Micro and Macro Topics
| Micro: Computational Modeling with Dr. Goran Kuljanin This brief topic workshop introduces participants to computational process models. Historically, organizational science has relied on narrative construct theories, construct measurement, and associated statistical construct models (e.g., structural equations modeling) to advance knowledge. Yet, the explanatory accounts, predictive capabilities, and interventions afforded by construct research remain one step removed from processes in operation and two steps removed from their generative mechanisms. The study of processes involves theorizing and modeling the mechanisms by which entities (e.g., individuals, teams, organizations) enact sequences of actions responsible for phenomena of interest (e.g., group differences, multivariate relations, longitudinal patterns, teams outperforming their talent, organizational gender stratification, etc.). To garner process thinking, we may develop computational process models, which generally facilitate the systematic study of processes by explicitly representing and simulating entities and their actions and mechanisms. This workshop walks participants through the fundamental ideas behind developing computational process models. |
| Macro: Panel Data Analysis Concepts with Dr. DJ Schepker This workshop focuses on the concepts related to analyzing panel data (e.g. multiple, repeated observations on an entity over time). We will cover differences between econometric random effects and fixed effects models, including when their use is appropriate and their theoretical meaning. We will also explore specifications across multiple types of models and the use of the hybrid model. Finally, we will conclude with discussions around when the dependence in the data (such as time effects) may be a nuisance to be controlled for versus a variable with explanatory power. |
