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

Describes ARIMA or Box Tiao models, widely used in the analysis of interupted time series quasi-experiments, assuming no statistical background beyond simple co

"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

Design and Analysis of Time Series Experiments develops methods and models for analysis and interpretation of time series experiments while also addressing rece

Spline Regression Models shows how to use dummy variables to formulate and estimate spline regression models both in situations where the number and location of