Showing mean values in a grid cross-tabulation
A grid cross-tabulation may be used to calculate the mean of a large number of variables broken down by the codes of one or more others. For example, in the Crocodile Rock Cafe survey it might be required to see how the mean service ratings differ between male and female respondents. Click to open the […]
Tables and charts showing means and differences
Tables and charts of means and differences can be built. For example, in the Crocodile Rock Cafe survey it might be required to see how much is spent by men and women of different age groups in comparison with each other. This can be either comparing men and women of the same age group or […]
Tables and charts showing means and significances
The significance is calculated by comparing the mean of one category with another using the t-test. The t-test establishes the significance of the fact that the mean for a particular cell is greater than, or less than, the mean of a reference cell. The reference cell may be the analysis base (the mean of all […]
Analyses of mean values
Tables, charts and Maps of mean values can be built. Maps can only be used to display a single row or column of data. The example describes how to display a table using the data in the Crocodile Rock Cafe survey showing the average amount spent (Q5) broken down by frequency of visit (Q2) and […]
Setting the options for Significance (t-test)
You can control the way t-tests and U-tests are calculated by changing the figures in the Summary Statistics tab of the Analysis Definition dialog. If you want these figures to be the default values for the survey, you must set them in the Analysis tailoring dialog. This also has a Summary Statistics tab. You open […]
Using Significance (t-test) in tables
The Significance (t-test) allows us to compare the significance of the mean of each column of data with the significance of the mean of the base. For example, in the Crocodile Rock Cafe survey it might be required to see whether there is a significant difference in perception of speed of service between different age […]
Setting the options for t-tests and U-tests
You can control the way t-tests and U-tests are calculated by changing the figures in the Summary Statistics tab of the Analysis Definition dialog. If you want these figures to be the default values for the survey, you must set them in the Analysis tailoring dialog. This also has a Summary Statistics tab. You open […]
Using U-tests in tables
In the Crocodile Rock Cafe survey, the speed of service,Q6a is rated by respondents in various age groups, Q11. The U test can be used to identify differences between the ratings for the different age groups. Click to open the Analysis Definition dialog to build a table. Specify the Analysis variable for the table as […]
Using t-tests in tables
The t-test is used to compare two mean scores to see if the difference between them is statistically significant. A table is set up with mean scores applied. The level of confidence between the mean scores for two different groupings can then be displayed by using a t-test. For example, in the Crocodile Rock Cafe […]
Calculating median scores
The following example uses the Crocodile Rock Cafe Survey. Question 6a is an attitude questions using a rating scale of very good to very poor coded 1 to 5. Click to display the Analysis Definition dialog box. Specify the Analysis as Q6e, Choice of food. Specify the Break as Q11, Age range. Click on the […]