A user’s manual is available here that demonstrates how to use WEB GESCA.

D. Data

The page ‘Data’ is the first page when you visit WEB GESCA. The first step for running WEB GESCA is upload your data, which are already prepared as described in Section 2.b. You can also download sample data by clicking the button.

  1. Upload data file
    – Click the ‘Browse’ button and select a data file of your choosing.

    Figure 7. Upload data file (step 1)

    – Select your data file and click the open button in the window. If the file is successfully uploaded, you will see the first six cases of the data. The Model menu will also become available in the left-hand sidebar.

    Figure 8. Upload data file (step 2)



  2. Input specifications
    Once the data is uploaded, you can specify your input data on the right-hand side of the Data page. The default set up is ‘data has header’ and ‘it is separated by comma.’ If your data is not formatted as required, the data will not appear appropriately in the ‘First 6 cases of the data’ area. Note that if you uncheck the checkbox for header because your data doesn’t contain the names of indicators, the program will assign arbitrary names to them.

    Figure 9. Input specification


  3. Missing Data
    WEB GESCA currently provides users with three options for dealing with missing observations: (1) listwise deletion, (2) mean substitution, and (3) least-squares imputation (refer to Hwang & Takane, 2014, Chapter 3). Users can select one of the options in the box of “Missing Data” on the right side of the page. Once users select an option for missing data, another box “Missing value identifier” will appear, where users input a numeric value that indicates missing observations in their data. The default value indicating missing observations is -9999. However, users can put any value of their choosing.

    Figure 10. Handling missing data


  4. Analysis Type
    If you want to conduct a multi-group analysis, choose ‘Multi-group analysis’.  Once you check the check box, all variables’ names of your data will appear. Please select a variable that you want to use as a grouping variable from those listed.

    Figure 11. Options for multi-group analysis