News and Updates


Quantitude Podcast Episode Dedicated to Diversity in Academia

July 9, 2020

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…

Read More

CBA Completes 3-Day Intro to SEM Webinar

May 10, 2020

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…

Read More

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?

February 26, 2020

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…

Read More

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?

December 21, 2019

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…

Read More

A New Podcast on All Things Quantitative: Quantitude

October 30, 2019

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,…

Read More

2020 Summer Workshops

October 2, 2019

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…

Read More

How can I estimate statistical power for a structural equation model?

July 6, 2019

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…

Read More

What are modification indices and should I use them when fitting SEMs to my own data?

June 10, 2019

This is a great question and is one that prompts much disagreement among quantitative methodologists. Nearly all confirmatory factor analysis or structural equation models impose some kind of restrictions on the number parameters to be estimated. Usually, some parameters are set to zero (and thus not estimated at all), but sometimes restrictions come in the…

Read More

Do you have any materials that demonstrate how to estimate structural equation models using lavaan in R?

April 24, 2019

This is a question we often hear, particularly from students and junior researchers who don’t have access to sometimes expensive commercial software for fitting structural equation models. It is possible to estimate a wide array of SEMs, ranging from simple path models to fully latent SEMs to growth curve models and beyond, using the lavaan…

Read More

How do you choose the best longitudinal data analytic method for testing your research questions?

April 2, 2019

We have worked with statistical models for longitudinal data for more than two decades and this remains a vexing question to us both. There are so many modeling options from which to choose that it is often overwhelming to know which statistical method to use when. This is further complicated by the ongoing refinement of…

Read More