Accessing Statistics Canada Data for your Research
Library Building (LIB) 3287 University Way, Kelowna, BC, CanadaLooking for data for your graduate thesis or post-doctoral project?
Looking for data for your graduate thesis or post-doctoral project?
Action-inspiring awe can come from observation of the mini-dramas all around us, and puppetry, like other story telling modes, has the power to cultivate that awe.
The Centre for Scholarly Communication (CSC) will be hosting weekly drop-ins to help answer your questions and guide your research.
Action-inspiring awe can come from observation of the mini-dramas all around us, and puppetry, like other story telling modes, has the power to cultivate that awe.
The Centre for Scholarly Communication (CSC) will be hosting weekly drop-ins to help answer your questions and guide your research.
This session will introduce participants to the concept of P values and their role in hypothesis testing, highlighting that P values reflect the probability of observing the data under the null hypothesis, not the biological significance of the findings. The session will cover the computation of P values and delve into the nuances of one-sample t-tests.
By the end of the session, participants should be able to comprehend the meaning of P values, understand how hypothesis tests calculate P values, recognize when small P values indicate unlikely events under the null hypothesis, and explore the assumptions behind one-sample t-tests.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
The Centre for Scholarly Communication (CSC) will be hosting weekly drop-ins to help answer your questions and guide your research.
Join McGill University's Professor Jacob Levy as he discusses the topic of culture wars as a teachable moment for free speech and academic freedom.
This session will address the visualization of standard deviation (s.d.), standard error of the mean (s.e.m.), and confidence interval (CI) error bars to enhance the understanding of uncertainty in data analysis. The interpretation of error bars for statistical significance will be discussed, along with common misinterpretations to avoid.
By the end of the session, participants should be able to visualize and interpret error bars, understand the implications of their spacing and width, and be cautious of common pitfalls such as misinterpreting non-overlapping error bars as evidence of significance.
This workshop will illustrate how to fit linear models in R, diagnose any issues with model assumption violations, and interpret linear model summaries, including model coefficients, degrees of freedom, standard error estimates, t statistics, F statistics, p-values, R2, statistical significance, adjusted R2.
By the end of this session, participants will be able to fit linear models in R and interpret model outputs, including the output of the summary() function in R.
This session will introduce participants to the foundational concepts of statistical inference, including population distributions and the process of random sampling. Attendees will learn how sampling distributions evolve towards normality as sample sizes increase and will visually explore the Central Limit Theorem.
By the end of the session, participants should be able to visualize and understand population distributions, illustrate random sampling processes, recognize the normalizing effect of larger samples on sampling distributions, and demonstrate the Central Limit Theorem visually.
This series will use R and Python to help develop an intuition for fundamental statistical concepts using data visualization. These workshops are equally suitable to those hoping to enhance their ability to interpret common statistical tests and concepts as it is for those applying statistical modelling to their work.
This workshop will introduce linear models (i.e., one-way ANOVAs), their assumptions, and limitations, in a format tailored towards visual and spatial learners.
This series introduces early-career researchers to statistical models that extend beyond linear models (i.e., ANOVAs) so that they may learn how to *fit models to their data rather than fitting their data to models*.
Métis-settler master’s student Dani Pierson will guide you through a Rest as Resistance workshop. This event is hosted as a part of Sexual Assault Awareness Month at UBC.
The Centre for Scholarly Communication (CSC) will be hosting weekly drop-ins to help answer your questions and guide your research.
Looking for data for your graduate thesis or post-doctoral project? This workshop will introduce you to both publicly available and restricted access Statistics Canada data, and how to apply to use restricted access data through UBCO Research Data Centre.
Drop in and join local drag king Ken Don’t Cry who will read selected short stories touching on themes related to 2SLGBTQ identities.
The Centre for Scholarly Communication (CSC) will be hosting weekly drop-ins to help answer your questions and guide your research.
This workshop will focus on code-switching in academic settings, and the colonial, patriarchal, and exclusionary language barriers that graduate students often face. We will discuss how to navigate the university’s expectations around language while still asserting our own voices, and how we, as TAs and instructors, can support other students in navigating these questions themselves.
We are pleased to invite you to the Student Learning Hub.
This is a minimal-math introduction to interpreting math for social science researchers who want to feel more comfortable with the tools they use in every study.
We are pleased to invite you to the Student Learning Hub.
The Centre for Scholarly Communication (CSC) will be hosting weekly drop-ins to help answer your questions and guide your research.