Web Survey Bibliography
Title Exploring the Gig Economy Using a Web-Based Survey: Measuring the Online 'and' Offline Side Work-for-Pay Activity+
Author Robles, B. J.; McGee, M.
Year 2016
Access date 17.07.2017
Abstract Given the ongoing changes to the alternative, informal and contingent work arrangements of many American workers, the usual employment data sources such as the CPS and the CES are limited in measuring the new emergence of 'gig' and 'supplemental' work. Employing a national internet panel of 18 year old and over survey respondents from the GfK-KnowledgePanel® (a proprietary, probability-based web panel of more than 50,000 individuals from randomly sampled households), we explore survey representativeness between general population respondents and an oversample of low-to-moderate income respondents (less than $40K annually). We capture side work activity occurring online such as the incidence of selling goods (used and new) as well as services (ie., walking the dog, babysitting, and house cleaning). Our analysis of the 'and' between on-line/off-line work-for-pay includes: How big (volume) and how common (frequent) are occasional or 'gig' work for typical Americans? and What are the correlations between the 'spatial' and 'digital' pay-for-work activities? The data are a post-stratified weighted and unweighted snap-shot of 2,483 survey respondents.
Access/Direct link Conference Homepage (abstract) / (full text)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Joint Statistical Meetings 2016 (13)
- Development and Pilot Test of a Mobile Application for Field Data Collection; 2016; Chiappetta, L.; Kerr, M. M.
- Statistical Design for Online Experiments Across Desktops, Tablets, Smartphones (and Maybe Wearable...; 2016; Qian, P.; Sadeghi, S.; Arora, N. K.
- A Case Study on the Use of Propensity Score Adjustments with Web Survey Data; 2016; Parsons, V.
- Motivated Misreporting in Web Panels; 2016; Bach, R.; Eckman, S.
- Are Initial Respondents Different from the Nonresponse Follow-Up Cases? A Study of Probability-Based...; 2016; Zeng, W.; Dennis, J. M.
- Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys; 2016; Beresovsky, V.; Dorfman, A.; Rumcheva, P.
- Predicting and Preventing Break-Offs in Web Surveys; 2016; Mittereder, F.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Exploration of Methods for Blending Unconventional Samples with Traditional Probability Samples; 2016; Gellar, J.; Zhou, H.; D.; Sinclair, M. D.
- Ratio of Vector Lengths as an Indicator of Sample Representativeness ; 2016; Shin, H. C.
- Design of Sample Surveys That Complement Observational Data to Achieve Population Coverage; 2016; Slud, E.; Ashmead, R.
- Inferences from Internet Panel Studies and Comparisons with Probability Samples; 2016; Lachan, R.; Boyle, J.; Harding, R.
- Exploring the Gig Economy Using a Web-Based Survey: Measuring the Online 'and' Offline Side...; 2016; Robles, B. J.; McGee, M.