Practical Guide To Experimental Design

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Practical Guide to Experimental Design

Author : Normand L. Frigon,David Mathews
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 55,9 Mb
Release : 1996-11-28
Category : Technology & Engineering
ISBN : 047113919X

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Practical Guide to Experimental Design by Normand L. Frigon,David Mathews Pdf

Over the last decade, Design of Experiments (DOE) has become established as a prime analytical and forecasting method with a vital role to play in product and process improvement. Now Practical Guide to Experimental Design lets you put this high-level statistical technique to work in your field, whether you are in the manufacturing or services sector. This accessible book equips you with all of the basic technical and managerial skills you need to develop, execute, and evaluate designed experiments effectively. You will develop a solid grounding in the statistical underpinnings of DOE, including distributions, analysis of variance, and more. You will also gain a firm grasp of full and fractional factorial techniques, the use of DOE in fault isolation and failure analysis, and the application of individual DOE methods within an integrated system. Each procedure is clearly illustrated one step at a time with the help of simplified notation and easy-to-understand spreadsheets. The book's real-world approach is reinforced throughout by case studies, examples, and exercises taken from a broad cross section of business applications. Practical Guide to Experimental Design is a valuable competitive asset for engineers, scientists, and decision-makers in many industries, as well as an important resource for researchers and advanced students. This hands-on guide offers complete, down-to-earth coverage of Design of Experiments (DOE) basics, providing you with the technical and managerial tools you need to put this powerful technique into action to help you achieve your quality improvement objectives. Using a clear, step-by-step approach, Practical Guide to Experimental Design shows you how to develop, perform, and analyze designed experiments. The book features: * Accessible coverage of statistical concepts, including data acquisition, reporting of results, sampling and other distributions, and more * A complete range of analytical procedures - analysis of variance, full and fractional factorial DOE, and the role of DOE in fault isolation and failure analysis * In-depth case studies, examples, and exercises covering a range of different uses of DOE * Broad applications across manufacturing, service, administrative, and other business sectors No matter what your field, Practical Guide to Experimental Design provides you with the "on-the-ground" assistance necessary to transform DOE theory into practice - the ideal guide for engineers, scientists, researchers, and advanced students.

Design of Experiments in Chemical Engineering

Author : Zivorad R. Lazic
Publisher : John Wiley & Sons
Page : 620 pages
File Size : 53,9 Mb
Release : 2006-03-06
Category : Science
ISBN : 9783527604593

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Design of Experiments in Chemical Engineering by Zivorad R. Lazic Pdf

While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research: * screening designs * mathematical modeling, and * optimization. Written in a simple and lively manner and backed by current chemical product studies from all around the world, the book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical engineering. Throughout, the focus is on unifying the theory and methodology of optimization with well-known statistical and experimental methods. The author draws on his own experience in research and development, resulting in a work that will assist students, scientists and engineers in using the concepts covered here in seeking optimum conditions for a chemical system or process. With 441 tables, 250 diagrams, as well as 200 examples drawn from current chemical product studies, this is an invaluable and convenient source of information for all those involved in process optimization.

Single-case and Small-n Experimental Designs

Author : John B. Todman,Pat Dugard
Publisher : Psychology Press
Page : 231 pages
File Size : 41,5 Mb
Release : 2001-03
Category : Mathematics
ISBN : 9781135659356

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Single-case and Small-n Experimental Designs by John B. Todman,Pat Dugard Pdf

This book is a practical guide to help researchers draw valid causal inferences from small-scale clinical intervention studies. It should be of interest to teachers of, and students in, courses with an experimental clinical component, as well as clinical researchers. Inferential statistics used in the analysis of group data are frequently invalid for use with data from single-case experimental designs. Even non-parametric rank tests provide, at best, approximate solutions for only some single-case (and small-n ) designs. Randomization (Exact) tests, on the other hand, can provide valid statistical analyses for all designs that incorporate a random procedure for assigning treatments to subjects or observation periods, including single-case designs. These Randomization tests require large numbers of data rearrangements and have been seldom used, partly because desktop computers have only recently become powerful enough to complete the analyses in a reasonable time. Now that the necessary computational power is available, they continue to be under-used because they receive scant attention in standard statistical texts for behavioral researchers and because available programs for running the analyses are relatively inaccessible to researchers with limited statistical or computing interest. This book is first and foremost a practical guide, although it also presents the theoretical basis for Randomization tests. Its most important aim is to make these tests accessible to researchers for a wide range of designs. It does this by providing programs on CD-ROM that allow users to run analyses of their data within a standard package (Minitab, Excel, or SPSS) with which they are already familiar. No statistical or computing expertise is required to use these programs. This is the "new stats" for single-case and small-n intervention studies, and anyone interested in this research approach will benefit.

Experimental Design for Laboratory Biologists

Author : Stanley E. Lazic
Publisher : Cambridge University Press
Page : 429 pages
File Size : 53,6 Mb
Release : 2016-12-08
Category : Family & Relationships
ISBN : 9781107074293

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Experimental Design for Laboratory Biologists by Stanley E. Lazic Pdf

A guide to designing lab-based biological experiments that have low bias, high precision and widely applicable results.

Practical Guide to Designed Experiments

Author : Paul D Funkenbusch,Taylor & Francis Group
Publisher : CRC Press
Page : 220 pages
File Size : 40,9 Mb
Release : 2021-09-30
Category : Electronic
ISBN : 1032180145

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Practical Guide to Designed Experiments by Paul D Funkenbusch,Taylor & Francis Group Pdf

Presenting essential material in a way that permits rapid application to practical problems, this guide provides the structure and understanding necessary for long-term growth. The author first explains how the components fit and work together to make a successful experimental design, then analyzes each component in detail, presenting the various a

Quasi-Experimentation

Author : Charles S. Reichardt
Publisher : Guilford Publications
Page : 382 pages
File Size : 48,5 Mb
Release : 2019-09-02
Category : Business & Economics
ISBN : 9781462540204

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Quasi-Experimentation by Charles S. Reichardt Pdf

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.

Single-case and Small-n Experimental Designs

Author : Pat Dugard,Portia File,Jonathan Todman
Publisher : Taylor & Francis
Page : 306 pages
File Size : 47,8 Mb
Release : 2012-04-27
Category : Psychology
ISBN : 9781136588471

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Single-case and Small-n Experimental Designs by Pat Dugard,Portia File,Jonathan Todman Pdf

This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book’s website so that users can run analyses of the text data as well as data from their own studies. The new edition features: More explanation as to why randomization tests are useful and how to apply them. More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology. A website with the macros and datasets for all of the text examples in IBM SPSS and Excel. Exercises at the end of most chapters that help readers test their understanding of the material. A new glossary that defines the key words that appear in italics when they are first introduced. A new appendix that reviews the basic skills needed to do randomization tests. New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book. The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own. Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book’s accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.

Study Design and Statistical Analysis

Author : Mitchell Katz
Publisher : Cambridge University Press
Page : 229 pages
File Size : 55,6 Mb
Release : 2006-06-22
Category : Medical
ISBN : 9781139643733

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Study Design and Statistical Analysis by Mitchell Katz Pdf

This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate and multivariable analysis, and publishing the results. It does so by using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research by asking and answering the most basic questions about doing research studies. Making good use of numerous tables, graphs and tips, this book helps to demystify the process. A generous number of up-to-date examples from the clinical literature give an illustrated and practical account of how to use multivariable analysis.

Experimental Human-Computer Interaction

Author : Helen C. Purchase
Publisher : Cambridge University Press
Page : 263 pages
File Size : 48,6 Mb
Release : 2012-07-23
Category : Computers
ISBN : 9781107010062

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Experimental Human-Computer Interaction by Helen C. Purchase Pdf

Takes the human-computer interaction researcher through the complete experimental process, from identifying a research question, to conducting an experiment and analysing the results.

Proteomics in Practice

Author : Reiner Westermeier,Tom Naven,Hans-Rudolf Höpker
Publisher : John Wiley & Sons
Page : 502 pages
File Size : 55,5 Mb
Release : 2008-09-08
Category : Science
ISBN : 9783527622306

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Proteomics in Practice by Reiner Westermeier,Tom Naven,Hans-Rudolf Höpker Pdf

Still the only concise practical guide to laboratory experiments in proteomics, this new edition now also covers DIGE technology and liquid-chromatography, while the troubleshooting section has been considerably extended. Adopting a practical approach, the authors present the relevant techniques and explain the route to successful experimental design and optimal method selection. They cover such electrophoretic techniques as isoelectric focusing, SDS page, 2-D page, and DIGE, as well as liquid-chromatography techniques, such as ion exchange, affinity chromatography and reversed-phase HPLC. Mass-spectrometric techniques include MALDI, ESI, and FT ICR. Generously illustrated, partly in color, the book also features updates of protocols as well as animations illustrating crucial methodological steps on a companion website.

Power Analysis for Experimental Research

Author : R. Barker Bausell,Yu-Fang Li
Publisher : Cambridge University Press
Page : 379 pages
File Size : 44,8 Mb
Release : 2002-09-19
Category : Science
ISBN : 9781139441667

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Power Analysis for Experimental Research by R. Barker Bausell,Yu-Fang Li Pdf

Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments.

A Practical Guide to Experimental Geometrical Optics

Author : Yuriy A. Garbovskiy,Anatoliy V. Glushchenko
Publisher : Cambridge University Press
Page : 241 pages
File Size : 44,5 Mb
Release : 2017-12-28
Category : Science
ISBN : 9781107170940

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A Practical Guide to Experimental Geometrical Optics by Yuriy A. Garbovskiy,Anatoliy V. Glushchenko Pdf

A concise, yet deep introduction to geometrical optics, developing the practical skills and research techniques routinely used in modern laboratories. Suitable for both students and self-learners, this accessible text teaches readers how to build their own optical laboratory, and design and perform optical experiments.

Quality by Experimental Design

Author : Thomas B. Barker,Andrew Milivojevich
Publisher : CRC Press
Page : 740 pages
File Size : 55,9 Mb
Release : 2016-01-27
Category : Business & Economics
ISBN : 9781482249675

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Quality by Experimental Design by Thomas B. Barker,Andrew Milivojevich Pdf

Achieve Technological Advancements in Applied Science and Engineering Using Efficient Experiments That Consume the Least Amount of ResourcesWritten by longtime experimental design guru Thomas B. Barker and experimental development/Six Sigma expert Andrew Milivojevich, Quality by Experimental Design, Fourth Edition shows how to design and analyze ex

How to Design and Report Experiments

Author : Andy Field,Graham Hole
Publisher : SAGE
Page : 398 pages
File Size : 45,8 Mb
Release : 2002-12-20
Category : Psychology
ISBN : 9781847872982

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How to Design and Report Experiments by Andy Field,Graham Hole Pdf

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.

Designing Experiments for the Social Sciences

Author : Renita Coleman
Publisher : SAGE Publications
Page : 339 pages
File Size : 50,9 Mb
Release : 2018-08-27
Category : Social Science
ISBN : 9781506377315

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Designing Experiments for the Social Sciences by Renita Coleman Pdf

"This book is a must for learning about the experimental design–from forming a research question to interpreting the results this text covers it all." –Sarah El Sayed, University of Texas at Arlington 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 students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given. Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines.