Instructions for Using Run-a-Study
Run-a-Study is a program that enables users to run three kinds of empirical studies of large, public company bankruptcy cases. For each kind, the program analyzes the data and shows the results in tables and graphs.
One-click study. These studies are each of a single variable, and include all of the cases in the BRD. It takes only a single click to run the study, and the user receives the results immediately. The default settings give you all available reports.
One-variable study. These studies are each of a single variable. The user can limit the study to include only certain categories of cases – such as recent cases, big cases, or cases filed in particular courts. To enter a limit, click on the blue link for the relevant variable. You will see a dialog box that lists your choices. Either check boxes for the categories of cases you want to keep, or drag the handles to indicate the date range of the cases you want to keep. Clicking on a box will toggle it checked or unchecked; clicking on an “All” box will toggle all of the choices checked or unchecked. When you are finished, click on “OK.” The program returns you to the study page, and you should see your selections just above the blue link. Click on other blue links to place additional limitations. Click on Run study and you should receive the study results immediately.
Two-variable study. These studies are each of the relationship between two variables – such as 363 sales and company survival, or refiling and disposition years. Users can customize the studies three ways.
1. Limit the cases included. Limitations must be made before choosing variables. Custom study, above, explains how to make limitations. You must uncheck a variable (by choosing some other variable) to make limitations to that variable. If you fail to uncheck it, you will be in the category design function. (See below.) Once you have limited the variable, you can recheck it. Your limitations will remain in effect.
2. Chose the variables. Check the radio buttons for the two variable you want to study. Your choice in Column 1 will define the column categories on the output. Your choice in Column 2 will define the row categories. If you are not sure which variable to choose in which column, run your study both ways to see the results of each.
3. Design the categories. The program automatically removes the cases that are missing data for either of the two variables you selected. The program also automatically divides the cases into two default categories for each variable. Some variables have only two categories, so no further adjustment is possible. Other variables have three or more categories. For the latter you can group the variable subcategories into two categories of your choosing. First choose the variable by clicking on one of its radio buttons. Then click on the blue link for the variable. You will see a dialog box that allows you to choose the subcategories to include in each of two categories. You can group the subcategories differently from the default settings, you can eliminate subcategories from the default, or you can do both at the same time.
Run study. The Run study button appears at the bottom of the study screens. If you click on the Run study button, there should be no more than a few seconds delay before the study results appear on your screen.
Modify study. The Modify study button appears at the top left of the study screens. Clicking on it will return you to the study screen. The settings will remain as you chose them. Make any changes you want, and rerun your study.
New study. The New study button appears to the right of the Modify study button. Clicking on it will restore the default settings and return you to the study screen.
The BRD has been supported by grants from these organizations:
In funding the Success Modeling Project, these organizations do not endorse or express any opinion about the approach used by the project, or any conclusions, opinions, or report of any research results expressed in or disseminated by the project.
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© 2005-2016 Lynn M. LoPucki and UCLA School of Law