Join a CCRAM Session
The Canadian Centre for Research Analysis and Methods offers online and in-person courses to advance your research practice. Learn from leading experts in behavioural science.
Mediation, Moderation, and Conditional Process Analysis On Demand
Continuously offered in self-paced online format. Start the course at a time of your choosing.
Andrew F. Hayes, University of Calgary | starting at $595 (Canadian dollars) plus 5% GST
Effects that behavioural scientists study usually have boundary conditions (moderation) and always operate through some kind of mechanism (mediation) that is contingent on individual differences, context, or situation (moderated mediation). Using the principles of ordinary least squares regression analysis, these on-demand courses cover the fundamentals of mediation, moderation, and conditional process analysis and their implementation as well as more complex extensions, with a focus on the PROCESS macro invented by the instructor. These courses are delivered in online, asynchronous form and are available at a time of your choosing and anywhere in the world. There is no set time when you have to be online..
To schedule a private version of one of these courses for your group of 10 or more, inquire about hosting a CCRAM session.
Scale Development and Psychometrics
In person in Calgary | Next offered July 2024 during Rocky Mountain Methodology Academy
Jessica Flake, McGill University
Researchers often need to measure some aspect of people’s psychology, be it their attitudes, satisfaction, motivation or intentions. This short course will cover the fundamentals of how to develop, evaluate, and refine measurement instruments and procedures using modern psychometric methods.
Introduction to Structural Equation Modeling
in person in Calgary | next offered July 2024 during Rocky Mountain Methodology Academy
Doug Baer, University of Victoria
Structural equation modeling (SEM) is widely used in many disciplines including psychology, education, communication, biology, medicine, and others. It is often used to analyze and test models derived from theory and existing literature linking variables together in a structural system. It is also used to manage and account for some of the effects of measurement error that many statistical approaches assume is absent. This course introduces the fundamentals of SEM as a general analytical tool, including how to set up measurement and structural models, latent variables, path analysis, definitions and quantification of model fit, and the implementation of SEM in statistical software.
Latent Profile Analysis
In person in Calgary | next offered July 2024 during Rocky Mountain Methodology Academy
Matthew McLarnon, Mount Royal University
Latent profile analysis (LPA) is a family of statistical models that can be used to identify unobserved, heterogenous, and qualitatively distinct subgroups in one’s data. This course will introduce LPA, focusing on applications in the social, educational, health, and management sciences. Participants will come to understand and appreciate the theoretical and conceptual fundamentals of LPA and acquire the analytical skills needed to specify an appropriate analytical model, interpret the results, and thoroughly address research questions using LPA.
Introduction to Social Network Analysis
in person in Calgary | next offered July 2024 during Rocky Mountain Methodology Academy
Jenny Godley, University of Calgary
Social network analysis examines the patterning of relationships between individuals and groups to understand social action. This introductory-level course covers the fundamentals of design, collection, analysis and interpretation of both whole and ego-centered network data.
Introduction to Multilevel Modeling
In person in Calgary | Not currently scheduled
Jason Rights, University of British Columbia
Multilevel modeling (also known as hierarchical linear modeling or linear mixed effects modeling) is widely used to analyze nested data structures. This course covers the fundamental statistical principles underlying multilevel modeling, a variety of techniques and methods that can be used in many different research contexts, and how to appropriately specify models and interpret results in practice.
Introduction to Mediation, Moderation, and Conditional Process Analysis
in person in Calgary | Next offered July 2024 during Rocky Mountain Methodology Academy
Andrew F. Hayes, University of Calgary
Effects that behavioural scientists study usually have boundary conditions (moderation) and always operate through some kind of mechanism (mediation) that is contingent on individual differences, context, or situation (moderated mediation). Using the principles of ordinary least squares regression analysis, this course introduces the fundamentals of mediation, moderation, and conditional process analysis and their implementation, with a focus on the PROCESS macro invented by the instructor.
To schedule a private version of this course at your location for your group of 10 or more, inquire about hosting a CCRAM session.
Mediation, Moderation and Conditional Process Analysis: A Second Course
in person in Calgary | not currently scheduled
Andrew F. Hayes, University of Calgary
This course is a follow-up to our introductory course, extending the fundamentals to more complicated problems such as multicategorical causal agents and moderators, multiple moderators, three-way interaction, and other more advanced topics.
To schedule a private version of this course for your group of 10 or more, inquire about hosting a CCRAM session.
Doing Open and Replicable Science
Not currently scheduled | Next offering format and date TBD
Felix Cheung, University of Toronto
Transparency in study planning, analytical coding, and research materials facilitate independent verification of study findings. Improving replicability of research means that we can have stronger confidence in making decisions based on empirical findings. This course will cover the principles of, tools, and resources for how to do open and replicable science.
Systematic Review and Meta-Analysis
Not currently scheduled | next date and offering format TBD
Piers Steel, University of Calgary | Hadi Fariborzi, Mount Royal University
All scientists regularly have a need to summarize the available literature in their area or update their knowledge of recent research findings in that area. Relying heavily on the freely-available HubMeta platform, the goal of this course is to help you build, develop, and modernize your skills on systematic literature searches and the quantitative summarizing of that literature through meta-analytic methods.
Experience CCRAM in Calgary
In-person CCRAM courses are hosted at the University of Calgary. Take advantage of this opportunity to visit Calgary, Alberta. Only an hour drive away from the extraordinary Canadian Rocky Mountains. Must-see destinations include Banff National Park, Jasper National Park and Canmore. In warmer months, you can canoe or kayak across the many beautiful lakes, hike and camp in the tall forests, and breathe in the fresh mountain air.
Explore Calgary's vibrant downtown. Calgary’s culinary scene delivers flavours from all over the world with hundreds of great restaurants to choose from. Rich in arts, culture, entertainment and leisure activities, there’s always something to do in Calgary.
Getting to Calgary
Calgary is easy to get to from various destinations around the world. With one of the world's most modern and welcoming airports, getting to Calgary by air is easy with commercial airline access and other options available to travellers. Nonstop flights to Calgary are available from most Canadian commercial airports as well as Amsterdam, Atlanta, Boston, Chicago, Dallas, Denver, Dublin, Frankfurt, Houston, London, Los Angeles, Las Vegas, Miami/Fort Lauderdale, Minneapolis, Nashville, New York/Newark, Paris, Phoenix, Portland (Oregon), Rome, Salt Lake City, San Diego, San Francisco, Seattle.
Do I Need a Visa to Travel to Canada?
Whether you need a visa or electronic travel authorization to come to Canada to attend a CCRAM session depends on your country of citizenship. To find out if you need one, see this government of Canada web page. Obtaining a visa takes time and there are various fees required by the Canadian government, so please plan and apply well in advance to increase the likelihood your application will be processed in time.
Cancellation Policy
If you need to cancel your registration or withdraw from your registered program, emailed notice must be submitted to a representative of the Canadian Centre for Research Analysis and Methods.
Cancellation or withdrawal of your registration will incur the following fee:
• $100 for notice of cancellation/withdrawal from the program received 31 days or greater prior to the program start date
• The fee amount equivalent to 25 percent of the program cost, up to a maximum of $500, for notice of cancellation/withdrawal from the program received between 30 and 15 days prior to the program start date
• The fee amount equivalent to 100 percent of the program cost, for notice of cancellation/withdrawal from the program received 14 days or less prior to the program start date. By request, we can apply this fee dollar-for-dollar to a future CCRAM course.
Should you be unable to attend a registered program due to acts of God, war, government regulations, disaster, strikes, civil disorder, curtailment of transportation facilities, pandemic, or other emergencies making it illegal or impossible to travel, emailed notice must be submitted to ccram@ucalgary.ca. You will be required to pay the $100 program deposit. All other cancellation fees will be waived.
Although always a last resort, we reserve the right to cancel a course or substitute a different instructor if circumstances require. We strive to give at least three weeks notice when such a cancellation or substitution is required. If a cancellation must occur, the Canadian Centre for Research Analysis and Methods is not responsible for any costs you may have incurred (e.g., airline tickets or hotel bookings).
Questions?
If you have questions, please contact us at (403)220-6600 or by email ccram@ucalgary.ca.