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Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuis

McCleary and Hay have made time series analysis techniques -- the Box-Jenkins or ARIMA methods -- accessible to the social scientist. Rejecting the dictum that

"This book focuses on fundamental elements of time-series analysis that social scientists need to understand to employ time-series analysis for their research a

Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written f

Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. It provides example analyses