Analysis Of Quasi-Experimental Time-Series Designs
Bibliographic Data
| ID | 19290339 |
|---|---|
| Authors | Hariharan Swaminathan (0000-0003-2732-9909), James Algina (0000-0001-6924-655X) |
| Year | 1977 |
| Volume | 12 |
| Issue | 1 |
| Pages | 111-131 |
| Publication date | 1977-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1207/s15327906mbr1201_9 |
| PMID | 26804149 |
| OpenAlex | W2051802236 |
| Language | EN |
| Citations received | 3 |
Multivariate procedures, based on the general linear hypothesis, are outlined for inferring treatment effects in quasi-experimental time-series designs. These procedures, which take into account the dependent nature of the data obtained in time-series experiments and which require comparing the fitted regression curves for the pre-treatment and post-treatment observations, provide exact tests of significance for the various hypotheses of interest
Design of experiments · Econometrics · Multivariate statistics · Series (stratigraphy) · Statistical hypothesis testing · Statistics · Time series · Computer Science · Mathematics · Optimal Experimental Design Methods
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,06 |
| Citation span | 1979 - 2012 (34) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |