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Peer reviewed Peer reviewed
Mandell, Marvin B.; Bretschneider, Stuart I. – Evaluation Review, 1984
The authors demonstrate how exponential smoothing can play a role in the identification of the intervention component of an interrupted time-series design model that is analogous to the role that the sample autocorrelation and partial autocorrelation functions serve in the identification of the noise portion of such a model. (Author/BW)
Descriptors: Data Analysis, Evaluation Methods, Graphs, Intervention
Peer reviewed Peer reviewed
Algina, James; Olejnik, Stephen F. – Evaluation Review, 1982
A method is presented for analyzing data collected in a multiple group time-series design. This consists of testing linear hypotheses about the experimental and control group-means. Both a multivariate and a univariate procedure are described. (Author/GK)
Descriptors: Control Groups, Data Analysis, Evaluation Methods, Experimental Groups