Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
Anna Paolillo (),
Margherita Pasini (),
Silvia A. Silva () and
Paola Magnano ()
Additional contact information
Anna Paolillo: University of Verona
Margherita Pasini: University of Verona
Silvia A. Silva: Instituto Universitário de Lisboa (ISCTE-IUL), BRU-IUL
Paola Magnano: Kore University
Quality & Quantity: International Journal of Methodology, 2017, vol. 51, issue 2, No 25, 873-890
Abstract:
Abstract The Diversity Climate Scale is a questionnaire developed in the U.S. for the investigation of employees’ shared perceptions about their organizational context related to women and minorities. The measure was not used in the European context yet. The psychometric properties of the Italian adaptation of the Mor Barak, Cherin and Berkman Diversity Climate Scale were investigated in this work by using a sample of Italian (n = 395) white-collar and blue-collar employees. A pilot study to make the scale suitable for the Italian context was conducted using the cognitive interview technique. Then a series of multiple-group confirmatory factor analyses was performed. The results showed that a three-factor solution best fit the data, using only 12 items of the original scale. The analyses supported factor variance and factor covariance equivalence in addition to metric equivalence. Internal consistency of the scale was good. Discriminant validity between latent factors and Criterion validity were supported.
Keywords: Diversity climate; Measurement equivalence; Validation; Perceptions; Organizational context (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s11135-016-0316-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:qualqt:v:51:y:2017:i:2:d:10.1007_s11135-016-0316-3
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-016-0316-3
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().