VS: A R package for Conditional Path Analysis (81408)

Session Information: Research Methodologies, Quantitative and Qualitative
Session Chair: Geun Cheol Lee

Saturday, 25 May 2024 16:45
Session: Session 5
Room: Room 605
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

In this presentation, we will introduce VS, a new statistical package designed for the analysis of conditional path models using structural equation modeling (SEM). Conditional path analysis involves both statistical mediation and moderation processes. However, conducting conditional path analysis in SEM can be challenging, as it requires advanced statistical skills to correctly specify the complicated SEM working model and create the necessary interaction terms. The VS package, a specially designed R package, aims to simplify the process of conducting conditional path analysis and make conditional path analysis more accessible to researchers in psychology and other related fields. It enables researchers with minimal knowledge in SEM to easily analyze their data. With the VS package, users only need to specify the conceptual model of interest. The package then automatically transforms the conceptual model into the SEM working model, generates the required dataset including key variables and their interaction terms, conducts the SEM analysis, and prepares a summary table of the major results for testing conditional direct and indirect effects. Examples of conditional path analysis using the VS package will be demonstrated in the presentation. Researchers will learn how to apply the VS package to conduct their own conditional path analysis and some user-friendly features of the VS package. By the end of the presentation, attendees will have a clear understanding of the benefits and functionalities of the VS package, and how it can enhance their research by providing an efficient and user-friendly solution for conducting conditional path analysis in SEM.

Authors:
Joyce Lok Yin Kwan, The Education University of Hong Kong, Hong Kong
Jacky Chi Kit Ng, The Hong Kong Polytechnic University of Hong Kong, Hong Kong
Wai Chan, The Chinese University of Hong Kong, Hong Kong
Cherry Yik Ting Choi, The Education University of Hong Kong, Hong Kong


About the Presenter(s)
Dr Joyce Kwan is a University Assistant Professor/Lecturer at The Education University of Hong Kong in Hong Kong

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00