Title: Military Populations Research Best Practices
Presenters: Amanda Barry
Duration: 60 min
Many researchers have challenges with surveying and engaging sample members, but this can be even more challenging for active-duty military, families, and veterans. During this webinar, we will discuss the best practices for conducting research with this unique population.
About the presenters:
Amanda Barry is the director of Military Workplace Climate Research at Fors Marsh where she oversees a research portfolio that leverages qualitative and quantitative methods to examine different facets of workplace culture and climate with a key focus on gender relations and equal opportunity within the military. Her research spans a wide range of Department of Defense populations, including members of the active duty and reserve components, military service academy cadets and midshipmen, DOD civilians, and Sexual Assault Prevention and Response Office (SAPRO) personnel.
The Tidy Survey Analysis in R Workshop Series will feature 3 online sessions (1.5 hours each) on how to analyze survey data in R. The first workshop will introduce functions to obtain weighted totals and proportions from survey data, and how to conduct weighted analyses using χ-squared tests and logistic regression models. The second workshop will introduce functions to obtain weighted means, quantiles, and ratios from survey data, and how to conduct weighted analyses using t-tests and linear regression models. The third workshop will take a closer look at the survey design object and will review common probability sampling designs. We will also cover how to create replicate weights, derived variables, and reproducible research output.
All sessions will include time for exercises in breakout rooms using data from the 2020 American National Election Study and the 2015 Residential Energy Consumption Survey, so you can get hands-on experience with the functions. We will be using RStudio Cloud, so you do not need to have R or RStudio preinstalled on your computer. For the best learning experience, we recommend you have some prior experience with R and the tidyverse. You should be familiar with mutate, summarize, count, and group_by. The instructors are providing this course to obtain feedback on the material for their upcoming book on tidy survey analysis in R.
Dr. Stephanie Zimmer is a senior survey statistician with 10 years experience in survey sampling and design, survey weighting and analysis, and data management. She is an expert statistical programmer in R, SAS, and SUDAAN. She earned her PhD in Statistics from Iowa State University and her BS in Statistics from NC State. After earning her RStudio Tidyverse Trainer certification, she taught a course on tidy survey analysis in R in an AAPOR short course. She is currently a senior associate at Abt Associates.
Dr. Rebecca Powell is a research survey methodologist at RTI International. Her research interests focus on visual design of questionnaires and contact materials. Additionally, Dr. Powell is a Certified RStudio Tidyverse Trainer and has taught courses and webinars on data management in R and tidy survey analysis in R at both AAPOR and MAPOR. She has a PhD in Survey Research and Methodology from the University of Nebraska-Lincoln and a BS and MS in Applied Statistics from Rochester Institute of Technology.
Isabella Velásquez is a content strategist, data enthusiast, and author. Her experience spans data collection, grantmaking, strategy development, and survey instrument development. She earned her MSc in Analytics and BA in Economics and East Asian Languages and Civilizations from the University of Chicago. She currently works as a Sr. Product Marketing Manager at RStudio.
Please join us for an informative and interactive presentation on crafting questions to measure Sexual Orientation and Gender Identity (SOGI) in surveys. SOGI is measured in a variety of ways across surveys and research studies, but which SOGI question, or set of questions, is best for your study or target study population? Justine Bulgar-Medina, Ph.D. is a Research Methodologist at NORC and has dedicated much time and research to address this question. Justine will share her knowledge on the evolution of work on measurement error in SOGI populations in the MAPOR fall webinar on October 27th.
About Justine: In addition to her work at NORC, Justine also teaches courses in research methods and public policy at Northwestern. Prior to joining NORC & Northwestern, Justine was a faculty member at Merrimack College where she taught courses in research methods, statistics, public policy and criminology. Justine completed her doctoral work in Sociology & Survey Research at the University of Massachusetts in Boston. Justine’s work focuses on looking at measurement error in surveys, especially measurement error in minority and multiple minority areas, with a focus on culturally responsive and inclusive approaches. She has presented on these topics at several conferences (including MAPOR and AAPOR), as well as offered short courses for UNC’s Odum Institute. Along with other researchers in the field Justine has been active in organizing AAPOR panels on SOGI populations.
The latest MAPOR newsletter is available here. This edition contains updates on what the Executive Council has been working on, 2017 budget update and strategic investments, and the first MAPOR Webinar of the year. It also features MAPOR sponsors and MAPORtraits!