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| Autor/in | Bower, Cathleen |
|---|---|
| Titel | Analysis of Complex Intervention Effects in Time-Series Experiments. |
| Quelle | (1975), (19 Seiten)
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| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Correlation; Data Analysis; Economics; Education; Goodness of Fit; Intervention; Least Squares Statistics; Matrices; Psychology; Regression (Statistics); Research Design; Research Methodology; Research Tools; Statistical Analysis; Statistical Data; Trend Analysis |
| Abstract | An iterative least squares procedure for analyzing the effect of various kinds of intervention in time-series data is described. There are numerous applications of this design in economics, education, and psychology, although until recently, no appropriate analysis techniques had been developed to deal with the model adequately. This paper presents and develops a complex example of time-series experiments using simulated data with the intent of illustrating the analytic power of the technique for educational methodologists in a number of substantive fields. The simulated data were developed to conform to an autoregressive integrated moving averages (ARIMA) model, and three intervention effects were built into the series. The first intervention exerted a constant effect; the second damped the effect, and the third caused a general drift (trend shift) of the data points. The methodology and results of the simulation--including the simulation data--are provided. (Author/DGC) |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
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