Assessment
Volume 17, Issue 4, 2010, Pages 484-496

A rasch rating scale modeling of the schutte self-report emotional intelligence scale in a sample of international students (Article)

Kim D.-H.* , Wang C. , Ng K.-M.
  • a EDLD/COED, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, United States
  • b EDLD/COED, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, United States
  • c EDLD/COED, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, United States

Abstract

This study examined the psychometric properties of the Schutte Self-Report Emotional Intelligence (SSREI) scale in a sample of international students studying in the U.S. universities using Rasch analysis. The results indicated that the original five-category rating structure may not function effectively for the international student sample. The results also revealed that although most of the items in the SSREI scale contributed to a single underlying construct, reverse-keyed items appeared to be problematic. Examination of the person-item map suggested that the items may be inappropriately targeted for this sample. In sum, the original version of the SSREI scale needs further improvement to adequately measure emotional intelligence. © The Author(s) 2010.

Author Keywords

International students SSREI Rasch model the Schutte Self-Report Emotional Intelligence Scale emotional intelligence psychometrics

Index Keywords

Models, Psychological psychological model psychological aspect Emotions human Self Report statistics Internationality Emotional Intelligence affect international cooperation Logistic Models Statistics as Topic United States student Humans Psychometrics psychometry Article emotion Models, Statistical Students statistical model
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049371682&doi=10.1177%2f1073191110376593&partnerID=40&md5=d79075878476c641d1a4fd7fcc731d96
DOI: 10.1177/1073191110376593
ISSN: 10731911
Cited by: 7
Original Language: English