Descriptor
| Least Squares Statistics | 2 |
| Mathematical Models | 2 |
| Multiple Regression Analysis | 2 |
| Correlation | 1 |
| Quasiexperimental Design | 1 |
| Trend Analysis | 1 |
Author
| Cohen, Jacob | 1 |
| Wasik, John L. | 1 |
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| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
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Peer reviewedWasik, John L. – Educational and Psychological Measurement, 1981
The use of segmented polynomial models is explained. Examples of design matrices of dummy variables are given for the least squares analyses of time series and discontinuity quasi-experimental research designs. Linear combinations of dummy variable vectors appear to provide tests of effects in the two quasi-experimental designs. (Author/BW)
Descriptors: Least Squares Statistics, Mathematical Models, Multiple Regression Analysis, Quasiexperimental Design
Peer reviewedCohen, Jacob – Educational and Psychological Measurement, 1980
When sample sizes and/or X intervals are unequal, the analysis of variance computations for trend analysis become quite complicated. This article shows how multiple regression/correlation analysis may be applied in order to accomplish with great simplicity trend analysis under "irregular" conditions. (Author/RL)
Descriptors: Correlation, Least Squares Statistics, Mathematical Models, Multiple Regression Analysis
