Table talk: inviting students to share the feast

This account describes part of the first morning of the AFT accredited South Yorkshire Foundation Course in Family Therapy and Systemic Practice. The course committee members join together in a reflective conversation about the course. We share with the students our ‘kitchen table’ discussions, the history of our involvement, and how it has affected our lives. We aim to introduce social constructionist practice in which we present the context of the course and address the power relationships in the room by being transparent about our own experiences. We hope to create an atmosphere in which learning can flourish.     

Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion

Abstract

Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score (LCS) models provide a powerful analytical framework to analyze data from ALDs. With developmental data, LCS models can be specified using measurement occasion as the time metric. This provides a number of benefits, but has an important limitation: It makes it not possible to characterize the longitudinal changes as a function of a developmental process such as age or biological maturation. To overcome this limitation, we propose an extension of an occasion-based LCS model that includes age differences at the first measurement occasion. We conducted a Monte Carlo study and compared the results of including different transformations of the age variable. Our results indicate that some of the proposed transformations resulted in accurate expectations for the studied process across all the ages in the study, and excellent model fit. We discuss these results and provide the R code for our analysis.