Parceling in small sample sizes – Omolola A. Odejimi

In this workshop we will discuss the benefits of parceling in small sample sizes. Parceling addresses several issues stemming from sources of variance commonly found in item level data. We will talk about how parcels can increase power in small sample sizes, avoid convergence issues by reducing model complexity, produce more reasonable type I error rates and avoid the over-parameterization (and therefore mis-specified models) seen in small sample size studies. We will review examples of the above-mentioned topics in this workshop.

Omolola A. Odejimi
Texas Tech University