How to Apply Statistical Software in Doing Multilevel Modeling: A Comparative Study Perspective. (September 2020)
- Record Type:
- Journal Article
- Title:
- How to Apply Statistical Software in Doing Multilevel Modeling: A Comparative Study Perspective. (September 2020)
- Main Title:
- How to Apply Statistical Software in Doing Multilevel Modeling: A Comparative Study Perspective
- Authors:
- Lin, Liming
Zhang, Xiaosan - Abstract:
- Abstract: Multilevel model methodology is widely used in social science. There are many textbooks and h papers introducing the principles and methods of multilevel model. However, most of them are simply a brief instruction how to apply statistical software to run multilevel model, which brings some obstacles for beginners in empirical research. To address this gap, this paper aims to help beginners and common users to grasp the operation skills of multilevel model in these statistical software. Firstly, the operation procedure of multilevel model in eight statistical software are introduced. Secondly, this paper systematically compares the output results of multilevel models of these statistical software. Finally, some operational guidelines and suggestions are put forward for the empirical application of multilevel model.
- Is Part Of:
- Journal of physics. Volume 1631(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1631(2020)
- Issue Display:
- Volume 1631, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 1631
- Issue:
- 1
- Issue Sort Value:
- 2020-1631-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1631/1/012159 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25499.xml