Network Analysis on Attitudes: A Brief Tutorial. (July 2017)
- Record Type:
- Journal Article
- Title:
- Network Analysis on Attitudes: A Brief Tutorial. (July 2017)
- Main Title:
- Network Analysis on Attitudes
- Authors:
- Dalege, Jonas
Borsboom, Denny
van Harreveld, Frenk
van der Maas, Han L. J. - Abstract:
- In this article, we provide a brief tutorial on the estimation, analysis, and simulation on attitude networks using the programming language R. We first discuss what a network is and subsequently show how one can estimate a regularized network on typical attitude data. For this, we use open-access data on the attitudes toward Barack Obama during the 2012 American presidential election. Second, we show how one can calculate standard network measures such as community structure, centrality, and connectivity on this estimated attitude network. Third, we show how one can simulate from an estimated attitude network to derive predictions from attitude networks. By this, we highlight that network theory provides a framework for both testing and developing formalized hypotheses on attitudes and related core social psychological constructs.
- Is Part Of:
- Social psychological & personality science. Volume 8:Number 5(2017)
- Journal:
- Social psychological & personality science
- Issue:
- Volume 8:Number 5(2017)
- Issue Display:
- Volume 8, Issue 5 (2017)
- Year:
- 2017
- Volume:
- 8
- Issue:
- 5
- Issue Sort Value:
- 2017-0008-0005-0000
- Page Start:
- 528
- Page End:
- 537
- Publication Date:
- 2017-07
- Subjects:
- attitudes -- network analysis -- network estimation -- network simulation -- network theory
Personality -- Periodicals
Social psychology -- Periodicals
Electronic journals
155.2 - Journal URLs:
- http://spp.sagepub.com/ ↗
http://online.sagepub.com/ ↗ - DOI:
- 10.1177/1948550617709827 ↗
- Languages:
- English
- ISSNs:
- 1948-5506
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8628.xml