Program Description: Survey data can help you gather important information about your programs, clients, and services. However, there is a science to crafting and designing surveys that gather meaningful insights to improve your work. This class will provide general guidelines and practices in survey design, including for customer surveys and evaluative surveys, and will provide you with the knowledge and skills to help you create better surveys. 

In Intro to Survey Design you will learn how to:

• Develop questions that give you meaningful information.

• Identify survey questions using best practices.

• Create a high-quality survey.

After attending this workshop you will have the skills you need to put into practice to improve the quality of your survey data.

Covid Protocol

This workshop will be held in the CTData office space at Trinity College Action Lab. In keeping with Trinity College’s COVID protocols, attendees must wear a mask and show a vaccination card to enter.

A note about the fee:

Workshops build skills, clear up confusion, and enhance professional development, but you didn’t need us to tell you that. Studies have found that by charging a small fee, it increases the likelihood that you will attend this workshop and reap the benefits of the training. For this reason, we charge a small fee to cover the cost of parking and food. However, if you are truly unable to pay the fee, please contact Sarah (sarah@ctdata.org) to attend this training free of charge.

If this article about the work of a group of Trinity College students, who conducted analysis and compiled some charts to explain the progress of the Sheff v. O’Neill agreement caught your eye, you’re not alone. For our June session, we have invited Jack Dougherty, the Trinity professor who supported this intriguing data work, to talk with us about the process of turning an 87-page legal document into some easy-to-read graphics that the people most affected by this agreement might be able to understand and interact with. Between first-hand experience by students and buried data about the progress of desegregation, the students compiled information that can help residents of the Hartford region advocate for equal access to education as envisioned in this movement.

About the speaker

Jack Dougherty is Professor and Director of the Educational Studies Program at Trinity College. He and his students use tools from digital history, data visualization, and web writing to explore the relationship between cities, suburbs, and schools in metropolitan Hartford, Connecticut. Jack received his B.A. in philosophy from Swarthmore College, taught high school social studies in Newark, New Jersey, then earned his Ph.D. in educational policy studies, with a minor in U.S. history, from the University of Wisconsin-Madison. At Trinity, he co-created the Liberal Arts Action Lab while serving as its first Faculty Director (2017-2020), and also led the team that launched the Center for Hartford Engagement and Research(CHER) while serving as its first Director (2018-2020). Learn more about his teaching, scholarship, and community engagement at https://jackdougherty.org.

About this group

The Equity in Data Community of Practice is a group-led community of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.

You can read more about our past events here.

About this group:

We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.

Some of the topics we talk about include:

• How can we make sure we don't make certain groups invisible through how we disaggregate our data?

• How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?

• How can we learn from the people who we hope will benefit from our products or services about what their data means to them?

• How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?

You can read more about our past events here.

Please feel free to check out the group. And if it is helpful, please share it!

About this group:

We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.

Some of the topics we talk about include:

• How can we make sure we don't make certain groups invisible through how we disaggregate our data?

• How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?

• How can we learn from the people who we hope will benefit from our products or services about what their data means to them?

• How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?

You can read more about our past events here.

Please feel free to check out the group. And if it is helpful, please share it!

About this group:

We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.

Some of the topics we talk about include:

• How can we make sure we don't make certain groups invisible through how we disaggregate our data?

• How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?

• How can we learn from the people who we hope will benefit from our products or services about what their data means to them?

• How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?

You can read more about our past events here.

Please feel free to check out the group. And if it is helpful, please share it!

About this group:

We are a group of data users in Connecticut who are supporting one another as we work toward more equitable data practices. We focus on racial equity explicitly but not exclusively.

Some of the topics we talk about include:

• How can we make sure we don't make certain groups invisible through how we disaggregate our data?

• How can we learn to focus our attention on the strengths, rather than the deficits, of groups we are seeking to serve or support?

• How can we learn from the people who we hope will benefit from our products or services about what their data means to them?

• How can we help the institutions that we are part of to be trustworthy so that people will trust us with their information/data?

You can read more about our past events here.

Please feel free to check out the group. And if it is helpful, please share it!