Descriptor
| Data Analysis | 2 |
| Evaluation Methods | 2 |
| Mathematical Models | 2 |
| Research Design | 2 |
| Control Groups | 1 |
| Experimental Groups | 1 |
| Graphs | 1 |
| Hypothesis Testing | 1 |
| Intervention | 1 |
| Multivariate Analysis | 1 |
| Research Methodology | 1 |
| More ▼ | |
Source
| Evaluation Review | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedMandell, 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 reviewedAlgina, 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


