Join One or More of CSDE’s Spring 2021 Workshops!
Posted: 3/30/2021 (CSDE Workshop)
Each quarter, CSDE offers workshops on data sources, statistical methodology, introductions to analysis programs, and more, all given by CSDE staff and faculty affiliates. Students, faculty, and staff are all welcome to register for our workshops and we welcome registrants from outside the University of Washington as well. If you miss a workshop, recordings will be available on our website for 3 months after the workshop. Our Spring 2021 workshops include Preventing and Identifying Fraud in Survey Data Collection (04/06), Introduction to the Use of R with Relational Databases (04/19) and Understanding Lab Methods and Data (04/28).
CSDE Training Director and Research Scientist Dr. Christine Leibbrand will lead the workshop on April 6 on preventing and identifying fraud in survey data collection. This workshop will serve as an introduction to ways in which your survey may be hacked, factors that increase your risk of experiencing fraud in your results, and strategies for preventing and identifying fraud in your data. This workshop is especially suited to researchers who are interested in fielding surveys through online platforms.
CSDE Research Scientist Phil Hurvitz will lead the workshop on April 19 on the use of R with Relational Databases.The workshop will provide a broad overview of using R to interface with relational databases. By the end of the course you will be able to make connections with PostgreSQL/PostGIS and SQLite/GPKG databases, pull tables from the database into R as data frames, perform basic SQL operations on tables and return results as R data frames, and perform spatial queries within the database and return results as R data frames.
CSDE’s Biodemography Director Eleanor Brindle will lead the workshop on April 28 on lab methods and data. This workshop, intended for those with little or no experience working in laboratories, will focus on how to evaluate strengths and weaknesses of biomarker data, discuss principles of commonly used lab methods in biodemographic research, reliability and standardization issues, and how to interpret or write lab methods sections to convey the most important information for evaluating lab data.