172
Views
5
CrossRef citations to date
0
Altmetric
Articles

A Pilot Study of Students' Perceptions and Attitudes Toward Multicultural Concepts: A Pre- and Post-Course Analysis

Pages 42-58 | Received 29 Jun 2009, Accepted 13 Nov 2009, Published online: 01 Mar 2010
 

Abstract

Diversity issues have been the cause of both pain and inspiration within the United States. One environment that has aided diversity movements are institutions of higher learning. The purpose of this pilot study was to examine characteristics of a survey used to measure students' perceptions toward various diversity issues pre- and post-course on multicultural/diversity issues in hospitality management. One hundred students were solicited for this study. The instrument measured perceptions toward 23 statements in four sections using a 5-point Likert-type scale. The statistical procedures employed for this study were descriptive statistics, exploratory factor analysis, and multivariate analysis of variance. It was found that the survey used for this study contained areas of concern, and adjustments to the survey may be needed to improve reliability. It was also found that students' post-course self-assessments of their diversity awareness differed significantly from their pre-course assessments. The results of this pilot study could be used by various hospitality organizations looking to obtain a competitive advantage through their understanding and embracing of diversity issues as part of their corporate culture.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 227.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.