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
I’m reporting within- and between-group effects in from a multilevel model, and my reviewer says I need to address “sampling error” in the group means. What does this mean, and what can I do to address this?
This is a long-neglected topic, and one that is receiving increasing attention in the methodological literature. The problem that the reviewer is referring to is that the usual ways we obtain within- and between-group effects for lower-level predictors within the multilevel model (MLM) oftentimes generate biased estimates. The same issue arises with any form of clustering, such as when trying...
My advisor told me I should group-mean center my predictors in my multilevel model because it might “make my effects significant” but this doesn’t seem right to me. What exactly is involved in centering predictors within the multilevel model?
This is an excellent question and the topic of centering is often a source of confusion when using multilevel models (MLMs) in practice. This confusion is in part due to the need to address a complexity that arises within the MLM but is not relevant within the traditional multiple regression model: when modeling the effect of a lower-level predictor on...
A reviewer recently asked me to comment on the issue of equivalent models in my structural equation model. What is the difference between alternative models and equivalent models within an SEM?
Differentiating between alternative models and equivalent models has long been a point of confusion in many research applications. Although the challenge of equivalent models can arise within almost any analytic setting, this is particularly salient within the structural equation model (or SEM). It is helpful first distinguish between alternative and equivalent models. To begin, one of the greatest strengths of...
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...
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