Design And Analysis Of Time Series Experiments
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Design And Analysis Of Time Series Experiments
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Author : Gene V. Glass
language : en
Publisher: Information Age Pub Incorporated
Release Date : 2008
Design And Analysis Of Time Series Experiments written by Gene V. Glass and has been published by Information Age Pub Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
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
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Author : Richard McCleary
language : en
Publisher:
Release Date : 2017
Design And Analysis Of Time Series Experiments written by Richard McCleary and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Experimental design categories.
'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
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Author : Richard McCleary
language : en
Publisher: Oxford University Press
Release Date : 2017-05-11
Design And Analysis Of Time Series Experiments written by Richard McCleary and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-11 with Social Science categories.
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 Experiment
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Author : Gene V. Glass
language : en
Publisher:
Release Date : 1975
Design And Analysis Of Time Series Experiment written by Gene V. Glass and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with categories.
The Design And Analysis Of Research Studies
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Author : Bryan F. J. Manly
language : en
Publisher: Cambridge University Press
Release Date : 1992-05-14
The Design And Analysis Of Research Studies written by Bryan F. J. Manly and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-05-14 with Education categories.
This book provides research workers with the statistical background needed in order to collect and analyze data in an intelligent and critical manner. Key examples and case studies are used to illustrate commonly encountered research problems and to explain how they may be solved or even avoided altogether. Professor Manly also presents a clear understanding of the opportunities and limitations of different research designs, as well as an introduction to some new methods of analysis that are proving increasingly popular. Topics covered include: the differences between observational and experimental studies, the design of sample surveys, multiple regression, interrupted time series, computer intensive statistics, and the ethical considerations of research. In the final chapter, there is a discussion of how the various components of a research study come together.
Design And Analysis Of Time Series Experiments
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Author : Gene V Glass
language : en
Publisher: IAP
Release Date : 2008-10-01
Design And Analysis Of Time Series Experiments written by Gene V Glass and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-01 with Education categories.
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 Clinical Experiments
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Author : Joseph L. Fleiss
language : en
Publisher: John Wiley & Sons
Release Date : 2011-01-25
Design And Analysis Of Clinical Experiments written by Joseph L. Fleiss and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-25 with Mathematics categories.
First published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Coverage is limited to experimental comparisons of treatments, or in other words, clinical studies in which treatments are assigned to subjects at random.
Single Case Research Design And Analysis Psychology Revivals
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Author : Thomas R. Kratochwill
language : en
Publisher: Routledge
Release Date : 2015-04-10
Single Case Research Design And Analysis Psychology Revivals written by Thomas R. Kratochwill and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-10 with Psychology categories.
Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.
Statistics For Experimenters
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Author : George E. P. Box
language : en
Publisher: Wiley-Interscience
Release Date : 1978-07-06
Statistics For Experimenters written by George E. P. Box and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978-07-06 with History categories.
Introduces the philosophy of experimentation and the part that statistics plays in experimentation. Emphasizes the need to develop a capability for statistical thinking by using examples drawn from actual case studies.
Quasi Experimentation
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Author : Charles S. Reichardt
language : en
Publisher: Guilford Publications
Release Date : 2019-09-02
Quasi Experimentation written by Charles S. Reichardt and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-02 with Business & Economics categories.
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.