Design And Analysis Of Time Series Experiments

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Design and Analysis of Time-series Experiments

Gene V. Glass,Victor L. Willson,John Mordechai Gottman
Design and Analysis of Time series Experiments Book PDF

Author : Gene V. Glass,Victor L. Willson,John Mordechai Gottman
Publisher : Information Age Pub Incorporated
Page : 241 pages
File Size : 47,7 Mb
Release : 2008
Category : Business & Economics
ISBN : 1593119801

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Design and Analysis of Time-series Experiments by Gene V. Glass,Victor L. Willson,John Mordechai Gottman Pdf

Hailed as a landmark in the development of experimental methods when it appeared in 1975, Design and Analysis of Time-Series Experiments is available again after several years of being out of print. Gene V Glass, Victor L. Willson and John M. Gottman have carried forward the design and analysis of perhaps the most powerful and useful quasi-experimental design identified by their mentors in the classic Campbell & Stanley text Experimental and Quasi-experimental Design for Research (1966). In an era when governments seek to resolve questions of experimental validity by fiat and the label "Scientifically Based Research" is appropriated for only certain privileged experimental designs, nothing could be more appropriate than to bring back the classic text that challenges doctrinaire opinions of proper causal analysis. Glass, Willson & Gottman introduce and illustrate an armamentarium of interrupted time-series experimental designs that offer some of the most powerful tools for discovering and validating causal relationships in social and education policy analysis. Drawing on the ground-breaking statistical analytic tools of Box & Jenkins, the authors extend the comprehensive autoregressive-integrated-movingaverages (ARIMA) model to accommodate significance testing and estimation of the effects of interventions into real world time-series. Designs and full statistical analyses are richly illustrated with actual examples from education, behavioral psychology, and sociology.

Design and Analysis of Time Series Experiments

Richard McCleary,David McDowall,Bradley J. Bartos
Design and Analysis of Time Series Experiments Book PDF

Author : Richard McCleary,David McDowall,Bradley J. Bartos
Publisher : Oxford University Press
Page : 393 pages
File Size : 53,6 Mb
Release : 2017
Category : Medical
ISBN : 9780190661564

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Design and Analysis of Time Series Experiments by Richard McCleary,David McDowall,Bradley J. Bartos Pdf

Design and Analysis of Time Series Experiments presents the elements of statistical time series analysis while also addressing recent developments in research design and causal modeling. A distinguishing feature of the book is its integration of design and analysis of time series experiments. Drawing examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, Design and Analysis of Time Series Experiments is addressed to researchers and graduate students in a wide range of behavioral, biomedical and social sciences. Readers learn not only how-to skills but, also the underlying rationales for the design features and the analytical methods. ARIMA algebra, Box-Jenkins-Tiao models and model-building strategies, forecasting, and Box-Tiao impact models are developed in separate chapters. The presentation of the models and model-building assumes only exposure to an introductory statistics course, with more difficult mathematical material relegated to appendices. Separate chapters cover threats to statistical conclusion validity, internal validity, construct validity, and external validity with an emphasis on how these threats arise in time series experiments. Design structures for controlling the threats are presented and illustrated through examples. The chapters on statistical conclusion validity and internal validity introduce Bayesian methods, counterfactual causality and synthetic control group designs. Building on the earlier of the authors, Design and Analysis of Time Series Experiments includes more recent developments in modeling, and considers design issues in greater detail than any existing work. Additionally, the book appeals to those who want to conduct or interpret time series experiments, as well as to those interested in research designs for causal inference.--

Design and Analysis of Time Series Experiments

Richard McCleary,David McDowall,Bradley J. Bartos
Design and Analysis of Time Series Experiments Book PDF

Author : Richard McCleary,David McDowall,Bradley J. Bartos
Publisher : Unknown
Page : 0 pages
File Size : 54,9 Mb
Release : 2017
Category : Experimental design
ISBN : 0190661593

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Design and Analysis of Time Series Experiments by Richard McCleary,David McDowall,Bradley J. Bartos Pdf

'Design and Analysis of Time Series Experiments' develops methods and models for analysis and interpretation of time series experiments. Drawing on examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, it addresses researchers and graduate students in a wide range of the behavioral, biomedical and social sciences.

Design and Analysis of Time Series Experiments

Richard McCleary,David McDowall,Bradley Bartos
Design and Analysis of Time Series Experiments Book PDF

Author : Richard McCleary,David McDowall,Bradley Bartos
Publisher : Oxford University Press
Page : 352 pages
File Size : 49,9 Mb
Release : 2017-05-11
Category : Social Science
ISBN : 9780190661571

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Design and Analysis of Time Series Experiments by Richard McCleary,David McDowall,Bradley Bartos Pdf

Design and Analysis of Time Series Experiments presents the elements of statistical time series analysis while also addressing recent developments in research design and causal modeling. A distinguishing feature of the book is its integration of design and analysis of time series experiments. Readers learn not only how-to skills but also the underlying rationales for design features and analytical methods. ARIMA algebra, Box-Jenkins-Tiao models and model-building strategies, forecasting, and Box-Tiao impact models are developed in separate chapters. The presentation of the models and model-building assumes only exposure to an introductory statistics course, with more difficult mathematical material relegated to appendices. Separate chapters cover threats to statistical conclusion validity, internal validity, construct validity, and external validity with an emphasis on how these threats arise in time series experiments. Design structures for controlling the threats are presented and illustrated through examples. The chapters on statistical conclusion validity and internal validity introduce Bayesian methods, counterfactual causality, and synthetic control group designs. Building on the earlier time series books by McCleary and McDowall, Design and Analysis of Time Series Experiments includes recent developments in modeling, and considers design issues in greater detail than does any existing work. Drawing examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, the text is addressed to researchers and graduate students in a wide range of behavioral, biomedical and social sciences. It will appeal to those who want to conduct or interpret time series experiments, as well as to those interested in research designs for causal inference.

Design and Analysis of Time-Series Experiments

Gene V Glass,Victor L. Willson,John M. Gottman
Design and Analysis of Time Series Experiments Book PDF

Author : Gene V Glass,Victor L. Willson,John M. Gottman
Publisher : IAP
Page : 265 pages
File Size : 50,9 Mb
Release : 2008-10-01
Category : Education
ISBN : 9781607528517

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Design and Analysis of Time-Series Experiments by Gene V Glass,Victor L. Willson,John M. Gottman Pdf

Hailed as a landmark in the development of experimental methods when it appeared in 1975, Design and Analysis of Time-Series Experiments is available again after several years of being out of print. Gene V Glass, Victor L. Willson and John M. Gottman have carried forward the design and analysis of perhaps the most powerful and useful quasi-experimental design identified by their mentors in the classic Campbell & Stanley text Experimental and Quasi-experimental Design for Research (1966). In an era when governments seek to resolve questions of experimental validity by fiat and the label "Scientifically Based Research" is appropriated for only certain privileged experimental designs, nothing could be more appropriate than to bring back the classic text that challenges doctrinaire opinions of proper causal analysis. Glass, Willson & Gottman introduce and illustrate an armamentarium of interrupted time-series experimental designs that offer some of the most powerful tools for discovering and validating causal relationships in social and education policy analysis. Drawing on the ground-breaking statistical analytic tools of Box & Jenkins, the authors extend the comprehensive autoregressive-integrated-moving-averages (ARIMA) model to accommodate significance testing and estimation of the effects of interventions into real world time-series. Designs and full statistical analyses are richly illustrated with actual examples from education, behavioral psychology, and sociology.

Design and Analysis of Time Series Experiments

Richard McCleary,David McDowall,Bradley Bartos
Design and Analysis of Time Series Experiments Book PDF

Author : Richard McCleary,David McDowall,Bradley Bartos
Publisher : Oxford University Press
Page : 352 pages
File Size : 52,7 Mb
Release : 2017-05-11
Category : Social Science
ISBN : 9780190661588

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Design and Analysis of Time Series Experiments by Richard McCleary,David McDowall,Bradley Bartos Pdf

Design and Analysis of Time Series Experiments presents the elements of statistical time series analysis while also addressing recent developments in research design and causal modeling. A distinguishing feature of the book is its integration of design and analysis of time series experiments. Readers learn not only how-to skills but also the underlying rationales for design features and analytical methods. ARIMA algebra, Box-Jenkins-Tiao models and model-building strategies, forecasting, and Box-Tiao impact models are developed in separate chapters. The presentation of the models and model-building assumes only exposure to an introductory statistics course, with more difficult mathematical material relegated to appendices. Separate chapters cover threats to statistical conclusion validity, internal validity, construct validity, and external validity with an emphasis on how these threats arise in time series experiments. Design structures for controlling the threats are presented and illustrated through examples. The chapters on statistical conclusion validity and internal validity introduce Bayesian methods, counterfactual causality, and synthetic control group designs. Building on the earlier time series books by McCleary and McDowall, Design and Analysis of Time Series Experiments includes recent developments in modeling, and considers design issues in greater detail than does any existing work. Drawing examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, the text is addressed to researchers and graduate students in a wide range of behavioral, biomedical and social sciences. It will appeal to those who want to conduct or interpret time series experiments, as well as to those interested in research designs for causal inference.

Quasi-Experimentation

Charles S. Reichardt
Quasi Experimentation Book PDF

Author : Charles S. Reichardt
Publisher : Guilford Publications
Page : 382 pages
File Size : 43,5 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.

Design and Analysis of Ecological Experiments

Samuel M. Scheiner,Jessica Gurevitch
Design and Analysis of Ecological Experiments Book PDF

Author : Samuel M. Scheiner,Jessica Gurevitch
Publisher : Oxford University Press
Page : 432 pages
File Size : 50,8 Mb
Release : 2001-04-26
Category : Science
ISBN : 9780198030225

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Design and Analysis of Ecological Experiments by Samuel M. Scheiner,Jessica Gurevitch Pdf

Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice. The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.

A First Course in Design and Analysis of Experiments

Gary W. Oehlert
A First Course in Design and Analysis of Experiments Book PDF

Author : Gary W. Oehlert
Publisher : W. H. Freeman
Page : 600 pages
File Size : 46,8 Mb
Release : 2000-01-19
Category : Mathematics
ISBN : 0716735105

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A First Course in Design and Analysis of Experiments by Gary W. Oehlert Pdf

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.

Experimental and Quasi-Experimental Designs for Research

Donald T. Campbell,Julian C. Stanley
Experimental and Quasi Experimental Designs for Research Book PDF

Author : Donald T. Campbell,Julian C. Stanley
Publisher : Ravenio Books
Page : 84 pages
File Size : 51,5 Mb
Release : 2015-09-03
Category : Psychology
ISBN : 8210379456XXX

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Experimental and Quasi-Experimental Designs for Research by Donald T. Campbell,Julian C. Stanley Pdf

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.

Design and Analysis of Experiments

Douglas C. Montgomery
Design and Analysis of Experiments Book PDF

Author : Douglas C. Montgomery
Publisher : Wiley
Page : 0 pages
File Size : 51,8 Mb
Release : 2005
Category : Experimental design
ISBN : 0471661597

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Design and Analysis of Experiments by Douglas C. Montgomery Pdf

This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

The Design and Analysis of Computer Experiments

Thomas J. Santner,Brian J. Williams,William I. Notz
The Design and Analysis of Computer Experiments Book PDF

Author : Thomas J. Santner,Brian J. Williams,William I. Notz
Publisher : Springer
Page : 436 pages
File Size : 40,7 Mb
Release : 2019-01-08
Category : Mathematics
ISBN : 9781493988471

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The Design and Analysis of Computer Experiments by Thomas J. Santner,Brian J. Williams,William I. Notz Pdf

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

Quasi-Experimentation

Charles S. Reichardt
Quasi Experimentation Book PDF

Author : Charles S. Reichardt
Publisher : Guilford Publications
Page : 382 pages
File Size : 41,7 Mb
Release : 2019-07-29
Category : Social Science
ISBN : 9781462540242

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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. Comparing quasi-experiments to randomized experiments, Reichardt discusses when and why the former might be a better choice than the latter in the face of the contingencies that are likely to arise in practice. Modern methods 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. Adding to its discussion of prototypical quasi-experiments, the book also provides a complete typology of quasi-experimental design options to help the reader craft the best research design to fit the circumstances of a given study.

The Encyclopedia of Research Methods in Criminology and Criminal Justice, 2 Volume Set

J. C. Barnes,David R. Forde
The Encyclopedia of Research Methods in Criminology and Criminal Justice 2 Volume Set Book PDF

Author : J. C. Barnes,David R. Forde
Publisher : John Wiley & Sons
Page : 967 pages
File Size : 45,8 Mb
Release : 2021-09-08
Category : Social Science
ISBN : 9781119110729

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The Encyclopedia of Research Methods in Criminology and Criminal Justice, 2 Volume Set by J. C. Barnes,David R. Forde Pdf

The Encyclopedia of RESEARCH METHODS IN CRIMINOLOGY & CRIMINAL JUSTICE The most comprehensive reference work on research designs and methods in criminology and criminal justice This Encyclopedia of Research Methods in Criminology and Criminal Justice offers a comprehensive survey of research methodologies and statistical techniques that are popular in criminology and criminal justice systems across the globe. With contributions from leading scholars and practitioners in the field, it offers a clear insight into the techniques that are currently in use to answer the pressing questions in criminology and criminal justice. The Encyclopedia contains essential information from a diverse pool of authors about research designs grounded in both qualitative and quantitative approaches. It includes information on popular datasets and leading resources of government statistics. In addition, the contributors cover a wide range of topics such as: the most current research on the link between guns and crime, rational choice theory, and the use of technology like geospatial mapping as a crime reduction tool. This invaluable reference work: Offers a comprehensive survey of international research designs, methods, and statistical techniques Includes contributions from leading figures in the field Contains data on criminology and criminal justice from Cambridge to Chicago Presents information on capital punishment, domestic violence, crime science, and much more Helps us to better understand, explain, and prevent crime Written for undergraduate students, graduate students, and researchers, The Encyclopedia of Research Methods in Criminology and Criminal Justice is the first reference work of its kind to offer a comprehensive review of this important topic.

Interrupted Time Series Analysis

David McDowall,Richard McCleary,Bradley J. Bartos
Interrupted Time Series Analysis Book PDF

Author : David McDowall,Richard McCleary,Bradley J. Bartos
Publisher : Oxford University Press
Page : 240 pages
File Size : 41,7 Mb
Release : 2019-09-16
Category : Medical
ISBN : 9780190943974

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Interrupted Time Series Analysis by David McDowall,Richard McCleary,Bradley J. Bartos Pdf

Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. It provides example analyses of social, behavioral, and biomedical time series to illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. Additionally, the book supplements the classic Box-Jenkins-Tiao model-building strategy with recent auxiliary tests for transformation, differencing, and model selection. Not only does the text discuss new developments, including the prospects for widespread adoption of Bayesian hypothesis testing and synthetic control group designs, but it makes optimal use of graphical illustrations in its examples. With forty completed example analyses that demonstrate the implications of model properties, Interrupted Time Series Analysis will be a key inter-disciplinary text in classrooms, workshops, and short-courses for researchers familiar with time series data or cross-sectional regression analysis but limited background in the structure of time series processes and experiments.