In the past few months, we've been developing our online simulation toolkit so that faculty can digitize their public policy simulations. We checked in with Joshua Yardley about his experience using SurveyCTO to run a pandemic simulation in the "Program Evaluation and Policy Analysis" course he teaches at Brown University and the opportunities he sees for using online simulations in Massive Open Online Courses (MOOCs).
After a successful pilot of a pandemic simulation using SurveyCTO earlier this year, members of our team had the pleasure of participating in its implementation as part of the Harvard Kennedy School (HKS) module "Fundamentals of Policy Analysis and Decision Making," a required course for 250 Masters in Public Policy students.
Let’s pick up where we left off in Part 1 of our survey design for quality data series, which was inspired by Dobility founder and CEO Dr. Christopher Robert's presentation in the TechChange course “Technology for Data Collection and Survey Design.” Lesson 1 focused on designing your survey with empathy for field staff and respondents. Lesson 2 highlighted SurveyCTO tools for building in relevance and constraints. With Lesson 3, we’ll jump into a number of ways that SurveyCTO enables you to automate monitoring and workflow.
Last week, Dobility founder and CEO Dr. Christopher Robert presented on how to design surveys for quality data in the TechChange Course "Technology for Data Collection and Survey Design.” We thought it would be fun to share highlights from his talk with the larger community of mobile data collection users (while also showing off some of the cool ways that SurveyCTO can help you design smart surveys from day one).
There is a critical difference between data and quality data. In this new era of #2030NOW, we must push for more than numbers that fill spreadsheets; we must push for good, quality data that reflects the needs of all members of society—young and old. We need data that covers conflict-ridden areas, refugee camps, and remote, disconnected areas. Read how inclusive, high-quality data will be key to achieving the new Global Goals...
Computer Assisted Personal Interviewing (CAPI or just “electronic”) and Paper and Pencil Interviewing (PAPI or just “paper-based”) are two different methods of conducting surveys and collecting data more generally. PAPI is the traditional method in which an enumerator fills in a paper form or questionnaire. CAPI is the newer method, gaining in popularity, where the enumerator uses a tablet, smartphone, or laptop computer to move through the interview and record responses...
You need to collect some data. You’re familiar with pen-and-paper data collection, but you’ve decided to make the leap and enjoy the benefits of electronic data collection. Now you have a lot of questions...