Designing Quantitative Experiments

The method of Prediction Analysis is applicable for anyone interested in designing a quantitative experiment. The design phase of an experiment can be broken down into problem dependent design questio

This book presents a novel approach to characterizing markets in quantitative terms. The examples cut across the world of interest rates, price of gold, stock market and corporate worlds that the stoc

Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that studen

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Dela

This volume offers an in-depth description and discussion of research design for a large-scale investigation of bilingual development. It introduces and justifies a range of theoretical and methodolog

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 i

Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing

Principles of Quantitative Development is a practical guide to designing, building and deploying a trading platform. It is also a lucid and succinct expose on the trade life cycle and the business gro

「Experiments in General Chemistry, 4th Edition」是專為大學修習普通化學實驗之一年級學生所編寫的英文實驗教材。內容涵蓋基礎化學、定性與定量分析化學、動力學、電化學與熱力學、有機化學及新穎材料化學等，共18個實驗及18項實驗技能。適合生命科學及材料工程領域學生之學習。實驗教材編寫理念著重於：印證化學原理、基礎實驗技能練習、強化實驗安全與GHS之觀念，並設計合成與性質鑑定兼具之統整型實驗。讓學生由實作中學習科學研究方法，建立探究精神，經由合成新穎材料，如高溫超導體、導電高分子、金奈米粒子等實驗，瞭解科學發展動向，從而增進學生對基礎科學研究之興趣。本書以示範照片搭配實驗步驟、彩色印刷的方式呈現，幫助學生理解及提升學習成效。 Experiments in General Chemistry is a laboratory manual written for first-year students at National Taiwan University. The first edition was published in 2009. It gathers the teaching experiences from the faculty and teaching assistances of the general chemistry education team over the years. The contents cover qualitative and quantitative analytical chemistry, kinetics, thermodynamics, electrochemistry, organic chemistry and novel materials synthesis, with a total of 18 experiments. The core concept is focused on identifying and applying chemical principles, training basic experimental skills, practicing integrated experiments, and building up th

Using engaging prose, Mary E. Harrington introduces neuroscience students to the principles of scientific research including selecting a topic, designing an experiment, analyzing data, and presenting research. This new third edition updates and clarifies the book's wealth of examples while maintaining the clear and effective practical advice of the previous editions. New and expanded topics in this edition include techniques such as optogenetics and conditional transgenes as well as a discussion of rigor and reproducibility in neuroscience research. Extended coverage of descriptive and inferential statistics arms readers with the analytical tools needed to interpret data. Throughout, practical guidelines are provided on avoiding experimental design problems, presenting research including creating posters and giving talks, and using a '12-step guide' to reading scientific journal articles.

Using engaging prose, Mary E. Harrington introduces neuroscience students to the principles of scientific research including selecting a topic, designing an experiment, analyzing data, and presenting research. This new third edition updates and clarifies the book's wealth of examples while maintaining the clear and effective practical advice of the previous editions. New and expanded topics in this edition include techniques such as optogenetics and conditional transgenes as well as a discussion of rigor and reproducibility in neuroscience research. Extended coverage of descriptive and inferential statistics arms readers with the analytical tools needed to interpret data. Throughout, practical guidelines are provided on avoiding experimental design problems, presenting research including creating posters and giving talks, and using a '12-step guide' to reading scientific journal articles.

This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments con

Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study,

Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study,

This practical research text provides an invaluable resource for all animal and veterinary scientists designing, analyzing and interpreting results from nutrition and feed experiments in pigs and poul

Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation.

Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation.

This volume describes prominent methodologies developed by laboratories that have been leading the field of quantitative proteomics by mass spectrometry. The procedures for performing the experiments

Presents all-new laboratory-tested theory for calculating more accurate ionized electric fields to aid in designing high-voltage devices and its componentsUnderstanding and accurately calculating coro

This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a

This unique book is the first comprehensive guide to the discovery, analysis, and evaluation of natural experiments - an increasingly popular methodology in the social sciences. Thad Dunning provides an introduction to key issues in causal inference, including model specification, and emphasizes the importance of strong research design over complex statistical analysis. Surveying many examples of standard natural experiments, regression-discontinuity designs, and instrumental-variables designs, Dunning highlights both the strengths and potential weaknesses of these methods, aiding researchers in better harnessing the promise of natural experiments while avoiding the pitfalls. Dunning also demonstrates the contribution of qualitative methods to natural experiments and proposes new ways to integrate qualitative and quantitative techniques. Chapters complete with exercises and appendices covering specialized topics such as cluster-randomized natural experiments, make this an ideal teachin

This book systematically outlines specific strategies to guide the student in designing and conducting empirical research. The quality and usefulness of all research is only as good as the skills of t

This book systematically outlines specific strategies to guide the student in designing and conducting empirical research. The quality and usefulness of all research is only as good as the skills of t

It is essential that scientists design a plan to ensure their experiments are conducted accurately and safely. Readers will learn how to gather materials, and create a step-by-step procedure to test t

This book expertly guides the reader through all stages involved in undertaking quantitative psychological research, from accessing the relevant literature, through designing and conducting a study, a