Upcoming Livestream Workshops
Free Introduction to Structural Equation Modeling
May 10-12, 2021
Livestream via Zoom
Instructors: Dan Bauer & Patrick Curran
Latent Class/Cluster Analysis and Mixture Modeling
May 24-28, 2021
Livestream via Zoom
Instructors: Dan Bauer & Doug Steinley
Applied Measurement Modeling
May 24-28, 2021
Livestream via Zoom
Instructors: Patrick Curran & Greg Hancock
Applied Research Design Using Mixed Methods
June 3-4, 2021
Livestream via Zoom
Instructor: Greg Guest
Longitudinal Structural Equation Modeling
June 7-11, 2021
Livestream via Zoom
Instructors: Dan Bauer & Patrick Curran
Applied Qualitative Research
June 14-18, 2021
Livestream via Zoom
Instructors: Greg Guest & Emily Namey
Introduction to Quantitative Meta-Analysis
June 15-18, 2021
Livestream via Zoom
Instructor: Tasha Beretvas
News & Updates
New Just-in-Time Workshop for Self-Paced Learning on Structural Equation Modeling
In May of 2020, Dan Bauer and Patrick Curran offered a free three-day Livestream course titled Introduction to Structural Equation Modeling. There were 3,000 participants from 38 countries and six continents. Because many people were unable to register at the time, we are now offering the recordings and materials from this three-day class for just $49 (simply to cover infrastructure...
New Class on Applied Research Design Using Mixed Methods
We've often been asked if we could offer a class on the foundations of research methods and design. We're thus excited to offer Applied Research Design Using Mixed Methods by Greg Guest, acclaimed research scientist and instructor (and proud Canadian). Below, Greg tells us about his background, his class, and what he hopes participants will gain from taking the workshop.
Announcing Fall 2020 Workshops
For the first time, CBA will be hosting a Fall online workshop series this December, including a new 2-day workshop on Applied Research Design using Mixed Methods from acclaimed instructor Greg Guest. The course schedule is: December 2-4: Introduction to Multilevel Modeling December 7-8: Applied Research Design using Mixed Methods December 9-11: Introduction to Longitudinal Structural Equation Modeling December 14-16: Introduction to...
Quantitude Podcast Episode Dedicated to Diversity in Academia
Patrick Curran and Greg Hancock have dedicated a recent episode of their quantitative methods podcast, Quantitude, to diversity and equity in academia. As part of their summer Quanti•Qamp episode series, they welcome special guest Dr. A. Nayena Blankson, Professor of Psychology at Spelman College, to discuss how we can capitalize on the current national conversation about race and equity to...
CBA Completes 3-Day Intro to SEM Webinar
From May 6 to 8, CBA conducted a free 3-day Introduction to Structural Equation Modeling webinar, drawing participants from all around the world. Just for fun, we generated the map below to show the countries of origin of participants. To receive notices about future workshop offerings like this, follow us on twitter or facebook or subscribe to our newsletter ("Receive...
I have a fair amount of missing data that I don’t want to delete prior to my analysis. What are the best options available for me to retain these partially missing cases?
Missing data are a common problem faced by nearly all data analysts, particularly with the increasing emphasis on the collection of repeated assessments over time. Data values can be missing for a variety of reasons. A common situation is when a subject provides data at one time point but fails to provide data at a later time point; this is...
The Cronbach’s Alphas for all the scales in my path analysis are in the .7s, so why is a reviewer criticizing me for not paying sufficient attention to reliability?
The issue of reliability can be a complex and often misunderstood issue. Entire text books have been written about reliability, validity, and scale construction, so we only briefly touch on the key issues here (see Bandalos, 2018, for an excellent recent example). To begin, in most areas across the behavioral, educational, and health sciences, theoretical constructs are hypothesized to exist...
A New Podcast on All Things Quantitative: Quantitude
Our very own Patrick Curran has teamed up with Greg Hancock (Professor, College of Education, University of Maryland) to launch a new podcast called Quantitude. It is dedicated to all things quantitative, ranging from the relevant to the highly irrelevant. Picture a cross between the Car Talk guys, the two old men from the Muppets, and a graduate statistics course....
2020 Summer Workshops
We're pleased to announce our summer workshop schedule for 2020. The schedule for our regular 5-Day workshops is: May 11-15: Network Analysis May 11-15: Structural Equation Modeling May 18-22: Longitudinal Structural Equation Modeling June 1-5: Latent Class/Cluster Analysis and Mixture Modeling June 8-12: Multilevel Modeling now with an R software option in addition to SAS, SPSS, and Stata In addition, we are pleased to...
How can I estimate statistical power for a structural equation model?
This is a question that often arises when using structural equation models in practice, sometimes once a study is completed but more often in the planning phase of a future study. To think about power, we must first consider ways in which we can make errors in hypothesis testing (Cohen, 1992). Briefly, the Type I error rate is the probability...
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