Web Survey Bibliography
Immense reform efforts is going on in . In particular, the so called Hartz reforms aim to improve the efficiency of the Federal Employment Agency (BA), and its local departments. Amongst other things this requires measures for the efficiency of the large variety of labor market policy programs financed by the Agency. In the Hartz reforms many of the evaluation projects are based on the IEB data source. The IEB (Integrierte Erwerbsbiografien) merges data from different data sources. The current version includes process data from the following administrative records:
1. BeH: Employment spells from social security data records,
2. LeH: Unemployment spells for registered unemployed persons receiving unemployment insurance payments (Arbeitslosengeld), stately financed unemployment assistance (Arbeitslosenhilfe),
3. MTG: Spells of participation in labor market programs, and
4. ASU: Search spells for people registered as unemployed and searching for a job.
Since the assignment to any of the possible treatments typically is not based on a random process, complications and corrections have to be considered before drawing causal inference based on these data. The particular question we are confronted with is: Which kind of treatment is the most effective and efficient one for each person registered as unemployed? This requires knowledge about potential outcomes – how would each individual’s employment history had evolved under different programs?
Generally, approaches to predict the outcomes of several labor market programs are known as targeting systems. In this talk, we will first describe the magnitude of the problem and then previous attempts to address it. This includes two systems that have been suggested for a use as Targeting Systems throughout during the last years. According to complications with the existing approaches a new treatment effect and prediction system, called TrEffeR, will be proposed. TrEffeR analyzes, which program should be assigned to a certain unemployed person and what causal effect a program will have for his future employment history.
Web survey bibliography - 2005 (76)
- The ethics of research using electronic mail discussion groups; 2005; Kralik, D., Warren, J., Koch, T., Pignone, G., Price, K.
- The Analyses of Domestic Study about Internet Survey; 2005; Rui, L., Tie-ying, S.
- Controlling the Baseline Speed of Respondents: An Empirical Evaluation of Data Treatment Methods of...; 2005; Mayerl, J.
- Determinanten der Rücklaufquote in Online-Panels; 2005; Batanic, B., Moser, K.
- On the cost-efficiency of probability sampling based mail surveys with a Web response option; 2005; Werner, P.
- Expert workshop on mixed mode data collection in comparative social surveys; 2005; Roberts, C.
- The Effect Of A Simultaneous Mixed-Mode (Mail And Web) Survey On Respondent Characteristics And Survey...; 2005; Brennan, M.
- The total survey error approach. A guide to the new science of survey research; 2005; Weisberg, H. F.
- The professional respondent problem in online panel surveys today; 2005; Fulgoni, G.
- Satisficing behavior in online panelists; 2005; Downes-Le Guin, T.
- Reading behavior in the digital environment: Changes in reading behavior over the past ten years; 2005; Liu, Z.
- Rating versus comparative trade-off measures. Trending changes in political issues across time and predictive...; 2005; Thomas, R. K., Behnke, S., Johnson, Al., Sanders, M.
- Publication bias: Recognizing the problem, understanding its origins and scope, and preventing harm; 2005; Dickersin, K.
- Panel proliferation and quality concerns; 2005; Faasse, J.
- Gricean effects in self-administered survey. Ph.D. Dissertation; 2005; Yan, T.
- Drop-down boxes, radio buttons, or fill-in-the-blank? Web survey scale-type effects; 2005
- Does weighting for nonresponse increase the variance of survey means?; 2005; Little, R. J., Vartivarian, S.
- Big scale observations gathered with the help of client side paradata; 2005; Haraldsen, G., Kleven, O., Sundvoll, A.
- User Interface Design and Evaluation ; 2005; Stone, D., Jarrett, C., Woodroffe, M., Minocha, S.
- Adding Value to Data Through Improved Access. The Case for Web Portals; 2005; Baker, R. P.
- Multi-Mode Research and Data Linkage. Theoretical and Practical Advice; 2005; Terhanian, G.
- Architectural Design of a Survey Questionnaire and Respondent Data Repository. Practical Considerations...; 2005; Cookson, P., Sobell, J.
- Developing and validating a nursing website evaluation questionnaire; 2005; Tsai, S. - L., Chai, S.-K.
- Workaround: Site’s surveys beat pop-up blockers, yield responses; 2005; Arnold, C.
- The Story of Subject Naught: A Cautionary but Optimistic Tale of Internet Survey Research; 2005; Konstan, J. A., Ross, M. W., Rosser, B. R. S., Stanton, J. M., Edwards, W. M.
- Standards in Online Surveys. Sources for Professional Codes of Conduct, Ethical Guidelines and Quality...; 2005; Kaczmirek, L., Schulze, N.
- Computer adaptive testing; 2005; Gershon, R. C.
- Ego control and ego-resiliency: Generalization of self-report scales based on personality descriptions...; 2005; Block, J., Funder, D. C., Letzring, T. D.
- The Web experiment list: A Web service for the recruitment of participants and archiving of Internet...; 2005; Reips, U. -D., Lengler, R.
- Survey of substance use among high school students in Taipei: Web-based questionnaire versus paper-and...; 2005; Wang, Y. C., Lee, C. M., Lew-Ting, C. Y., Hsiao, C. K., Chen, W. J.
- Web Surveys. A Brief Guide on Usability and Implementation Issues; 2005; Kaczmirek, L.
- An assessment of measurement invariance between online and mail surveys ; 2005; Deutskens, E., de Ruyter, K., Wetzels, M.
- E-mail versus Web survey response rates among health education professionals; 2005; Kittleson, M. J., Brown, S. L.
- Toward An Open-Source Methodology: What We Can Learn From The Blogosphere; 2005; M.
- Aux Abonnes Absents: Liste Rouge Et Telephone Portable Dans Les Enquetes En Population Generale Sur...; 2005; Beck, F., ., Peretti-Watel, P.
- Web Versus Paper Questionnares: A Design and Functionality - Comparison; 2005; Jones, Ja., Fraser, C., Dowling, Z.
- Web Surveys and the new Disability Discrimination Act; 2005; Macer, T.
- Mixed-mode Surveys Using Mail and Web Questionnaires; 2005; Meckel, M., Baugh, P., Walters, D.
- Sampling procedure, questionnaire design, online implementation; 2005; Jackob, N., Arens, J., Zerback, T., Jowell, R., de Rouvray, C.
- Simple Approaches to Estimating the Variance of the Propensity Score Weighted Estimator Applied on Volunteer...; 2005; Isaksson, A., Lee, S., de Rouvray, C.
- Simple Approaches to Estimating the Variance of the Propensity Score Weighted Estimator Applied on Volunteer...; 2005; Isaksson, A., Lee, S.
- Alternative Modes for Health Surveillance Surveys: An Experiment with Web, Mail, and Telephone; 2005; Link, M. W., Mokdad, A.
- An Experimental Comparison Of Web And Telephone Surveys; 2005; Fricker, S., Galesic, M., Tourangeau, R., Yan, T.
- Organizational Virtual Communities: Exploring Motivations Behind Online Panel Participation; 2005; Daugherty, T., Lee, W.-N., Gangadharbatla, H., Kim, K., Outhavong, S.
- Promoting Uniform Question Understanding in Today's and Tomorrow's Surveys; 2005; Conrad, F. G., Schober, M. F.
- Is a Web survey as effective as a mail survey? A field experiment among computer users; 2005; Kiernan, N. E., Kiernan, M., Oyler, M. A., Gilles, C.
- The effect of personalization on response rates and data quality in web surveys; 2005; Heerwegh, D., Vanhove, T., Matthijs, K., Loosveldt, G.
- When Methodology Interferes With Substance; 2005; Schoen, H., Faas, T.
- Web-based and Mailed Questionnaires: A Comparison of Response Rates and Compliance; 2005; Baelter, K., Balter, O., Fondell, E., Trolle-Lagerros, Y.
- Bleeding Edge or Proven Technology? The Fact and the Fiction of Mobile Survey Computing; 2005; Cameron, M. R.