Workspace Node: t-Test, Single Sample - Results - Options Tab
In the t-Test, Single Sample node dialog box, under the Results heading, select the Options tab to access the following options.
Element Name | Description |
---|---|
Reference values | When more than one variable has been selected, use the options in the Reference values group box to specify whether to test all variables against the same hypothesized mean, or to test each variable against a different (user-specified) mean. |
Test all means against | Select this option button and specify the reference value in the corresponding edit field to test each variable against the same reference value (or hypothesized mean). Note that this option performs a separate test for each variable. To test the hypothesis that the means for all variables are equal, use ANOVA/MANOVA. |
Test means against different user-defined constants | Select this option button to specify different reference values for each t-test (or variable). Note that you will need to click the Specify button to do this (see below). |
Specify | Click the Specify button to display the Select reference values dialog box, in which you specify a separate reference value for each selected variable. Note that the Test means against different user-defined constants option button must be selected for this button to be available. |
Display long variable names | Select this check box to display the long variable names (if any, see Variable Specs Editor) along with the short names in the first column of the results spreadsheet. If no long variable names have been specified for any of the selected variables, the setting of this check box will have no effect. |
Compute conf. limits; Interval | Select this check box to report the confidence limits for the mean of each selected variable in the results spreadsheet. Use the
Interval field to specify the confidence level to be reported (by defaults 95%).
Multivariate test (Hotelling's T2). Select this check box to add the Hotelling T2 test to the Header of the results spreadsheet. The Hotelling T2 test is a multivariate test for differences in means. This test will only be computed if more than one variable was selected. Because this test is based on the within-group variance/covariance matrices for the variables, it will automatically exclude missing data casewise from the computations. That is, this test will be computed only for cases that have complete data for all selected variables. |
p-value for highlighting | The default p-value for highlighting is .05. You can adjust this p-value by entering a new value in the edit box or using the microscrolls. For more details on p-value, see Elementary Concepts. |
Options for Box-Whisker plots | In this group box, select the desired type of Box-Whisker plot. |
Median/Quartiles/Range | This box plot describes the central tendency of the variable in terms of the median of the values (represented by the smallest box in the plot). The spread (variability) in the variable values is represented in this plot by the quartiles (the 25th and 75th percentiles, larger box in the plot) and the minimum and maximum values of the variable (the "whiskers" in the plot). |
Mean/SE/SD | Here, the smallest box in the plot represents the mean (central tendency) of the variable, while the dispersion (variability) is represented by ± 1 times the standard error (large box) and ± 1 times the standard deviation about the mean ("whiskers"). |
Mean/SD/1.96*SD | This plot will show the mean (small box in the plot) of the variable surrounded by a larger box (± 1 times the standard deviation). If the distribution is normal, then the "whiskers" in this plot represent a "95% confidence interval" defined as the variable mean ± 1.96 times the variable standard deviation. |
Mean/SE/1.96*SE | Once again, this plot will show the mean (small box in the plot) of the variable surrounded by a larger box. However, in this plot, the larger box represents ± 1 times the standard error. If the distribution is normal, then the "whiskers" in this plot represent a "95% confidence interval" defined as the variable mean ± 1.96 times the variable standard deviation.
Options / C / W. See Common Options. |
OK | Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results are placed in the Reporting Documents after running (updating) the project. |
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