Training workshops

Prof. Asaph Young Chun (South Korea)

Dr. Lydia Repke (Germany)

Dr. Olga Maslovskaya (UK)

Dr. Immanuel Azaad Moonesar (UAE)

Administrative Records for Survey Methodology

Professor Asaph Young Chun (South Korea), PhD, is Director-General 2019-2022, Statistics Research Institute at Statistics Korea. He is seasoned research director, interdisciplinary research scientist, and survey methodologist dedicated to data innovations, survey methodology, and data science over 30 years. His areas of research are devoted to administrative records, responsive and adaptive design, nonresponse, and evidence-based decision making.

NOVEMBER 10 - 09:30-11:30

Part 1: Fundamentals of Administrative Records in Survey Methodology (Level: fundamental). Administrative records have long been regarded as a way of supplementing and improving the quality and interpretability of surveys and censuses. Using administrative records helps control the rising cost of survey data collection and improve data quality. In the Workshop Part 1, I will address fundamental issues of understanding administrative data and integrating them with sample surveys and censuses to provide information essential to decision-making. The workshop is intended to provide a review of foundation and the current state of the field in administrative records research and applications by leveraging a framework of "total administrative records error" and “total linked data error”. As such, the workshop will provide an overview and assessment of methodological issues involved in the collection and analysis of administrative records, such as data quality, cost, and data linking methodology.

NOVEMBER 10 - 12:00-14:00

Part 2: Best Practices of Applying Administrative Data to Survey Methodology (Level: advanced). The Workshop Part 2 will present best practices and cutting-edge research on the use of administrative records over the survey life cycle, integrating with surveys, censuses, and auxiliary data. Best practices are assembled across the Atlantic. Real-world examples of linking administrative records to household, economic and health surveys will address how administrative data can be used to improve the survey frame, reduce nonresponse errors, and assess coverage error, among others. Other examples will illustrate how administrative data can be transformed into information that is useful and relevant to evidence-based decision making in key sectors of health, economy, and education so they may answer questions that cannot be answered by relying on traditional surveys alone.

Survey Quality Predictor 3.0

Dr Lydia Repke (Germany), PhD, studied Political and Administrative Sciences at the University of Konstanz, Germany. Since 2012 she has been a member of the Research and Expertise Centre for Survey Methodology in Barcelona, Spain, and since 2018 she has been working for GESIS - Leibniz Institute for the Social Sciences in the Department of Survey Design and Methodology in Mannheim, Germany.

NOVEMBER 10 - 09:30-11:30

Survey Quality Predictor 3.0 – A Tool for Quantifying the Quality of Survey Questions (Level: advanced). The Survey Quality Predictor (SQP) is an open-access software for predicting the quality of survey questions. It is also a database and search engine for survey questions and information on their quality. SQP has three main areas of application: (1) questionnaire development (i.e., SQP can be used to design, evaluate, and improve new questions), (2) translation checks (i.e., SQP can be used to control for deviations in translations in cross-country or multilingual studies), and (3) correction of measurement error (i.e., the quality estimates of SQP can be used to correct for measurement error in substantive analyses). In the first part of the workshop, how the quality of survey questions can be predicted, how this is implemented in SQP, and how SQP can be applied in the research process are explained. The second part of the workshop will be more hands-on, and participants will get to know the software in more detail.

Probability and Non-probability Social Surveys

Dr. Olga Maslovskaya (UK), PhD, is an Associate Professor in Survey Research and Social Statistics at the University of Southampton. She is a Survey Methodologist with an interest in all aspects of survey and a special interest in data quality and survey data collection. She is a Principal Investigator (PI) of the Survey Data Collection Network (SDC-Net) which investigates impact of covid-19 on survey data collection.

NOVEMBER 10 - 12:00-14:00

Probability and Non-probability Social Surveys: Advantages, Suitability and Limitations (Level: fundamental). The main objective of the workshop is to provide participants with a brief overview of the history, theoretical foundations and empirical evidence surrounding the debate about probability and nonprobability sample surveys. We will discuss real-life examples to demonstrate that choice of sampling approach is of crucial importance. The workshop will provide participants with an understanding of the conditions under which probability and nonprobability samples can provide useful data to answer various research questions. We will also discuss the advantages and limitations of different approaches to probability and nonprobability sampling.

Communicating public opinion data to policy makers

Dr Immanuel Azaad Moonesar (UAE), PhD, is Associate Professor at the Mohammed Bin Rashid School of Government, Dubai, UAE. His current research interests are in public policy, healthcare management & leadership, maternal & child health, health policy and innovation, nutrition, and quality management. He has over 95 publications ranging across peer-reviewed journal articles, peer-reviewed international conferences, co-authored books, and book chapters to date.

NOVEMBER 10 - 12:00-14:00

Communicating public opinion data to policy makers (Level: advanced). This workshop will focus on strategies and best practices for effectively communicating public opinion and other survey data to policy makers. This is a critical problem that has been confronted by public opinion researchers across the world. The workshop will be of assistance to governments and employers’ and workers’ organizations in developing evidence-informed policy making. The workshop will provide guidelines for policymakers and researchers on knowledge translation products and will help establishing and nurturing critical links and collaborations between policymakers and researchers. The workshop will strengthen capacity press tracing and capacity to develop knowledge translation products (policy brief) and engage in uptake activities to support evidence-informed policymaking process.