This page will contain a growing number of links to working QPL web questionnaire applications. Some of them will be copies of questionnaires that have been used on GAO evaluations and others will simply demonstrate various features or provide samples of different ways to approach QPL programming.

Check back here now and then to see new demonstrations!

All of the demonstration applications are set up on this site to run anonymously. From the project home page you will go directly into a new questionnaire. While this is one of several QPL log in options, all of our real-life examples originally required each respondent to enter a user name and password that we emailed to log into his or her copy of a questionnaire. This also allows each respondent to log in any number of times and continue where he or she they left off until his or her account expires at the close of the survey period.

Jim's Feature Demo

This demonstration was written by Jim Loschiavo, GAO, and provides a sample of boiler plate instructions that GAO uses in its web surveys that you may want to emulate on your surveys. It also demonstrates some of the different ways questions may be formatted, and how individual questions may be combined to create "check-all-that-apply and fill-in the blank if you have an 'Other'" types of questions.

This demonstration has been specially modified so that you can jump back and forth between a question in the source code and in the generated questionnaire by clicking on the question name link. The question names are displayed on the left in the generated questionnaire (they are not displayed when you deploy questionnaire project). The are displayed after the QUESTION command in the source program. Also, to make this work, the data validation functions that normally run in the questionnaire display have been disabled and the questionnaire is not connected to a database. Finally, the thick, blue, horizontal lines show where the questionnaire will be split into separate pages when it is deployed on a web server.

Source code  Source QPL program code

Survey of State and Local Offices Administering Section 521 Rental Assistance

This survey was written by Alison Martin and Brandon Haller, GAO, and was deployed in the Spring of 2004. The link above will take you a test copy of the questionnaire (i.e., not linked to a database). Page breaks in the live survey are indicated here by thick, blue horizontal lines. Since all the pages are shown here together, the questionnaire may take a moment to load in your browser.

The Rural Housing Service (RHS) of the U. S. Department of Agriculture (USDA) provides rental subsidies through the Section 521 rental assistance program to about 250,000 low-income rural tenants living in federally subsidized properties. GAO surveyed RHS state and local offices that were identified as having rental assistance responsibilities by their respective State Directors or the appropriate designee. GAO identified 248 state and local offices with rental assistance responsibilities. These consisted of 46 RHS state offices and 202 local offices in existence as of December 2003. To ensure security and data integrity, GAO provided each of the 248 offices with a web address, a unique identification number, and a password to allow the office access to one questionnaire.

Source code Source QPL program code
Email Activation email message (text format)
Email Activation email message (HTML format)
Email Activation email message (HTML format source code)
Email First follow-up email message
Email Second follow-up email message
Report GAO report based on this survey (GAO-04-937) Adobe PDF format
Results Summary of survey results (GAO-04-978SP)

Survey of Recreational Fee Demonstration Program Officials

This survey was written by Luann Moy, GAO, and was deployed in the Spring of 2001 to 367 employees of the Bureau of Land Management, U.S. Fish and Wildlife Service, National Park Service, and the U.S. Forest Service. While there are only 99 numbered questions, it actually contains 202 separate input fields. Several of the fields are "hidden." Data for these fields were pre-loaded using an SQL script before the survey was launched. Personalized information from these fields is displayed to a respondent when he or she opens his or her questionnaire. (See questions REGION, PROJECT, COORD, EMAIL, and HOST.)

Source code Source QPL program code
Email Activation email message (text format)
Email Activation email message (HTML format)
Email Activation email message (HTML format source code)
Email First follow-up email message
Email Second follow-up email message
Report GAO report based on this survey (GAO-02-10) Adobe PDF format
Results Summary of survey results (GAO-02-88SP) Adobe PDF format

Questionnaire for State Department Public Affairs Officers

This survey was written by Monica Wolford, GAO, and was deployed in the Spring of 2003. The study population was based on information received from the Office of the Undersecretary for Public Diplomacy and Public Affairs, particularly concerning which missions to international organizations and major consulates should be included in the survey. In all, we sent the survey to the 156 individuals we identified as our study population and received completed surveys from 118 of these, for a 76 percent response rate.

The link to this survey that is included on this page is to the HTML-only version that Monica developed on her desktop. While the server-side automation is not implemented, the look and feel of the instrument is demonstrated without first needing to be installed and run from a web server. That is, it looks and acts like the real thing with the following exceptions:

When she was ready to deploy the live version of her survey, Monica clicked on the PHP button in HomeSite to build the web server version of her files, including a MySQL script that builds the supporting database tables.

Source code Source QPL program code
Email Activation email message (HTML format)
Email First follow-up email message (HTML format)
Email Second follow-up email message (HTML format)
Report GAO report based on this survey (GAO-03-951) Adobe PDF format

To be continued...

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