Design and Analysis of Time Series Experiments develops methods and models for analysis and interpretation of time series experiments while also addressing recent developments in causal modeling. Unlike other time series texts, it integrates the statistical issues of design, estimation, and interpretation with foundational validity issues. Drawing on examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, this text addresses researchers and graduate students in a wide range of the behavioral, biomedical, and social sciences.
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Richard McCleary is a Professor at the University of California, Irvine with faculty appointments in Criminology, Law, and Society; Environmental Health Sciences; and Planning, Policy, and Design.
David McDowall is a Distinguished Teaching Professor in the School of Criminal Justice at the University at Albany, State University of New York.
Bradley J. Bartos is a Ph.D. Candidate in the School of Social Ecology at the University of California, Irvine.
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