Gerstein Science Library

Date: Thursday, September 10, 2020
Time: 1:00pm - 2:00pm

Researchers are more frequently undertaking mixed methods projects, which allow them to take advantage of the strengths of both qualitative and quantitative data.

NVivo will help you organize and analyze the qualitative data, as well as use quantitative data to parse and ask questions of your qualitative data. In NVivo you will be able to work with this type of data and associate the quantitative information with the qualitative data.

In this webinar we will discuss how to bring in quantitative data as attribute information, such as demographic data from interviews as well as from a survey that contains both closed-ended questions and open-ended responses. We will also discuss some ways to query this data, which you can then export and synthesize further analysis in statistical software.

NVivo Webinar Registration: https://go.nvivobyqsr.com/mixed_method_mac

Date: Thursday, September 10, 2020
Time: 9:00am - 10:00am

Researchers are more frequently undertaking mixed methods projects, which allow them to take advantage of the strengths of both qualitative and quantitative data.

NVivo will help you organize and analyze the qualitative data, as well as use quantitative data to parse and ask questions of your qualitative data. In NVivo you will be able to work with this type of data and associate the quantitative information with the qualitative data.

In this webinar we will discuss how to bring in quantitative data as attribute information, such as demographic data from interviews as well as from a survey that contains both closed-ended questions and open-ended responses. We will also discuss some ways to query this data, which you can then export and synthesize further analysis in statistical software.

NVivo Webinar Registration: https://go.nvivobyqsr.com/mixed_method_eu

Date: Thursday, September 3, 2020
Time: 11:00am - 11:30am
Location: Online

Date: Thursday, September 3, 2020
Time: 11:00 – 11:30 am
Location: The webinar link will be shared with you via email prior to each session’s start time.

Join an online storytime with U of T librarians, who will be reading from their favourite picture books.

Recommended for ages 3-8 years (but all are welcome!)

Registration required. Children of University of Toronto students, staff, faculty, and their partners are welcome to attend.

Register through Family Care Office at: https://familycare.utoronto.ca/events/workshops/#6358

Date: Thursday, September 10, 2020
Time: 12:00pm - 1:00pm

Researchers are more frequently undertaking mixed methods projects, which allow them to take advantage of the strengths of both qualitative and quantitative data.

NVivo will help you organize and analyze the qualitative data, as well as use quantitative data to parse and ask questions of your qualitative data. In NVivo you will be able to work with this type of data and associate the quantitative information with the qualitative data.

In this webinar we will discuss how to bring in quantitative data as attribute information, such as demographic data from interviews as well as from a survey that contains both closed-ended questions and open-ended responses. We will also discuss some ways to query this data, which you can then export and synthesize further analysis in statistical software.

NVivo Webinar Registration: https://go.nvivobyqsr.com/mixed_methods

Date: Tuesday, June 16, 2020
Time: 12:00pm - 1:00pm

For participants of all disciplines interested in learning more about researching companies and finding competitor information. Includes an overview of subscription databases and publicly available resources for company research.

You’ll learn how to:

• Evaluate different types of company information and understand the differences between public and private companies
• Find both direct and indirect competitor information
• Practice finding company documents and reports

When: June 16, 2020, 12-1 p.m. EST
Location: Online via Zoom. Registrants will receive a link prior to the session start.
Instructor: Sean Forbes, Milt Harris Library, Rotman School of Management (sean.forbes@utoronto.ca)

This workshop is part of the Entrepreneurship Research Co-Curricular Record as recognized by the University of Toronto. Students of all levels are eligible to participate in the CCR, and must provide their student number upon registration.