Pre-coding answers
The literal answers can be assigned codes to place them into defined categories. This information is available when analysing the respondents’ information. The example below shows coding for the free text for Other food item. Click to display the Variables window. Click to add a new variable. Specify the Variable details: Name: Q4b Label: Other […]
Combining literal responses with a coded question
Click to display the Variables window. Click to add a new variable. Specify the Variable Details: Name: V2 Label: Items ordered Type: Derived (the variable will derive its data from existing variables) Response: Multiple (each respondent could fall into more than one of the new codes) Specify the Code Details: Ensure that the variable from […]
Categorising literal responses
Click to display the Variables window. Select the variable which will act as a source to the derived variable. Double click the variable or click to open the Variable Details dialog. Click to display the Pattern drop-down. If it is not already selected choose lower case as the pattern. Save the variable and return to […]
Exporting literal responses
A list of Literal Responses can be exported to a word processing package for inclusion in a report. In the following example a list of Other items ordered in the Crocodile Rock Cafe Survey will be exported to the word processing package. Click to display the Data Entry window for the current survey. Select the […]
Printing literal responses
Click to display the Data Entry window for the current survey. Click to display the Print Data dialog box. Specify a Title for the report if required. In the Filter field type the specification to select the cases to be printed: For example, to print only those cases where a response has been given to […]
Creating a list of literal responses
You can create a list of literal responses using the List analysis type. Using a derived literal response You can use derived literals to enter other text in your list. You can also convert dates, times and quantity variables to text in derived literals. For example, in the Crocodile Rock Cafe survey supplied with Snap […]
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 […]