Web Survey Bibliography
Purpose – The purpose of this article is to evaluate a method for measuring work activities and skill requirements of 160 occupations in eight countries, used in EurOccupations, an EU-FP6 project. Additionally, it aims to explore how the internet can be used for measuring work activities and skill requirements.
Design/methodology/approach – For the 160 occupations, work activities were described in approximately ten tasks. Occupational experts and jobholders were invited to rate these tasks and to indicate the skill requirements, using a multilingual web-survey. Experts were recruited through the networks of the project partners and jobholders through frequently visited websites in the eight countries. The effectiveness of the drafting of tasks descriptions, the recruitment of raters, and the measurement of skill requirements is evaluated.
Findings – The project showed that tasks descriptions for a wide range of occupations and countries can be drafted relatively easy, using desk research. Conducting a web-survey with a routing for 160 occupations and eight countries is viable. Recruiting experts used more resources than recruiting jobholders using the internet. Measuring skill requirements would need much more resources due to major variations within and across countries.
Research limitations/implications – The article addresses a number of areas that are potentially worthy of further empirical investigations for a Europe-wide library of occupational titles, work activities and skill requirements.
Practical implications – The paper outlines the potential of a future method for a European library of work activities and skill requirements for occupational titles, thereby facilitating European industrial training efforts.
Social implications – Insight in the work activities and skill requirements of occupations will facilitate labour mobility and related training across EU member states.
Originality/value – This paper explores the potential for a Europe-wide empirical underpinning of work activities and skill requirements, using a web-survey and the internet.
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Web survey bibliography - Tijdens, K. G. (18)
- Self-identification of occupation in web surveys: requirements for search trees and look-up tables ; 2015; Tijdens, K. G.
- Identifying and correcting question-wording problems: the case of Wageindicator; 2015; Slavec, A., Vehovar, V., Tijdens, K. G.
- WEBDATANET: Innovation and Quality in Web-Based Data Collection ; 2014; Steinmetz, S., Slavec, A., Tijdens, K. G., Reips, U.-D., de Pedraza, P., Popescu, A., Belchior, A., ...,...
- Improving web survey quality; 2014; Steinmetz, S., Bianchi, S. M., Tijdens, K. G., Biffignandi, S.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Measuring the very long, fuzzy tail in the occupational distribution in web-surveys; 2014; Tijdens, K. G.
- Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey; 2014; Tijdens, K. G.
- WEBDATANET: A Network on Web-based Data Collection, Methodological Challenges, Solutions, and Implementation...; 2014; Tijdens, K. G., Steinmetz, S., de Pedraza, P., Serrano, F.
- Challenges and pitfalls of measuring wages via web surveys - some explorations; 2012; Steinmetz, S., Bianchi, A., Tijdens, K., Biffignandi, S.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Hrh remuneration: Comparing wage levels, ranking And dispersion of 16 occupations In the health workforce...; 2011; Tijdens, K., de Vries, D.
- Wages worldwide results and measurement issues from the multi-country. WageIndicator web-survey ; 2011; van Klaveren, M., Tijdens, K.
- Text string matching to measure occupations in web-surveys; 2011; Tijdens, K. G.
- Codebook and explanatory note on the WageIndicator dataset ; 2010; Tijdens, K., van Zijl, S., Hughie-Williams, M., van Klaveren, M., Steinmetz, S.
- Potentials and Constraints of Propensity Score Weighting to Improve Web Survey Quality; 2010; Steinmetz, S., Tijdens, K.
- Presentation of WEBSURVNET; 2009; de Pedraza, P., Steinmetz, S., Tijdens, K.
- Sample bias, weights and efficiency of weights in a continuous web voluntary survey; 2007; de Pedraza, P., Tijdens, K., de Bustillo, R.