Longitudinal Modelling in Organizational Research: A Tutorial of Two Analytical Approaches

Collecting and analysing longitudinal data has continuously been recommended in organizational research to help researchers gain better understandings about the phenomenon of change, which often relates to certain research questions such as how one variable itself changes over time, how the change of one variable influences the change of another variable, and so forth. Over the past decades, researchers from different disciplines have developed various modelling techniques for analysing longitudinal data, which provided us with great flexibility in choosing the appropriate analytical approaches. In this workshop, the presenter will review two commonly used longitudinal modelling approaches in organizational research, the multi-level modelling (MLM) approach and the latent growth modelling (LGM) approach, and present a step-by-step demonstration on how to use these two approaches to analyse a sample longitudinal dataset. In the first part of the workshop, through a quick review of several examples from existing publications, the presenter will explain what research questions can and should be answered through longitudinal modelling and will illustrate how and why the two analytical approaches can help answer those questions. In the second part of the workshop, using a sample longitudinal dataset, the presenter will demonstrate how to prepare the data for longitudinal analysis (with Excel), how to specify multi-level and latent growth models (with Mplus), and finally, how to interpret and present the results from the two models.

Presenter

Yukun Liu is a Research Fellow at the Centre for Transformative Work Design within the Curtin Future of Work Institute. He obtained his PhD in Management and Organizations from the National University of Singapore in 2017. His research interests include work design, well-being, daily diary studies, and longitudinal studies.

Venue and RSVP

This session will be run both via live stream, over the web, AND face to face at 78 Murray Street, in Level 2, Room 213. Due to social distancing restrictions, spaces in the face to face session are extremely limited. To reserve your spot, and to obtain the link to the stream, please contact Diane.Garnham@curtin.edu.au as soon as possible with your preference.