Download or read book Fundamentals in the Design and Analysis of Experiments and Surveys written by Dieter Rasch and published by de Gruyter Oldenbourg. This book was released on 1999 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for students and experimental scientists in all disciplines and presumes only elementary statistical knowledge. This prerequisite knowledge is summarised briefly in the Appendix. Knowledge of differential and integral calculus is not necessary for the understanding of the text. Matrix notation is explained in the Appendix. Die Verfasser wenden sich mit diesem Buch an Studenten und empirisch arbeitende Wissenschaftler aus allen Fachbereichen und setzen nur elementare statistische Kenntnisse voraus. Diese vorausgesetzten Grundkenntnisse sind im Anhang komprimiert zusammengefaßt. Kenntnisse der Differential- und Integralrechnung sind für das Verständnis des Textes nicht erforderlich. Die notwendigen Kenntnisse der Matrizenrechnung enthält der Anhang. From the Table of Contents: Introduction. Planning of Experiments and Surveys and the Description of Simple Designs. Design and Analysis of Completely Randomised Designs. Analysis of Variance. Regression Analysis. Appendix. Tables.

Download or read book The Design and Analysis of Experiments and Surveys written by Dieter Rasch and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-02-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the English version of the second edition of the bilingual textbook by Rasch, Verdooren and Gowers (1999). A parallel version in German is available from the same publisher. This book is intended for students and experimental scientists in all disciplines and presumes only elementary statistical knowledge. This prerequisite knowledge is summarised briefly in appendix B. Knowledge of differential and integral calculus is not necessary for the understanding of the text. Matrix notation is explained in Appendix C. As well as the correction of errors, the present edition differs from the first by the introduction of some new sections, such as that on testing the equality of two proportions (Section 3.4.4), and the inclusion of sequential tests. All new material is accompanied by descriptions of the relevant SPSS and CADEMO procedures.

Download or read book Introduction to Design and Analysis of Experiments written by George W. Cobb and published by Wiley. This book was released on 2008-06-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Design and Analysis of Experiments explains how to choose sound and suitable design structures and engages students in understanding the interpretive and constructive natures of data analysis and experimental design. Cobb's approach allows students to build a deep understanding of statistical concepts over time as they analyze and design experiments. The field of statistics is presented as a matrix, rather than a hierarchy, of related concepts. Developed over years of classroom use, this text can be used as an introduction to statistics emphasizing experimental design or as an elementary graduate survey course. Widely praised for its exceptional range of intelligent and creative exercises, and for its large number of examples and data sets, Introduction to Design and Analysis of Experiments--now offered in a convenient paperback format--helps students increase their understanding of the material as they come to see the connections between diverse statistical concepts that arise from the experiments around which the text is built.

Download or read book Fundamentals of Statistical Experimental Design and Analysis written by Robert G. Easterling and published by John Wiley & Sons. This book was released on 2015-09-08 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs: Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.

Download or read book A First Course in Design and Analysis of Experiments written by Gary W. Oehlert and published by W. H. Freeman. This book was released on 2000-01-19 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.

Download or read book Fundamentals of Statistical Experimental Design and Analysis written by Robert G. Easterling and published by John Wiley & Sons. This book was released on 2015-08-03 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs: Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.

Download or read book Design Evaluation and Analysis of Questionnaires for Survey Research written by Willem E. Saris and published by John Wiley & Sons. This book was released on 2014-04-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition “...this book is quite inspiring, giving many practical ideas for survey research, especially for designing better questionnaires.” —International Statistical Review Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes: • New practice problems to provide readers with real-world experience in survey research and questionnaire design • A comprehensive outline of the steps for creating and testing survey questionnaires • Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires.Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes: • New practice problems to provide readers with real-world experience in survey research and questionnaire design • A comprehensive outline of the steps for creating and testing survey questionnaires • Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. WILLEM E. SARIS, PhD, is Emeritus Professor in Methodology of the University of Amsterdam and the Universitat Pompeu Fabra, Barcelona. He is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as member of the Central Coordinating Team of the European Social Survey (ESS) and Recipient of the World Association of Public Opinion Research’s “Helen Dinerman Award” in 2009 for his lifelong contribution to the methodology of Opinion Research. Dr. Saris also received the “2013 Outstanding Service Prize” of the European Survey Research Association. IRMTRAUD N. GALLHOFER, PhD, is a linguist and was senior researcher on projects of the ESS, Research and Expertise Centre for Survey Methodology at the Universitat Pompeu Fabra, Barcelona. She is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as a member of the Central Coordinating Team of the ESS.Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes: • New practice problems to provide readers with real-world experience in survey research and questionnaire design • A comprehensive outline of the steps for creating and testing survey questionnaires • Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. WILLEM E. SARIS, PhD, is Emeritus Professor in Methodology of the University of Amsterdam and the Universitat Pompeu Fabra, Barcelona. He is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as member of the Central Coordinating Team of the European Social Survey (ESS) and Recipient of the World Association of Public Opinion Research’s “Helen Dinerman Award” in 2009 for his lifelong contribution to the methodology of Opinion Research. Dr. Saris also received the “2013 Outstanding Service Prize” of the European Survey Research Association. IRMTRAUD N. GALLHOFER, PhD, is a linguist and was senior researcher on projects of the ESS, Research and Expertise Centre for Survey Methodology at the Universitat Pompeu Fabra, Barcelona. She is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as a member of the Central Coordinating Team of the ESS.

Download or read book DOE Simplified written by Mark J. Anderson and published by CRC Press. This book was released on 2017-08-15 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a planned approach for determining cause and effect, DOE Simplified: Practical Tools for Effective Experimentation, Third Edition integrates the authors decades of combined experience in providing training, consulting, and computational tools to industrial experimenters. Supplying readers with the statistical means to analyze how numerous variables interact, it is ideal for those seeking breakthroughs in product quality and process efficiency via systematic experimentation.Following in the footsteps of its bestselling predecessors, this edition incorporates a lively approach to learning the fundamentals of the design of experiments (DOE). It lightens up the inherently dry complexities with interesting sidebars and amusing anecdotes.The book explains simple methods for collecting and displaying data and presents comparative experiments for testing hypotheses. Discussing how to block the sources of variation from your analysis, it looks at two-level factorial designs and covers analysis of variance. It also details a four-step planning process for designing and executing experiments that takes statistical power into consideration.This edition includes a major revision of the software that accompanies the book (via download) and sets the stage for introducing experiment designs where the randomization of one or more hard-to-change factors can be restricted. Along these lines, it includes a new chapter on split plots and adds coverage of a number of recent developments in the design and analysis of experiments.Readers have access to case studies, problems, practice experiments, a glossary of terms, and a glossary of statistical symbols, as well as a series of dynamic online lectures that cover the first several chapters of the book.

Download or read book The Design and Analysis of Computer Experiments written by Thomas J. Santner and published by Springer. This book was released on 2019-01-08 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

Download or read book Designing and Conducting Survey Research written by Louis M. Rea and published by John Wiley & Sons. This book was released on 2012-06-19 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing & Conducting Survey Research, third edition Since it was first published in 1992, Designing and Conducting Survey Research has become the standard reference in the field for public and nonprofit managers who are responsible for conducting effective and meaningful survey research. This updated and expanded third edition builds on the first two volumes and contains additional statistical techniques, new reporting methods that meet the growing demands for accountability, and more user-friendly analysis methods. Designing and Conducting Survey Research is a complete, practical guide to conducting sample survey research. In a comprehensive manner, it explains all major components of survey research, including construction of the instrument, administration of the process, and analysis and reporting of results. Clear, concise, and accessible, this guide explains how to conduct a survey research project from start to finish. Further, it shows how this research method can be applied in such diverse fields as urban affairs, social science, and public administration. Designing and Conducting Survey Research is an excellent tool that will help both professionals and students understand and explain the validity of sample survey research. Praise for the Previous Edition of Designing & Conducting Survey Research "Clear, thorough, well-written, and eminently practical. Takes you step by step through all you need to know to conduct a survey or evaluate one and provides a basic understanding of the theoretical basis of sampling. The clarity of the book makes it a model for effective instruction and one that opens the road for those who must master the subject themselves." -Norton Long, professor emeritus of political science, University of Missouri, St. Louis "A basic tool for conducting survey research projects that any researcher can understand and use. Freed of confusing statistical theory yet comprehensive in approach, with step by step details." -John B. Sauvajot, public management consultant and former deputy chief administrative officer, San Diego County "Demystifies the arcane world of pollsters and survey research. Anyone who conducts surveys, hires survey consultants, reads reports, or makes policy based on survey data will benefit from this book." -Robert J. Waste, Survey Research Center, California State University, Chico

Download or read book Survey Research for Public Administration written by David H. Folz and published by SAGE. This book was released on 1996-04-24 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This basic introduction to survey research for public administration is organised around the fundamental stages of the research process - planning, design, implementation, analysis and presentation

Download or read book Design and Analysis of Experiment Embedded in Complex Surveys written by Jan van den Brakel and published by . This book was released on 1997 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design and Analysis of Experiments written by Angela M. Dean and published by Springer Science & Business Media. This book was released on 2000-12-21 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment. Data sets are taken from real experiments and sample SAS programs are included with each chapter. Experimental design is an essential part of investigation and discovery in science; this book will serve as a modern and comprehensive reference to the subject.

Download or read book Multivariate Analysis Design of Experiments and Survey Sampling written by Subir Ghosh and published by CRC Press. This book was released on 1999-04-29 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling. Features the work of nearly 50 international leaders."

Download or read book The SAGE Encyclopedia of Communication Research Methods written by Mike Allen and published by SAGE Publications. This book was released on 2017-04-11 with total page 2013 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version.

Download or read book Design and Analysis of Experiments Introduction to Experimental Design written by Klaus Hinkelmann and published by John Wiley & Sons. This book was released on 1994-03-22 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and analysis of experiments/Hinkelmann.-v.1.

Download or read book Experimental Methods in Survey Research written by Paul J. Lavrakas and published by John Wiley & Sons. This book was released on 2019-10-08 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used. Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains. Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book: Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciences Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study Includes more than 20 types of original experiments carried out within probability sample surveys Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.