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July 13, 2020

Start Date and TimeEvent DetailsEvent Organizer(s)

Monday, July 13, 2020

9:00 AM - 4:00 PM Intro to Analysis with R

R is a powerful and open-source software package for statistical analysis that is, by some measures, becoming the standard for data analysis in the private, public and academic sectors. Its strengths are its open nature, flexibility, its capacity to produce compelling and informative graphics and the thousands of users that produce an astonishing array of packages that enable the software to perform statistical analyses.

This day-long session will introduce participants to R tailored to their topics of interest and level of familiarity with statistics and data analysis. Topics will include basic data management strategies, producing descriptive and bivariate statistics, the linear and generalized linear model and data visualization. 

Prerequisites:
This is a beginner course, and therefore does not require any specific prerequisites. An introductory statistics class would be beneficial, as would some experience working with a computer programming language. A lack of either of these experiences will not hinder your success in the course.

Prepare:
Please pre-install the software on your own device so you can follow along.

Instructor:
Derek Gray

Registration.
Cost and discount options.

  • CCRLA
  • 9:00 AM - 4:00 PM Qualitative Approaches: Finding the Right Fit

    Have you ever wondered about qualitative research and how you can use it for your own work? Together, in this full-day workshop, we will explore the following five approaches to qualitative research: case study, ethnography, grounded theory, narrative research, and phenomenology. For each approach, we will discuss:

    • Origins and defining features
    • Associated methods
    • Common data analysis and presentation techniques
    • Challenges and/or ethical considerations

    Please be prepared for breakout group discussions to help clarify and reinforce workshop concepts. This workshop was developed in 2019 for LSIRM by Jennifer Marshman & Margaret Douglin. 

    Prerequisites:
    None, but some basic understanding of the fundamentals of qualitative research is assumed.

    Prepare:
    Participants who wish to do some reading in advance (not mandatory) may wish to explore the following reference as background reading for the session: Creswell, J., & Poth, C. (2017). Qualitative inquiry & research design: Choosing among five approaches (4th ed.). Thousand Oaks, CA: Sage. A more comprehensive list of resources will be provided at the end of the workshop.

    Instructor:
    Lauren Judge

    Registration.
    Cost and discount options.

  • CCRLA
  • 9:00 AM - 12:00 PM We All Count: Quantitative Data Equity & Ethical Issues

    Very few people use data and quantitative analysis because they want to promote racist or sexist ideas. However, it’s very easy to accidentally fall into these traps, particularly when there’s so much talk about the objectivity of evidence.

    It’s really easy to make mistakes when using data. A working understanding of how to incorporate ethics and equity into data products is essential for anyone conducting data analysis or making decisions based on data analysis.

    This workshop will guide learners hands-on through the process of learning to identify inequity and hidden bias at seven key stages of the data product lifecycle. This is an interactive skill-building workshop that delivers a seven-step process, real-world examples at each step and hands-on exercised accessible to both data analysts and C-Suite decision-makers.

    We will work with real world examples including the current COVID-19 crisis, the integration of Syrian refugees into Canada, and social impact projects around the globe.

    This lively, interactive workshop offers tools and materials for visual, auditory, and kinesthetic learners. The workshop is based on stories drawn from the real world designed to illustrate why the materials are relevant and directly meaningful to the participant’s lives. Hands-on activities are provided so that abstract ideas are brought down to a concrete level.

    Participants leave with checklists as well as an individually crafted plan of their first step in applying the skills they learned in their work.

    Prerequisites:
    None

    Instructor:
    Heather Krause

    Registration.
    Cost and discount options.

  • CCRLA
  • 1:00 PM - 4:00 PM Skills for Effective Interviewing and Focus Groups

    Interviewing is the most common method of data collection used in qualitative research. This workshop provides a detailed overview of individual and group interviews, which are the most common methods of data collection used in qualitative research.

    By the end of this session, you will be familiar with the benefits and challenges of interviewing, how to create an interview protocol, how to craft effective questions, key skills in conducting the interview, and how to assess the quality of an interview. You will have the opportunity to practice your new knowledge and skills through role-playing in online breakout groups. This workshop is appropriate for academics and professionals alike.

    Prerequisites:
    None

    Instructor:
    Nicole Burns

    Registration.
    Cost and discount options.

  • CCRLA

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