Web Survey Bibliography
This final article of the special issue on survey training outlines the future of survey methodology education. While traditional academic programs will certainly play a major role in training survey specialists, we also see a growing role for a variety of other forms of continuing professional education. Flexible formats such as short courses, webinars, and other online programs and courses (e.g., massive open online courses or MOOCs) will make it easier for survey researchers to update their skills throughout their careers. Survey researchers of the future face the challenges of staying up-to-date with survey methodology findings and applying them to the increasingly-complex survey environment. This will likely involve additional interdisciplinary connections, particularly in new fields like big data and data science. In order to harness their potential in survey data collection, the survey researcher of the future must use a range of training options to keep his or her knowledge base fresh.
Web survey bibliography - Kolenikov, S. (7)
- Influences on Item Response Times in a Multinational Web Survey ; 2016; Phillips, B. T.; Kolenikov, S.; Howard Ecklund, E.; Ackermann, A.; Brulia, A.
- Mode Effects in American Trends Panel: Bayesian Analysis of a Cross-classified Item-person Mixed Model...; 2016; Gill, Je.; Kolenikov, S.; McGeeney, K.
- Evaluating Three Approaches to Statistically Adjust for Mode Effects; 2016; Kolenikov, S.; Kennedy, C.
- Future Training of Survey Methodologists; 2015; Kolenikov, S., Jans, M., O'Hare, B. C., Fricker, S.
- Influences on Response Latency in a Web Survey; 2015; Ackermann, A.; Cheng, H. W.; Howard Ecklund, E.; Kolenikov, S.; Phillips, B. T.
- Nonresponse Analysis and Adjustment in the Follow- Up Study of a National Cohort of Gulf War And Gulf...; 2015; Dursa, E.; Hammer, H.; Kolenikov, S.; Schneiderman, A. I.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.