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Proceedings of the 8Th International Blaise Users Conference IBUC 2003

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Proceedings of the 8Th International Blaise Users Conference IBUC 2003 Proceedings of the 8th International Blaise Users Conference IBUC 2003 Copenhagen May 21st - May 23rd, 2003 Proceedings of the 8th International Blaise Users Conference IBUC 2003 Printed by Statistics Denmark Address: Danmarks Statistik Sejrøgade 11 DK-2100 København Ø e-mail [email protected] www dst.dk 2 Preface This book contains the papers presented at the 8th International Blaise Users Conference held in Copenhagen, Denmark, on May 21st - 23rd, 2003. The confe- rence included three days of technical papers and presentations on the use of Blaise and related topics. The conference programme was planned and organized by the Scientific Commit- tee of the International Blaise Users Group. The members of the committee inclu- ded: • Vesa Kuusela, Statistics Finland (chair) • Leif Bochis, Statistics Denmark • Bill Connett, University of Michigan • Sal Gara, Statistics Canada • Lon Hofman, Statistics Netherlands • Jim O'Reilly, Westat, USA • Mark Pierzchala, Mathematica Policy Research • Tony Manners, Office of National Statistics, UK • Michael Haas, U.S. Bureau of the Census Statistics Denmark, as the host organization of the conference, has collected, edited and printed the proceedings. 3 Contents Metadata and Automatic Generation of Blaise Datamodels Blaise Survey Generator ................................................................................................... 7 Blaise Questionnaire Text Editor (Qtxt)........................................................................ 17 Automatic Upgrade of Production Blaise Instruments ................................................ 27 Standards for design of user interfaces Screen Layout Standards at Statistics Finland ............................................................. 39 Developing and updating screen layout and design standards .................................... 45 Developing an optimal screen layout for CAI ............................................................... 63 Screen Design Guidelines for Blaise Instruments ......................................................... 77 Design of Web Questionnaires Methodological guidelines for Blaise web surveys........................................................ 91 Applications of Blaise The usage of Blaise in an integrated application for the Births Sample Survey in CATI mode................................................................................................................. 125 Blaise at Statistics Netherlands..................................................................................... 137 Displaying Chinese Characters In Blaise..................................................................... 149 Data Quality and Testing Analyzing Audit Trails in the National Survey on Drug Use and Health (NSDUH) . 155 A Random Walk Application for Blaise Instruments................................................. 175 First steps along the Audit Trail................................................................................... 183 Post-processing and tabulation Creating Code to Convert Blaise to ASCII for SAS Input (Using the Blaise API within Visual Basic) ............................................................................................... 191 Extracting data from a large instrument using the API............................................. 199 4 Integration of multi mode surveys, Survey Management, Case Management The “Multiple Application Interface” with Blaise and Visual Basic......................... 205 Electronic Data Reporter.............................................................................................. 215 Integration of CAPI and CATI infrastructures at Statistics Canada ....................... 225 CATI and Organizational issues Blaise CATI at Mathematica ........................................................................................ 233 Cati Survey Management System ................................................................................ 241 Interactive training for the interviewers...................................................................... 251 Paper Forms and Blaise Blaise for Post-collection Data Editing ........................................................................ 255 The melting pot - practical experience of scanning paper forms............................... 263 Lessons learned on the development of the Unified Enterprise Survey.................... 265 Posters The American Time Use Survey Data Collection Instrument ................................... 269 Using non-Latin alphabets in Blaise.............................................................................. 281 Automated Dialing - What will it do for you?............................................................. 291 Appendix Developing CASI standards at Statistics Netherlands................................................ 295 Contacts .......................................................................................................................... 306 5 6 Metadata and Automatic Generation of Blaise Datamodels • Blaise Survey Generator ......................................................7 Carlo J.C. Vreugde, Jacques J.M.J. de Groot, Christiaan van ‘t Hoft, VNG, SGBO, StimulansZ, of the Netherlands • Blaise Questionnaire Text Editor (Qtxt)...........................17 Grayson Mitchell, Statistics New Zealand. • Automatic Upgrade of Production Blaise Instruments...27 Lilia Filippenko Joseph Nofziger & Gilbert Rodriguez, RTI International Blaise Survey Generator Any researcher can make a survey ’without writing Blaise code’. Carlo J.C. Vreugde, Jacques J.M.J. de Groot, Christiaan van ‘t Hoft, VNG, SGBO, StimulansZ, of the Netherlands 1. Introduction The question that was troubling me for some time has been answered: “Can anybody make a Blaise survey without writing any Blaise code?” This all started with one project that became larger during time. The Welfare Benchmark of the Netherlands is a project for the Dutch Municipalities to learn and improve their method of applying Municipal welfare programs. The Welfare Benchmark collects data from the Dutch Municipalities using Blaise programs to form a unique central database. The big challenge in 2003 is that this National project has expended itself to not just 1 Benchmark but to a total of 5 Benchmarks. With only 2 Blaise programmers this was an unthinkable task. How could we use Blaise at its maximum potential? The answer came with the development of the Blaise Survey Generator, the Excel Survey Generator, and the Blaise SPSS Generator: easy survey making code for non Blaise-users, namely our researchers. It is the development and implementation of these Generators with the use of Blaise and BCP program and all the procedures of creating a Survey and Survey- results that this paper addresses. We were confronted with the following (technical) aspects: easy Blaise use for the Researchers, easy survey making and remaking for the Researchers, easy Survey-question ordering, easy Survey-table making, easy Survey-routing, and easy Survey-results for the programmers. Finally, this paper will address which important elements made these Benchmarks so successful and the working relationship with the Central Bureau of Statistics Netherlands, which contributed to its successful implementation. 2. The target group The VNG is the national organization for Dutch municipalities. It contains the nonprofit agency StimulansZ that advises all the municipalities about handling the welfare grants from the government for its welfare recipients. With the help of SGBO (research and consultancy department of the Dutch Local Government Association,VNG) and CentERdata (research expert center of the University of Tilburg) it has made a Blaise Internet program for the Dutch municipalities. Dutch municipalities send their government official, who is responsible for the Welfare program, to a major meeting of StimulansZ. In large municipalities, this person will delegate the Benchmark project to other government officials but in regular municipalities they would have to enter their data through the use of Internet. Through this data, StimulansZ will measure long-term progress in achieving the Government strategic plan goals: municipal cooperation, collaboration, and a result-driven approach to problem solving. The benchmark results from the municipalities will be compared and the results will show how 7 compatible municipalities as a whole are doing, and by performance measurement systems, which seek to measure how a given municipality is performing. This was the first year that only the Internet could be used for data-entry. A lot of data has to be entered by the Dutch municipality that it becomes important for the government official to see an overview of al the entered data. Also with the use consistency tables that show a subtraction, addition of certain questions are necessary for accurate data entry. Otherwise the Welfare Benchmark would be a total failure. This year the government official could easily move from one chapter to another and from one question to another through the whole questionnaire. 3. Easy Blaise use for the Researchers: “Blaise Survey Generator” Imagine a very busy period and that there is a change in the research staff. A new researcher has just been introduced to your colleagues and you want him to write a data-entry program in Blaise immediately. At that moment you would give him the use of the ‘Blaise Survey Generator’. The new researcher is an expert in a certain research area and can therefore formulate
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