EconPapers    
Economics at your fingertips  
 

Measuring Latent Constructs in Nonprofit Surveys with Item Response Theory: The Example of Political Ideology

Mason Dyana P. ()
Additional contact information
Mason Dyana P.: Department of Planning, Public Policy and Management, University of Oregon, Eugene, OR 97403-1209, USA

Nonprofit Policy Forum, 2017, vol. 8, issue 1, 91-110

Abstract: Latent constructs are the unobservable characteristics of individuals, groups and organizations. Although researchers use many tools to measure latent constructs, including scaled-items and factor analysis techniques, this study offers a different way to measure these characteristics in nonprofit research. Using Item Response Theory (IRT), this study develops one approach to measure revealed political ideology among leaders in nonprofit social welfare organizations. This approach can also be used to measure a variety of other constructs that may be difficult to measure through traditional approaches, opening up new lines of inquiry for those who study nonprofit organizations.

Keywords: nonprofit; measurement; methods; policy; political ideology (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/npf-2016-0020 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:nonpfo:v:8:y:2017:i:1:p:91-110:n:3

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/npf/html

DOI: 10.1515/npf-2016-0020

Access Statistics for this article

Nonprofit Policy Forum is currently edited by Dennis Young

More articles in Nonprofit Policy Forum from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:nonpfo:v:8:y:2017:i:1:p:91-110:n:3