The scientific method is the process scientists use to test ideas and gather useful results. As part of the scientific method, scientists gather data, form a hypothesis, and test their hypothesis by performing experiments. Not all hypotheses will be right, but that's part of science! Readers will learn the parts of the scientific method, best practices for running experiments, and how to interpret the results of their experiment. Diagrams and fact boxes provide readers with essential information about using the scientific method in the lab.

The scientific method is used to solve many great mysteries in natural science. It is long process that includes systematic observation, measurement and experiment. It is then followed by formulation, testing and modification of hypotheses. At fourth grade, your child will begin to use the scientific method in laboratory classes. This book will become very useful in this stage. Grab a copy today!

Learning through experience is key for true understanding. This clever series features numerous safe, accessible experiments using easy-to-find materials and step-by-step instructions. Colorful illustrated characters, including Professor Albert and Greg the Robot, accompany learners and help clarify important points that readers should comprehend. Each experiment includes difficulty and dirtiness ratings so learners know what to expect as they enter their lab. Disgusting chemistry (slime!), light and color, electricity and magnetism, and optical illusions are the high-interest topics that will motivate budding researchers to unravel the secrets of elementary science. - Each book begins with an explanation of the scientific method and instructions for staying safe - Topics were selected for their relevance to the elementary science curriculum and their appeal to the age group - The design throughout the series is an inviting interweaving of interesting fact boxes, illustrated characters, and easy-to-follow directions

When researchers gather around lunch tables, at conferences, or in bars, there are some topics that are more or less compulsory. The discussions are about the ho- less management of the university or the lab where they are working, the lack of funding for important research, politicians’ inability to grasp the potential of a p- ticularly promising ?eld, and the endless series of committees that seem to produce very little progress. It is common to meet excellent researchers claiming that they have almost no time to do research because writing applications, lecturing, and - tending to committee work seem to take most of their time. Very few ever come into a position to do something about it. With Simula we have this chance. We were handed a considerable annual grant and more or less left to ourselves to do whatever we thought would produce the best possible results. We wanted to create a place where researchers could have the time and conditions necessary to re?ect over dif?cult problems, uninterrupted by mundane dif?culties; where doctoral students could be properly supervised and learn the craft of research in a well-organized and professional manner; and where entrepreneurs could ?nd professional support in developing their research-based - plications and innovations.

Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project, giving advice on planning and conducting studies, analysing data and writing up reports, both quantitative and qualitative. It incorporates diversity and includes a large section on cross-cultural psychology methods and issues. The book continues its long tradition of integrating qualitative issues into methods chapters as well as providing two chapters dedicated to qualitative methods. It provides clear coverage of experimental, interviewing and observational methods; psychological testing; and statistical procedures which include nominal-level tests, ordinal and interval two-condition tests, simple and multi-factorial ANOVA designs, correlation, multiple regression, log linear analysis, factor analysis and, new with this edition, logistic regression. It features detailed and illustrated SPSS instructions for all these and other procedures, eliminating the need for an extra SPSS textbook. New edition features include: • Logistic regression. • Greater detail of online research methods. • Expanded coverage of report writing guidelines. • Concepts illustrated with up-to-date published research examples. • Instructor and Student Resource website signposted throughout the book to improve student usability. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. This book is extended and enhanced by a fully updated and refreshed Instructor and Student Resource website, which includes: • A collection of interactive multiple-choice questions with detailed feedback, providing the opportunity to test understanding at different levels. • Practical exercises that give students the opportunity to put their learning into practice. • Links to further reading and sources to expand knowledge. • Test banks for each chapter to save instructors time. Access the website at: www.routledge.com/cw/coolican.

While there are many books available on statistical analysis of data from experiments, there is significantly less available on the design, development, and actual conduct of the experiments. Laboratory Experiments in the Social Sciences summarizes how to design and conduct scientifically sound experiments, be they from surveys, interviews, observations, or experimental methods. The book encompasses how to collect reliable data, the appropriate uses of different methods, and how to avoid or resolve common problems in experimental research. Case study examples illustrate how multiple methods can be used to answer the same research questions and what kinds of outcome would result from each methodology. Sound data begins with effective data collection. This book will assist students and professionals alike in sociology, marketing, political science, anthropology, economics, and psychology. - Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing - Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments - Pays attention to both practical problems and to theoretical and philosophical arguments - Defines commonalities and distinctions within and among experimental situations across the social sciences