Summer school on Survey Research 2018 organized by Utrecht University (Department of Methodology and Statistics) and Statistics Netherlands (CBS, Department of Methodology)
Location: Utrecht University
- August, 20-24 (5 days): Survey Research: Design, Implementation and Data Processing
Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey analysis and estimation, and is organized by the Department of Methodology and Statistics (UU) in collaboration with Statistics Netherlands (CBS). Topics include state of the art survey design, questionnaire construction and testing, modes of and devices for data collection, data processing and survey analysis techniques, such as nonresponse analysis and scale and index construction and the use of administrative data. Best practice guidelines for phases of the survey from design to implementation, analysis and reporting will be discussed. International comparative and longitudinal surveys are included.
The course is intended for advanced students and professionals in such fields as social and behavioral research, marketing, business, health sciences, and official statistics. Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, adjustment, measurement error, and processing error). Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex surveys, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects. This course is organized by the Department of Methodology and Statistics (UU) in collaboration with Statistics Netherlands (CBS).
Second SDG report with updated and new information on the position of the Netherlands with respect to the SDG indicators
In 2015, the members of the United Nations (UN) adopted an agenda for sustainable development. To monitor progress made towards this ambitious goal, the UN drafted a list of SDG indicators. In 2016, Statistics Netherlands (CBS) published a first report on the state of affairs in the Netherlands based on these indicators. Statistics already available at CBS were used for this purpose. The report was very well received both nationally and internationally, which was in part the motivation for publishing this second edition. This second edition was commissioned by the Ministry of Foreign Affairs.
The overall picture that emerges from the SDG measurements is that in a number of areas, the Netherlands ranks highly among European countries: our gross domestic product (GDP) per capita is one of the highest in the European Union (EU) and a relatively large number of Dutch citizens have confidence in institutions. A newly available indicator shows that there is good access to public transport in the Netherlands: 98.5 percent of the population lives less than two kilometres away from the nearest public transport stop. In other areas, the Netherlands occupies a low position in the European rankings. Our proportion of renewable energy is among the smallest in Europe, and the number of women in managerial positions is proportionally one of the smallest. You can read about this and a great deal more in this second edition.
Data used towards statistics production almost always contains errors. What can you do about them? On 6 March 2018, CBS methodologist Sander Scholtus obtained his doctorate cum laude with research on new methods to assess and correct data.
CBS uses, amongst others, data obtained from surveys as well as existing datasets, for instance from the Dutch Tax and Customs Administration. In either case, such data may contain errors and these need to be corrected in order to produce reliable statistics. Scholtus explains how this can be done in two ways. ‘The first method is called editing: you detect the errors and correct them in the best possible way. This is preferably done automatically, as manual work is good but also time consuming. With the second method, you do not correct errors beforehand, but instead you estimate the impact of the errors on your statistic. In this way, you produce a model which you use to correct the entire statistic afterwards.’ In his doctorate research, Scholtus studied and further developed both methods.
Statistics Netherlands is proud to host the 6th International Conference on the Use of R in Official Statistics (uRos2018) on its premesis in the Hague, from 12 to 14 September 2018.
The call for papers is now open. The conference consists of a one-day tutorial session and a two-day scientific conference. Interested authors are kindly invited to submit abstracts through the conference website.
unconfUROS - The uRos2018 conference will be preceded by a short two-day unconference. This event is a two-day hackathon where we develop applications for official statistics. More information can be found at the unconfUROS github page.
Partners - uRos2018 is organized at CBS in collaboration with Statistics Romania, Statistics Austria, The university of Bucharest and the Ecological University of Bucharest.