientists use the term 'experiment' or 'experimental' to describe their empirical research. One of the primary reasons for doing so is the advantage of experiments in establishing causal inferences. In this book, Rebecca B. Morton and Kenneth C. Williams discuss in detail how experiments and experimental reasoning with observational data can help researchers determine causality. They explore how control and random assignment mechanisms work, examining both the Rubin causal model and the formal theory approaches to causality. They also cover general topics in experimentation such as the history of experimentation in political science; internal and external validity of experimental research; types of experiments - field, laboratory, virtual, and survey - and how to choose, recruit, and motivate subjects in experiments. They investigate ethical issues in experimentation, the process of securing approval from institutional review boards for human subject research, and the use of deception in experimentation.




Thrifty Science


Book Description

If the twentieth century saw the rise of “Big Science,” then the seventeenth and eighteenth centuries were surely an age of thrift. As Simon Werrett’s new history shows, frugal early modern experimenters transformed their homes into laboratories as they recycled, repurposed, repaired, and reused their material possessions to learn about the natural world. Thrifty Science explores this distinctive culture of experiment and demonstrates how the values of the household helped to shape an array of experimental inquiries, ranging from esoteric investigations of glowworms and sour beer to famous experiments such as Benjamin Franklin’s use of a kite to show lightning was electrical and Isaac Newton’s investigations of color using prisms. Tracing the diverse ways that men and women put their material possessions into the service of experiment, Werrett offers a history of practices of recycling and repurposing that are often assumed to be more recent in origin. This thriving domestic culture of inquiry was eclipsed by new forms of experimental culture in the nineteenth century, however, culminating in the resource-hungry science of the twentieth. Could thrifty science be making a comeback today, as scientists grapple with the need to make their research more environmentally sustainable?




Bayesian Statistics for Experimental Scientists


Book Description

An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis. This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics.