Join a CCRAM Session
The Canadian Centre for Research Analysis and Methods offers online and in-person courses to advance your research. Learn from leading experts in behavioural science.
Mediation, Moderation, and Conditional Process Analysis: The Complete Course On Demand
Online and On Demand | December 9, 2024-April 9, 2025. You may begin the course as soon as you register. Registration opens in late October 2024.
Andrew F. Hayes, University of Calgary | $895 (Canadian dollars) + 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, this on-demand course 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. This course is a combination of our popular introductory course and our continuation "second course" with some extra material not available in either course. It is delivered online in asynchronous form from anywhere in the world, with occasional virtual office hours with the instructor available via Zoom. There is no set time when you have to be online. Class officially begins December 9, 2024, and ends April 9, 2025, but you can begin the course as soon as you register.
Introduction to Structural Equation Modeling
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
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.
Introduction to Social Network Analysis
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
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.
Scale Development and Psychometrics
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
Jessica Flake, University of British Columbia
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 Multilevel Modeling
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
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
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
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.
Longitudinal Data Analysis and Visualization
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
Andrea Howard, Carleton University
Data are often collected longitudinally, meaning the same variables are measured repeatedly over time, with the goal of understanding how variables change within and between people over time. This course provides a broad overview of various methods of quantifying, modeling, and visualizing change in variables over time and how to test hypotheses about intraindividual and interindividual change.
Using Generative AI in Academic Research
Not currently scheduled
Aimed at scholars and researchers, this workshop delves into the practicalities of employing ChatGPT for various stages of academic publishing. From conducting thorough literature reviews to facilitating sophisticated data analysis, and from drafting insightful manuscripts to refining them for publication, the workshop covers a broad spectrum of applications. Participants will gain hands-on experience in leveraging ChatGPT for enhancing their research efficiency and quality. The workshop also critically addresses the ethical considerations and limitations inherent in AI-assisted academic work, ensuring a balanced and comprehensive understanding of this cutting-edge tool in the realm of academic publishing.
Introduction to Mixed Methods Research
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
Cheryl Poth, University of Alberta
Mixed methods research requires specific integration of knowledge and skills that also leverage existing qualitative and quantitative skills. Participants in this course will learn how to distinguish credible mixed methods research and have opportunities to ask questions about recent integration practice advancements. Discussions of the many perceived (and real) integration challenges when designing, executing, and disseminating mixed methods research will provide foundational understandings for participants to engage in the design of their own mixed methods research projects.
Mediation, Moderation and Conditional Process Analysis: A Second Course
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
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.
Latent Profile Analysis
Not currently scheduled | Bring this course to your institution and group of at least 10 by hosting a CCRAM session. Inquire using the form here.
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.
Systematic Review and Meta-Analysis
Not currently scheduled
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.
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.
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, Austin, Barcelona, Boston, Chicago, Dallas, Denver, Detroit, Dublin, Edinburgh, Frankfurt, Honolulu, Houston, London (UK), Los Angeles (LAX and Orange County/Santa Ana), Las Vegas, Miami/Fort Lauderdale, Minneapolis, Nashville, New York/Newark, Orlando, Palm Springs, Paris, Phoenix, Portland (Oregon), Rome, Salt Lake City, San Diego, San Francisco, Seattle, Seoul, Tokyo, Washington DC, and Zurich.
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. Once you have paid your registration, we can assist by providing a letter for your visa application attesting to the purpose of your visit to Canada.
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.