Complex Samples General Linear Model Statistics
Model Parameters. This group allows you to control the display of statistics related to the model parameters.
- Estimate. Displays estimates of the coefficients.
- Standard error. Displays the standard error for each coefficient estimate.
- Confidence interval. Displays a confidence interval for each coefficient estimate. The confidence level for the interval is set in the Options dialog box.
- T test. Displays a t test of each coefficient estimate. The null hypothesis for each test is that the value of the coefficient is 0.
- Covariances of parameter estimates. Displays an estimate of the covariance matrix for the model coefficients.
- Correlations of parameter estimates. Displays an estimate of the correlation matrix for the model coefficients.
- Design effect. The ratio of the variance of the estimate to the variance obtained by assuming that the sample is a simple random sample. This is a measure of the effect of specifying a complex design, where values further from 1 indicate greater effects.
- Square root of design effect. This is a measure of the effect of specifying a complex design, where values further from 1 indicate greater effects.
Model fit. Displays R ^{2} and root mean squared error statistics.
Population means of dependent variable and covariates. Displays summary information about the dependent variable, covariates, and factors.
Sample design information. Displays summary information about the sample, including the unweighted count and the population size.
To Obtain Statistics for Complex Samples General Linear Model
This feature requires the Complex Samples option.
- From the menus choose:
- Select a plan file. Optionally, select a custom joint probabilities file.
- Click Continue.
- In the Complex Samples General Linear Model dialog box, click Statistics.
- Select the statistics that you want to display.