Search results for: experimental-design

Engineering Quality and Experimental Design

Author : Daniel Michael Grove
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Keeping formulae to a minimum, the authors explain the fundamental ideas involved in planning efficient experiments and making good use of the results. Their strategies are inspired by the Japanese engineer Genichi Taguchi, but they show how many of Taguchi's objectives can be accomplished using simpler methods and modern computer technology. Annotation copyright by Book News, Inc., Portland, OR

Error robust Statistical Experimental Design with Application to Model based Sampling in Auditing

Author : Young-Il Kim
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Experimental Designs

Author : Barak Ariel
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The fourth book in The SAGE Quantitative Research Kit, this resource covers the basics of designing and conducting basic experiments, outlining the various types of experimental designs available to researchers, while providing step-by-step guidance on how to conduct your own experiment. As well as an in-depth discussion of Random Controlled Trials (RCTs), this text highlights effective alternatives to this method and includes practical steps on how to successfully adopt them. Topics include: · The advantages of randomisation · How to avoid common design pitfalls that reduce the validity of experiments · How to maintain controlled settings and pilot tests · How to conduct quasi-experiments when RCTs are not an option Practical and succintly written, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

Experimental and Quasi Experimental Designs for Research

Author : Donald T. Campbell
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We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.

Advanced Design in Nursing Research

Author : Pamela J. Brink
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This Second Edition of the bestselling Advanced Design in Nursing Research has been substantially revised and reorganized. Using the principle that the level of knowledge available on a research topic determines the level of

Understanding and Applying Research Design

Author : Martin Lee Abbott
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A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences. The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and designs of social scientific research. Three clearly organized sections move seamlessly from theoretical topics to statistical techniques at the heart of research procedures, and finally, to practical application of research design: Premises of Research introduces the research process and the capabilities of SPSS, with coverage of ethics, Empirical Generalization, and Chi Square and Contingency Table Analysis Procedures of Research explores key quantitative methods in research design including measurement, correlation, regression, and causation Designs of Research outlines various design frameworks, with discussion of survey research, aggregate research, and experiments Throughout the book, SPSS software is used to showcase the discussed techniques, and detailed appendices provide guidance on key statistical procedures and tips for data management. Numerous exercises allow readers to test their comprehension of the presented material, and a related website features additional data sets and SPSS code. Understanding and Applying Research Design is an excellent book for social sciences and education courses on research methods at the upper-undergraduate level. The book is also an insightful reference for professionals who would like to learn how to pose, test, and interpret research questions with confidence.

Fundamenttals of Experimental Design

Author : Jerome L. Myers
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Research Design

Author : John W. Creswell
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This edition for sale in USA and Canada only. The book that has helped more than 150,000 students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis has been revised and updated while maintaining all the features that made the first edition so popular. New to this edition: · Because mixed method research has come into its own since the publication of the first edition, every chapter now shows how to implement a mixed method design in your proposal or plan as well as showing how to do the other two (qualitative and quantitative) approaches · Ethical issues that may arise in quantitative, qualitative and mixed methods designs have been added to a new section in Chapter 3 · Writing tips and considerations have been expanded and moved to the first part of the book to get your research plan started in the right direction · The latest developments in qualitative inquiry, including advocacy, participatory, and emancipatory approaches have been added to Chapter 10 · Mixed Method Procedures (Chapter 11) show readers how to identify the type of mixed method strategy, select the data collection and analysis approaches, and plan the overall structure of the study Examples, drawn from various disciplinary fields, are used throughout the book to deepen the readers understanding of the discussion. These include examples of studies with marginalized individuals in our society that reflect issues in social justice in addition to the traditional samples and populations studied by social researchers.

A Multi model Bayesian Resampling Sequential Experimental Design for Response Surface Estimation

Author : David Leib Ledersnaider Dornbusch
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Advances in Quasi Experimental Design and Analysis

Author : William M. K. Trochim
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The intent of this volume of New Directions for Program Evaluation is to update, even to alter, our thinking about quasi-experimentation in applied social research and program evaluation. This volume makes the case that we have moved beyond the traditional thinking on quasi-experiments as a collection of specific designs and threats to validity toward a more integrated, synthetic view of quasi-experimentation as part of a general logical epistemological framework for research. This is the 31st issue of New Directions for Program Evaluation. For more information on the series, please see the Journals and Periodicals page.