News and Updates
There is increasing attention paid to the so-called “reproducibility crisis” in psychology. There have been a number of high-profile reports of failures to reproduce many classic findings in psychology. Although this is of course a critically important topic within the social sciences, a recent article by Samantha Anderson and Scott Maxwell in Psychological Methods argues that we must take a broader perspective on reproducibility than simply replicating the single outcome of a given experiment. In “There’s More Than One Way to Conduct a Replication Study: Beyond Statistical Significance” Anderson and Maxwell propose additional “replication goals” that should be considered in the planning of a study. We recommend this paper if you are interested in learning about a broader perspective on replication within the behavioral sciences.Read More
Longitudinal Structural Equation Modeling is an extension of our prior three-day course on latent curve modeling. In response to requests from participants, we’ve expanded this course into a full five-day workshop. In addition to covering introductory and advanced topics in latent curve modeling, we now also include material on longitudinal measurement modeling, autoregressive cross-lagged panel models, and latent change score analysis, providing a complete treatment of longitudinal modeling approaches within the SEM framework.
Cluster Analysis and Mixture Modeling is an entirely new five-day workshop focused on the application and interpretation of statistical techniques designed to identify subgroups within a heterogeneous population. This course is being developed in partnership with and will be co-taught by Doug Steinley, a professor of quantitative psychology at the University of Missouri who has published extensively on these topics and is the current editor of Journal of Classification. Doug is a remarkable writer and speaker, and we are excited about this joint offering.Read More
An important concept to understand with multilevel data is the distinction between between-group and within-group effects. For instance, larger animal species (elephants) tend to live longer than smaller species (ducks); this is the between-group effect of size on life expectancy. Within a species, however, larger individuals (big ducks) tend to live less long than smaller individuals (small ducks); this is the within-group effect of size on life expectancy. Recently, Shankar Vedantan described another example on NPR: people report being happier making $50 for a project if their co-workers are making $40 versus making $60 for the same project if their co-workers are making $70. See the full story.Read More