Facilitated by Meryl Stone and Dr Todd Walton (Office of the Director, Student Life and Learning, UNSW)
This presentation describes the methods and outlines the results of a project that explored how the success of low socioeconomic students at UNSW was impacted by their interaction with support initiatives offered by the division of Student Life and Learning (SLL). Data from the Student Information Management System was integrated with SLL unit interaction data in SAS Enterprise Guide to investigate any correlations between interaction and success. Success was measured against various academic indicators such as WAM before and after interaction, WAM at completion and discontinuation rate. Determining the influence of support initiative interaction on these success indicators necessitated statistical modelling that incorporated the hierarchical structure and non-independent nature of the data. Multilevel modelling (also known as hierarchical linear modelling) was selected as the most appropriate statistical test for this purpose.
Findings show that SLL support initiatives contribute in multiple and diverse ways to low SES student success and that this diversity is a function of the distinct service missions of each provider. A further outcome of the study was the creation of a flexible and updateable source of demographic and academic student data created in SAS. This data source can be used for future studies, research and evaluation across the Division.
If you would like to join this research group or would like more information please contact Lorenzo Vigentini firstname.lastname@example.org
Room 1025, Level 10, Library Tower